> > 🚨 Qwen2.5-Math mainly supports solving English and Chinese math problems through CoT and TIR. We do not recommend using this series of models for other tasks. > >
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+export const provider: ProviderWithModels = {"id":"huggingface","name":"Hugging Face","region":"US","headquarters":"New York, NY","founded":2016,"url":"https://huggingface.co","api_url":"https://router.huggingface.co/v1","docs_url":"https://huggingface.co/docs/api-inference","pricing_url":"https://huggingface.co/pricing","description":"The AI community platform hosting open-source models with serverless inference endpoints.","type":"aggregator","sdk":{"python":"huggingface_hub","javascript":"@huggingface/inference"},"openai_compatible":true,"free_tier":true,"github_url":"https://github.com/huggingface","models_url":"https://huggingface.co/models","twitter_url":"https://x.com/huggingface","discord_url":"https://discord.com/invite/hugging-face-879548962464493619","blog_url":"https://huggingface.co/blog","terms_url":"https://huggingface.co/terms-of-service","support_url":"https://huggingface.co/support","icon":"","models":[{"id":"0xgr3y/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-tall_tame_panther","name":"Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-tall_tame_panther","created_by":"0xgr3y","source":"official","release_date":"2025-11-13","context_window":32768,"license":"mit","parameters":0.49,"page_url":"https://huggingface.co/0xgr3y/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-tall_tame_panther","architecture":"transformer","model_type":"code","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"aaditya/Llama3-OpenBioLLM-8B","name":"Llama3-OpenBioLLM-8B","created_by":"aaditya","source":"official","last_updated":"2026-03-24","page_url":"https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B","model_type":"chat","capabilities":{"streaming":true,"fine_tuning":true},"description":"Introducing OpenBioLLM-8B: A State-of-the-Art Open Source Biomedical Large Language Model","release_date":"2024-04-20","context_window":8192,"license":"llama3","tagline":"Introducing OpenBioLLM-8B: A State-of-the-Art Open Source Biomedical Large Language Model","architecture":"transformer","open_weight":true,"modalities":{"input":["text"],"output":["text"]}},{"id":"allenai/Olmo-3-7B-Instruct","name":"Olmo-3-7B-Instruct","created_by":"allenai","source":"official","last_updated":"2026-06-29","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"parameters":7.3,"page_url":"https://huggingface.co/allenai/Olmo-3-7B-Instruct","release_date":"2025-11-19","context_window":65536,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"]},{"id":"allenai/Olmo-3.1-32B-Instruct","name":"Olmo-3.1-32B-Instruct","created_by":"allenai","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"parameters":32,"page_url":"https://huggingface.co/allenai/Olmo-3.1-32B-Instruct","release_date":"2025-12-10","context_window":65536,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"]},{"id":"alpindale/Llama-3.2-1B-Instruct","name":"Llama-3.2-1B-Instruct","created_by":"alpindale","source":"official","family":"Llama-3.2","release_date":"2024-09-25","context_window":131072,"license":"llama3.2","parameters":1.2,"page_url":"https://huggingface.co/alpindale/Llama-3.2-1B-Instruct","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-04-01"},{"id":"anthracite-org/magnum-v4-72b","name":"magnum-v4-72b","created_by":"anthracite-org","source":"official","description":"This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus.","release_date":"2024-09-20","context_window":32768,"license":"apache-2.0","parameters":73,"page_url":"https://huggingface.co/anthracite-org/magnum-v4-72b","architecture":"transformer","tagline":"This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus.","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"arcee-ai/Trinity-Large-Thinking","name":"Trinity-Large-Thinking","created_by":"arcee-ai","source":"official","description":"src=\"https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOW_mgVGeic9WJ.png\" alt=\"Arcee Trinity Large Thinking\" style=\"max-width: 100%; height: auto;\" >","release_date":"2026-04-01","context_window":262144,"license":"apache-2.0","parameters":399,"active_parameters":6.2,"page_url":"https://huggingface.co/arcee-ai/Trinity-Large-Thinking","architecture":"moe","tagline":"src=\"https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOW_mgVGeic9WJ.png\" alt=\"Arcee Trinity Large Thinking\" style=\"max-width: 100%; height: auto;\" >","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-04-10"},{"id":"argilla/Llama-3.2-1B-Instruct-APIGen-FC-v0.1","name":"Llama-3.2-1B-Instruct-APIGen-FC-v0.1","created_by":"argilla","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"Llama-3.2","model_type":"chat","parameters":1,"page_url":"https://huggingface.co/argilla/Llama-3.2-1B-Instruct-APIGen-FC-v0.1","description":"This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on [argilla-warehouse/apigen-synth-trl](https://huggingface.co/datasets/argilla-warehouse/apigen-synth-trl) dataset, a version of [argilla/Synth-APIGen-v0.1](https://huggingface.co/datasets/argilla-warehouse/Synth-APIGen-v0.1) ready to do SFT on top of it. It has been trained using [TRL](https://github.com/huggingface/trl).","release_date":"2024-10-07","context_window":131072,"license":"apache-2.0","tagline":"This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on [argilla-warehouse/apigen-synth-trl](https://huggingface.co/datasets/argilla-warehouse/apigen-synth-trl) dataset, a version of [argilla/Synth-APIGen-v0.1](https://huggingface.co/datasets/argilla-warehouse/Synth-APIGen-v0.1) ready to do SFT on top of it.","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"argilla-warehouse/Llama-3.2-1B-Instruct-v2-FC","name":"Llama-3.2-1B-Instruct-v2-FC","created_by":"argilla-warehouse","source":"official","last_updated":"2026-03-23","capabilities":{"streaming":true,"tool_call":true},"family":"Llama-3.2","model_type":"chat","parameters":1,"page_url":"https://huggingface.co/argilla-warehouse/Llama-3.2-1B-Instruct-v2-FC","description":"This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the [argilla-warehouse/apigen-smollm-trl-FC](https://huggingface.co/datasets/argilla-warehouse/apigen-smollm-trl-FC) dataset. It has been trained using [TRL](https://github.com/huggingface/trl).","release_date":"2024-10-20","context_window":131072,"tagline":"This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the [argilla-warehouse/apigen-smollm-trl-FC](https://huggingface.co/datasets/argilla-warehouse/apigen-smollm-trl-FC) dataset.","architecture":"transformer","tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"baseten/Llama-3.2-3B-Instruct-pythonic","name":"Llama-3.2-3B-Instruct-pythonic","created_by":"baseten","source":"official","family":"Llama-3.2","release_date":"2025-09-12","context_window":131072,"license":"llama3.2","parameters":3.2,"page_url":"https://huggingface.co/baseten/Llama-3.2-3B-Instruct-pythonic","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-29"},{"id":"codellama/CodeLlama-7b-Instruct-hf","name":"CodeLlama-7b-Instruct-hf","created_by":"codellama","source":"official","family":"codellama","description":"Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 7B instruct-tuned version in the Hugging Face Transformers format. This model is designed for general code synthesis and understanding. Links to other models can be found in the index at the bottom.","release_date":"2023-08-24","context_window":16384,"license":"llama2","parameters":6.7,"page_url":"https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf","architecture":"transformer","model_type":"code","tagline":"Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters.","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"deepcogito/cogito-v1-preview-qwen-32B","name":"cogito-v1-preview-qwen-32B","created_by":"deepcogito","source":"official","release_date":"2025-03-31","context_window":131072,"license":"apache-2.0","page_url":"https://huggingface.co/deepcogito/cogito-v1-preview-qwen-32B","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-29","parameters":33},{"id":"DeepMount00/Llama-3-8b-Ita","name":"Llama-3-8b-Ita","created_by":"deepmount00","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"Llama-3","model_type":"chat","parameters":8,"page_url":"https://huggingface.co/DeepMount00/Llama-3-8b-Ita","description":"**💡 Found this resource helpful?** Creating and maintaining open source AI models and datasets requires significant computational resources. If this work has been valuable to you, consider [supporting my research](https://buymeacoffee.com/michele.montebovi) to help me continue building tools that benefit the entire AI community. Every contribution directly funds more open source innovation! ☕","release_date":"2024-05-01","context_window":8192,"license":"llama3","tagline":"**💡 Found this resource helpful?** Creating and maintaining open source AI models and datasets requires significant computational resources.","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"deepreinforce-ai/Ornith-1.0-35B","name":"Ornith-1.0-35B","created_by":"deepreinforce-ai","source":"official","release_date":"2026-06-21","license":"mit","parameters":0,"page_url":"https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B","architecture":"moe","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-06-30"},{"id":"deepseek-ai/DeepSeek-R1-0528-Qwen3-8B","name":"DeepSeek-R1-0528-Qwen3-8B","created_by":"deepseek","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"reasoning","parameters":8.2,"page_url":"https://huggingface.co/deepseek-ai/DeepSeek-R1-0528-Qwen3-8B","release_date":"2025-05-29","context_window":131072,"license":"mit","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"defog/sqlcoder-7b-2","name":"sqlcoder-7b-2","created_by":"defog","source":"official","description":"The model weights were updated at 7 AM UTC on Feb 7, 2024. The new model weights lead to a much more performant model – particularly for joins.","release_date":"2024-02-05","context_window":16384,"license":"cc-by-sa-4.0","parameters":6.7,"page_url":"https://huggingface.co/defog/sqlcoder-7b-2","architecture":"transformer","tagline":"The model weights were updated at 7 AM UTC on Feb 7, 2024.","capabilities":{"streaming":true,"fine_tuning":true},"open_weight":true,"last_updated":"2026-06-18"},{"id":"DeSTA-ntu/Llama-3.1-8B-Instruct","name":"Llama-3.1-8B-Instruct","created_by":"desta-ntu","source":"official","family":"Llama-3.1","release_date":"2025-07-06","context_window":131072,"parameters":8,"page_url":"https://huggingface.co/DeSTA-ntu/Llama-3.1-8B-Instruct","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true},"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"dicta-il/DictaLM-3.0-1.7B-Instruct","name":"DictaLM-3.0-1.7B-Instruct","created_by":"dicta-il","source":"official","description":"[![](\"https://i.ibb.co/5Lbwyr1/dicta-logo.jpg\")
](https://dicta.org.il)","release_date":"2025-12-01","context_window":62080,"license":"apache-2.0","page_url":"https://huggingface.co/dicta-il/DictaLM-3.0-1.7B-Instruct","architecture":"transformer","tagline":"[](https://dicta.org.il)","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-06-10"},{"id":"dphn/Dolphin-Mistral-24B-Venice-Edition","name":"Dolphin-Mistral-24B-Venice-Edition","created_by":"dphn","source":"official","description":"Website: https://dphn.ai Twitter: https://x.com/dphnAI Web Chat: https://chat.dphn.ai Telegram bot: https://t.me/DolphinAI_bot","release_date":"2025-06-12","context_window":32768,"license":"apache-2.0","parameters":24,"page_url":"https://huggingface.co/dphn/Dolphin-Mistral-24B-Venice-Edition","architecture":"transformer","tagline":"Website: https://dphn.ai Twitter: https://x.com/dphnAI Web Chat: https://chat.dphn.ai Telegram bot: https://t.me/DolphinAI_bot","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-04-07"},{"id":"Efficient-Large-Model/gemma-2-2b-it","name":"gemma-2-2b-it","created_by":"efficient-large-model","source":"official","last_updated":"2026-03-24","family":"gemma-2","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":2.6,"page_url":"https://huggingface.co/Efficient-Large-Model/gemma-2-2b-it","description":"**Model Page**: [Gemma](https://ai.google.dev/gemma/docs/base)","release_date":"2024-12-12","context_window":8192,"license":"gemma","tagline":"**Model Page**: [Gemma](https://ai.google.dev/gemma/docs/base)","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"EssentialAI/rnj-1-instruct","name":"rnj-1-instruct","created_by":"essentialai","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"page_url":"https://huggingface.co/EssentialAI/rnj-1-instruct","description":"Rnj-1 is a family of 8B parameter open-weight, dense models trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models. These models perform well across a range of programming languages and boast strong agentic capabilities (e.g., inside agentic frameworks like mini-SWE-agent), while also excelling at tool-calling. They additionally exhibit strong capabilities in math and science.","release_date":"2025-12-04","context_window":32768,"license":"apache-2.0","parameters":8.3,"tagline":"style=\"vertical-align: middle;\" src=\"https://img.shields.io/badge/%F0%9F%8C%90%20Website-essential.ai-4b9fe1?color=4b9fe1&logoColor=white\"/>","architecture":"transformer","open_weight":true,"tools":["function_calling"],"model_type":"chat","modalities":{"input":["text"],"output":["text"]}},{"id":"failspy/llama-3-70B-Instruct-abliterated","name":"llama-3-70B-Instruct-abliterated","created_by":"failspy","source":"official","family":"llama-3","description":"This is meta-llama/Llama-3-70B-Instruct with orthogonalized bfloat16 safetensor weights, generated with the methodology that was described in the preview paper/blog post: '[Refusal in LLMs is mediated by a single direction](https://www.alignmentforum.org/posts/jGuXSZgv6qfdhMCuJ/refusal-in-llms-is-mediated-by-a-single-direction)' which I encourage you to read to understand more.","release_date":"2024-05-07","context_window":8192,"license":"llama3","page_url":"https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated","architecture":"transformer","model_type":"chat","tagline":"This is meta-llama/Llama-3-70B-Instruct with orthogonalized bfloat16 safetensor weights, generated with the methodology that was described in the preview paper/blog post: '[Refusal in LLMs is mediated","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-04-07"},{"id":"failspy/Meta-Llama-3-8B-Instruct-abliterated-v3","name":"Meta-Llama-3-8B-Instruct-abliterated-v3","created_by":"failspy","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"Llama-3","model_type":"chat","parameters":8,"page_url":"https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3","description":"[My Jupyter \"cookbook\" to replicate the methodology can be found here, refined library coming soon](https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated/blob/main/ortho_cookbook.ipynb)","release_date":"2024-05-20","context_window":8192,"license":"llama3","tagline":"[My Jupyter \"cookbook\" to replicate the methodology can be found here, refined library coming soon](https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated/blob/main/ortho_cookbook.ipynb)","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"farbodtavakkoli/OTel-LLM-0.6B-IT","name":"OTel-LLM-0.6B-IT","created_by":"farbodtavakkoli","source":"official","description":"**OTel-LLM-0.6B-IT** is a telecom-specialized language model fine-tuned on telecommunications domain data. 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Supported region: Singapore.","tagline":"Qwen2.5 is a large language model series from Qwen."},{"id":"Qwen/Qwen2.5-32B-Instruct","name":"Qwen2.5-32B-Instruct","created_by":"qwen","source":"official","last_updated":"2026-05-23","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true,"reasoning":true,"structured_output":true,"batch":true,"json_mode":true},"model_type":"chat","parameters":33,"page_url":"https://huggingface.co/Qwen/Qwen2.5-32B-Instruct","release_date":"2024-09-17","context_window":32768,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Qwen2.5 is part of the Qwen Large Language Model (LLM) series. We released a series of base language models and instruction-tuned language models with parameter scales ranging from 7 billion to 72 billion. 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[Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt) ## International If you select the [International](https://www.alibabacloud.com/help/en/document_detail/3004398.html#080da663a75xh) deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.","tagline":"Qwen2.5 is a large language model series from Qwen."},{"id":"Qwen/Qwen2.5-3B-Instruct","name":"Qwen2.5-3B-Instruct","created_by":"qwen","source":"official","release_date":"2024-09-17","context_window":32768,"license":"other","parameters":3.1,"page_url":"https://huggingface.co/Qwen/Qwen2.5-3B-Instruct","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"Qwen/Qwen2.5-72B-Instruct","name":"Qwen2.5-72B-Instruct","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true,"reasoning":true,"structured_output":true,"batch":true,"json_mode":true},"model_type":"chat","parameters":73,"page_url":"https://huggingface.co/Qwen/Qwen2.5-72B-Instruct","release_date":"2024-09-16","context_window":32768,"license":"other","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Qwen2.5 is part of the Qwen Large Language Model (LLM) series. 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[Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt) ## International If you select the [International](https://www.alibabacloud.com/help/en/document_detail/3004398.html#080da663a75xh) deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.","tagline":"Qwen2.5 is a large language model series from Qwen."},{"id":"Qwen/Qwen2.5-7B-Instruct-1M","name":"Qwen2.5-7B-Instruct-1M","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true,"reasoning":true,"structured_output":true,"batch":true,"json_mode":true},"model_type":"chat","parameters":7.6,"page_url":"https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M","release_date":"2025-01-23","context_window":1010000,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Qwen2.5 is part of the Qwen Large Language Model (LLM) series. We released a series of base language models and instruction-tuned language models with parameter scales ranging from 7 billion to 72 billion. 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[Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt) ## International If you select the [International](https://www.alibabacloud.com/help/en/document_detail/3004398.html#080da663a75xh) deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.","tagline":"Qwen2.5 is a large language model series from Qwen."},{"id":"Qwen/Qwen2.5-7B-Instruct","name":"Qwen2.5-7B-Instruct","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true,"reasoning":true,"structured_output":true,"batch":true,"json_mode":true},"model_type":"chat","parameters":7.6,"page_url":"https://huggingface.co/Qwen/Qwen2.5-7B-Instruct","release_date":"2024-09-16","context_window":32768,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Qwen2.5 is part of the Qwen Large Language Model (LLM) series. We released a series of base language models and instruction-tuned language models with parameter scales ranging from 7 billion to 72 billion. Qwen2.5 improves upon Qwen2 in the following ways: * Pre-trained on our latest large-scale dataset containing up to 18 trillion tokens. * Significantly expanded knowledge and greatly enhanced coding and math capabilities due to our domain-expert models. * Major improvements in instruction following, long-text generation (over 8K tokens), structured data understanding (such as tables), and structured output generation (especially JSON). More resilient to diverse system prompts, enhancing chatbot role-playing and conditional setup. * Supports over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, and Arabic. [Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt) ## International If you select the [International](https://www.alibabacloud.com/help/en/document_detail/3004398.html#080da663a75xh) deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.","tagline":"Qwen2.5 is a large language model series from 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[!Warning] >
](https://discord.gg/u54VK8m8tk) [](https://ko-fi.com/unsloth) [](https://github.com/unslothai/unsloth)","release_date":"2024-02-14","context_window":2048,"license":"apache-2.0","parameters":1.1,"tagline":"[](https://discord.gg/u54VK8m8tk) [](https://dicta.org.il)","release_date":"2025-12-01","context_window":62080,"license":"apache-2.0","page_url":"https://huggingface.co/dicta-il/DictaLM-3.0-1.7B-Instruct","architecture":"transformer","tagline":"[](https://dicta.org.il)","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-06-10"},{"id":"dphn/Dolphin-Mistral-24B-Venice-Edition","name":"Dolphin-Mistral-24B-Venice-Edition","created_by":"dphn","source":"official","description":"Website: https://dphn.ai Twitter: https://x.com/dphnAI Web Chat: https://chat.dphn.ai Telegram bot: https://t.me/DolphinAI_bot","release_date":"2025-06-12","context_window":32768,"license":"apache-2.0","parameters":24,"page_url":"https://huggingface.co/dphn/Dolphin-Mistral-24B-Venice-Edition","architecture":"transformer","tagline":"Website: https://dphn.ai Twitter: https://x.com/dphnAI Web Chat: https://chat.dphn.ai Telegram bot: https://t.me/DolphinAI_bot","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-04-07"},{"id":"Efficient-Large-Model/gemma-2-2b-it","name":"gemma-2-2b-it","created_by":"efficient-large-model","source":"official","last_updated":"2026-03-24","family":"gemma-2","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":2.6,"page_url":"https://huggingface.co/Efficient-Large-Model/gemma-2-2b-it","description":"**Model Page**: [Gemma](https://ai.google.dev/gemma/docs/base)","release_date":"2024-12-12","context_window":8192,"license":"gemma","tagline":"**Model Page**: [Gemma](https://ai.google.dev/gemma/docs/base)","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"EssentialAI/rnj-1-instruct","name":"rnj-1-instruct","created_by":"essentialai","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"page_url":"https://huggingface.co/EssentialAI/rnj-1-instruct","description":"Rnj-1 is a family of 8B parameter open-weight, dense models trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models. These models perform well across a range of programming languages and boast strong agentic capabilities (e.g., inside agentic frameworks like mini-SWE-agent), while also excelling at tool-calling. They additionally exhibit strong capabilities in math and science.","release_date":"2025-12-04","context_window":32768,"license":"apache-2.0","parameters":8.3,"tagline":"style=\"vertical-align: middle;\" src=\"https://img.shields.io/badge/%F0%9F%8C%90%20Website-essential.ai-4b9fe1?color=4b9fe1&logoColor=white\"/>","architecture":"transformer","open_weight":true,"tools":["function_calling"],"model_type":"chat","modalities":{"input":["text"],"output":["text"]}},{"id":"failspy/llama-3-70B-Instruct-abliterated","name":"llama-3-70B-Instruct-abliterated","created_by":"failspy","source":"official","family":"llama-3","description":"This is meta-llama/Llama-3-70B-Instruct with orthogonalized bfloat16 safetensor weights, generated with the methodology that was described in the preview paper/blog post: '[Refusal in LLMs is mediated by a single direction](https://www.alignmentforum.org/posts/jGuXSZgv6qfdhMCuJ/refusal-in-llms-is-mediated-by-a-single-direction)' which I encourage you to read to understand more.","release_date":"2024-05-07","context_window":8192,"license":"llama3","page_url":"https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated","architecture":"transformer","model_type":"chat","tagline":"This is meta-llama/Llama-3-70B-Instruct with orthogonalized bfloat16 safetensor weights, generated with the methodology that was described in the preview paper/blog post: '[Refusal in LLMs is mediated","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-04-07"},{"id":"failspy/Meta-Llama-3-8B-Instruct-abliterated-v3","name":"Meta-Llama-3-8B-Instruct-abliterated-v3","created_by":"failspy","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"Llama-3","model_type":"chat","parameters":8,"page_url":"https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3","description":"[My Jupyter \"cookbook\" to replicate the methodology can be found here, refined library coming soon](https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated/blob/main/ortho_cookbook.ipynb)","release_date":"2024-05-20","context_window":8192,"license":"llama3","tagline":"[My Jupyter \"cookbook\" to replicate the methodology can be found here, refined library coming soon](https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated/blob/main/ortho_cookbook.ipynb)","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"farbodtavakkoli/OTel-LLM-0.6B-IT","name":"OTel-LLM-0.6B-IT","created_by":"farbodtavakkoli","source":"official","description":"**OTel-LLM-0.6B-IT** is a telecom-specialized language model fine-tuned on telecommunications domain data. It is part of the [OTel Family of Models](https://huggingface.co/collections/farbodtavakkoli/otel-llm), an open-source initiative to build industry-standard AI models for the global telecommunications sector.","release_date":"2026-02-11","context_window":40960,"license":"apache-2.0","page_url":"https://huggingface.co/farbodtavakkoli/OTel-LLM-0.6B-IT","architecture":"transformer","tagline":"**OTel-LLM-0.6B-IT** is a telecom-specialized language model fine-tuned on telecommunications domain data.","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-04-17"},{"id":"farbodtavakkoli/OTel-LLM-1.2B-IT","name":"OTel-LLM-1.2B-IT","created_by":"farbodtavakkoli","source":"official","description":"**OTel-LLM-1.2B-IT** is a telecom-specialized language model fine-tuned on telecommunications domain data. It is part of the [OTel Family of Models](https://huggingface.co/collections/farbodtavakkoli/otel-llm), an open-source initiative to build industry-standard AI models for the global telecommunications sector.","release_date":"2026-03-10","context_window":128000,"license":"apache-2.0","page_url":"https://huggingface.co/farbodtavakkoli/OTel-LLM-1.2B-IT","architecture":"transformer","tagline":"**OTel-LLM-1.2B-IT** is a telecom-specialized language model fine-tuned on telecommunications domain data.","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-04-17"},{"id":"farbodtavakkoli/OTel-LLM-1.7B-IT","name":"OTel-LLM-1.7B-IT","created_by":"farbodtavakkoli","source":"official","description":"**OTel-LLM-1.7B-IT** is a telecom-specialized language model fine-tuned on telecommunications domain data. It is part of the [OTel Family of Models](https://huggingface.co/collections/farbodtavakkoli/otel-llm), an open-source initiative to build industry-standard AI models for the global telecommunications sector.","release_date":"2026-02-11","context_window":40960,"license":"apache-2.0","page_url":"https://huggingface.co/farbodtavakkoli/OTel-LLM-1.7B-IT","architecture":"transformer","tagline":"**OTel-LLM-1.7B-IT** is a telecom-specialized language model fine-tuned on telecommunications domain data.","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-04-17"},{"id":"farbodtavakkoli/OTel-LLM-12B-IT","name":"OTel-LLM-12B-IT","created_by":"farbodtavakkoli","source":"official","description":"**OTel-LLM-12B-IT** is a telecom-specialized language model fine-tuned on telecommunications domain data. 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With these models, you can classify text content based on safety policies that you provide and perform a suite of foundational safety tasks. These models are intended for safety use cases. For other applications, we recommend using [gpt-oss models](https://huggingface.co/collections/openai/gpt-oss).","release_date":"2025-09-18","context_window":131072,"license":"apache-2.0","tagline":"`gpt-oss-safeguard-120b` and `gpt-oss-safeguard-20b` are safety reasoning models built-upon gpt-oss.","architecture":"moe","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"openchat/openchat-3.6-8b-20240522","name":"openchat-3.6-8b-20240522","created_by":"openchat","source":"official","last_updated":"2026-03-24","alias":"openchat/openchat-3.6-8b","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"parameters":8,"page_url":"https://huggingface.co/openchat/openchat-3.6-8b-20240522","description":"To use this model, we highly recommend installing the OpenChat package by following the [installation guide](https://github.com/imoneoi/openchat#installation) in our repository and using the OpenChat OpenAI-compatible API server by running the serving command from the table below. The server is optimized for high-throughput deployment using [vLLM](https://github.com/vllm-project/vllm) and can run on a consumer GPU with 24GB RAM.","release_date":"2024-05-07","context_window":8192,"license":"llama3","tagline":"To use this model, we highly recommend installing the OpenChat package by following the [installation guide](https://github.com/imoneoi/openchat#installation) in our repository and using the OpenChat OpenAI-compatible API server by running the serving command from the table below.","architecture":"transformer","open_weight":true,"tools":["function_calling"]},{"id":"openchat/openchat-3.6-8b","name":"openchat-3.6-8b-20240522","created_by":"openchat","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"snapshots":["openchat/openchat-3.6-8b-20240522"],"parameters":8,"page_url":"https://huggingface.co/openchat/openchat-3.6-8b-20240522","description":"To use this model, we highly recommend installing the OpenChat package by following the [installation guide](https://github.com/imoneoi/openchat#installation) in our repository and using the OpenChat OpenAI-compatible API server by running the serving command from the table below. The server is optimized for high-throughput deployment using [vLLM](https://github.com/vllm-project/vllm) and can run on a consumer GPU with 24GB RAM.","release_date":"2024-05-07","context_window":8192,"license":"llama3","tagline":"To use this model, we highly recommend installing the OpenChat package by following the [installation guide](https://github.com/imoneoi/openchat#installation) in our repository and using the OpenChat OpenAI-compatible API server by running the serving command from the table below.","architecture":"transformer","open_weight":true,"tools":["function_calling"]},{"id":"openchat/openchat_3.5","name":"openchat_3.5","created_by":"openchat","source":"official","description":"**🔥 The first 7B model Achieves Comparable Results with ChatGPT (March)! 🔥**","release_date":"2023-10-30","context_window":8192,"license":"apache-2.0","page_url":"https://huggingface.co/openchat/openchat_3.5","architecture":"transformer","tagline":"**🔥 The first 7B model Achieves Comparable Results with ChatGPT (March)! 🔥**","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"OpenPipe/Qwen3-14B-Instruct","name":"Qwen3-14B-Instruct","created_by":"openpipe","source":"official","release_date":"2025-10-10","context_window":40960,"license":"apache-2.0","parameters":15,"page_url":"https://huggingface.co/OpenPipe/Qwen3-14B-Instruct","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"Orion-zhen/Qwen2.5-7B-Instruct-Uncensored","name":"Qwen2.5-7B-Instruct-Uncensored","created_by":"orion-zhen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":7.6,"page_url":"https://huggingface.co/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored","description":"This model is an uncensored fine-tune version of Qwen2.5-7B-Instruct. However, I can still notice that though uncensored, the model fails to generate detailed descriptions on certain extreme scenarios, which might be associated with deletion on some pretrain datasets in Qwen's pretraining stage.","release_date":"2024-09-26","context_window":32768,"license":"gpl-3.0","tagline":"This model is an uncensored fine-tune version of Qwen2.5-7B-Instruct.","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"PatronusAI/Llama-3-Patronus-Lynx-8B-Instruct-v1.1","name":"Llama-3-Patronus-Lynx-8B-Instruct-v1.1","created_by":"patronusai","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"Llama-3","model_type":"chat","parameters":8,"page_url":"https://huggingface.co/PatronusAI/Llama-3-Patronus-Lynx-8B-Instruct-v1.1","description":"Lynx is an open-source hallucination evaluation model. Patronus-Lynx-8B-Instruct-v1.1 was trained on a mix of datasets including CovidQA, PubmedQA, DROP, RAGTruth. The datasets contain a mix of hand-annotated and synthetic data. The maximum sequence length is 128000 tokens.","release_date":"2024-07-24","context_window":131072,"license":"cc-by-nc-4.0","tagline":"Lynx is an open-source hallucination evaluation model.","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"prefeitura-rio/Rio-3.0-Open-Mini","name":"Rio-3.0-Open-Mini","created_by":"prefeitura-rio","source":"official","description":"**Rio 3.0 Open Mini** is a frontier-class reasoning model developed by [IplanRIO](https://iplanrio.rio.rj.gov.br/), the municipal IT company of Rio de Janeiro's city government. Built through distillation on top of Qwen3-4B-Thinking-2507 using reasoning traces from our to be announced Rio 3.0 model, Rio 3.0 Open achieves state-of-the-art results across mathematics, STEM, and code benchmarks — surpassing its base model by significant margins and competing with models far larger than itself.","release_date":"2026-02-09","context_window":262144,"license":"mit","parameters":4,"page_url":"https://huggingface.co/prefeitura-rio/Rio-3.0-Open-Mini","architecture":"transformer","tagline":"**Rio 3.0 Open Mini** is a frontier-class reasoning model developed by [IplanRIO](https://iplanrio.rio.rj.gov.br/), the municipal IT company of Rio de Janeiro's city government.","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"Qwen/Qwen1.5-0.5B-Chat","name":"Qwen1.5-0.5B-Chat","created_by":"qwen","source":"official","release_date":"2024-01-31","context_window":32768,"license":"other","parameters":0.62,"page_url":"https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"Qwen/Qwen1.5-1.8B-Chat","name":"Qwen1.5-1.8B-Chat","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":1.8,"page_url":"https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat","release_date":"2024-01-30","context_window":32768,"license":"other","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"Qwen/Qwen2-0.5B-Instruct","name":"Qwen2-0.5B-Instruct","created_by":"qwen","source":"official","release_date":"2024-06-03","context_window":32768,"license":"apache-2.0","parameters":0.49,"page_url":"https://huggingface.co/Qwen/Qwen2-0.5B-Instruct","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"Qwen/Qwen2-1.5B-Instruct","name":"Qwen2-1.5B-Instruct","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":1.5,"page_url":"https://huggingface.co/Qwen/Qwen2-1.5B-Instruct","release_date":"2024-06-03","context_window":32768,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"Qwen/Qwen2-72B-Instruct","name":"Qwen2-72B-Instruct","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":73,"page_url":"https://huggingface.co/Qwen/Qwen2-72B-Instruct","release_date":"2024-05-28","context_window":32768,"license":"other","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Alibaba Cloud's Qwen2 open-source version. [Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt)","tagline":"The Qwen2 open-source model from Alibaba Cloud.","max_output_tokens":6144},{"id":"Qwen/Qwen2-7B-Instruct","name":"Qwen2-7B-Instruct","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":7.6,"page_url":"https://huggingface.co/Qwen/Qwen2-7B-Instruct","release_date":"2024-06-04","context_window":32768,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Alibaba Cloud's Qwen2 open-source version. [Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt)","tagline":"The Qwen2 open-source model from Alibaba Cloud."},{"id":"Qwen/Qwen2.5-0.5B-Instruct","name":"Qwen2.5-0.5B-Instruct","created_by":"qwen","source":"official","release_date":"2024-09-16","context_window":32768,"license":"apache-2.0","parameters":0.49,"page_url":"https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"Qwen/Qwen2.5-1.5B-Instruct","name":"Qwen2.5-1.5B-Instruct","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":1.5,"page_url":"https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct","release_date":"2024-09-17","context_window":32768,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"Qwen/Qwen2.5-14B-Instruct-1M","name":"Qwen2.5-14B-Instruct-1M","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true,"reasoning":true,"structured_output":true,"batch":true,"json_mode":true},"model_type":"chat","parameters":15,"page_url":"https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M","release_date":"2025-01-23","context_window":1010000,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Qwen2.5 is part of the Qwen Large Language Model (LLM) series. We released a series of base language models and instruction-tuned language models with parameter scales ranging from 7 billion to 72 billion. Qwen2.5 improves upon Qwen2 in the following ways: * Pre-trained on our latest large-scale dataset containing up to 18 trillion tokens. * Significantly expanded knowledge and greatly enhanced coding and math capabilities due to our domain-expert models. * Major improvements in instruction following, long-text generation (over 8K tokens), structured data understanding (such as tables), and structured output generation (especially JSON). More resilient to diverse system prompts, enhancing chatbot role-playing and conditional setup. * Supports over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, and Arabic. [Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt) ## International If you select the [International](https://www.alibabacloud.com/help/en/document_detail/3004398.html#080da663a75xh) deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.","tagline":"Qwen2.5 is a large language model series from Qwen.","max_output_tokens":8192},{"id":"Qwen/Qwen2.5-14B-Instruct","name":"Qwen2.5-14B-Instruct","created_by":"qwen","source":"official","last_updated":"2026-05-23","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true,"reasoning":true,"structured_output":true,"batch":true,"json_mode":true},"model_type":"chat","parameters":15,"page_url":"https://huggingface.co/Qwen/Qwen2.5-14B-Instruct","release_date":"2024-09-16","context_window":32768,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Qwen2.5 is part of the Qwen Large Language Model (LLM) series. We released a series of base language models and instruction-tuned language models with parameter scales ranging from 7 billion to 72 billion. 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[Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt) ## International If you select the [International](https://www.alibabacloud.com/help/en/document_detail/3004398.html#080da663a75xh) deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.","tagline":"Qwen2.5 is a large language model series from Qwen."},{"id":"Qwen/Qwen2.5-32B-Instruct","name":"Qwen2.5-32B-Instruct","created_by":"qwen","source":"official","last_updated":"2026-05-23","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true,"reasoning":true,"structured_output":true,"batch":true,"json_mode":true},"model_type":"chat","parameters":33,"page_url":"https://huggingface.co/Qwen/Qwen2.5-32B-Instruct","release_date":"2024-09-17","context_window":32768,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Qwen2.5 is part of the Qwen Large Language Model (LLM) series. We released a series of base language models and instruction-tuned language models with parameter scales ranging from 7 billion to 72 billion. 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[Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt) ## International If you select the [International](https://www.alibabacloud.com/help/en/document_detail/3004398.html#080da663a75xh) deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.","tagline":"Qwen2.5 is a large language model series from Qwen."},{"id":"Qwen/Qwen2.5-3B-Instruct","name":"Qwen2.5-3B-Instruct","created_by":"qwen","source":"official","release_date":"2024-09-17","context_window":32768,"license":"other","parameters":3.1,"page_url":"https://huggingface.co/Qwen/Qwen2.5-3B-Instruct","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"Qwen/Qwen2.5-72B-Instruct","name":"Qwen2.5-72B-Instruct","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true,"reasoning":true,"structured_output":true,"batch":true,"json_mode":true},"model_type":"chat","parameters":73,"page_url":"https://huggingface.co/Qwen/Qwen2.5-72B-Instruct","release_date":"2024-09-16","context_window":32768,"license":"other","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Qwen2.5 is part of the Qwen Large Language Model (LLM) series. We released a series of base language models and instruction-tuned language models with parameter scales ranging from 7 billion to 72 billion. Qwen2.5 improves upon Qwen2 in the following ways: * Pre-trained on our latest large-scale dataset containing up to 18 trillion tokens. * Significantly expanded knowledge and greatly enhanced coding and math capabilities due to our domain-expert models. * Major improvements in instruction following, long-text generation (over 8K tokens), structured data understanding (such as tables), and structured output generation (especially JSON). More resilient to diverse system prompts, enhancing chatbot role-playing and conditional setup. * Supports over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, and Arabic. [Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt) ## International If you select the [International](https://www.alibabacloud.com/help/en/document_detail/3004398.html#080da663a75xh) deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.","tagline":"Qwen2.5 is a large language model series from Qwen."},{"id":"Qwen/Qwen2.5-7B-Instruct-1M","name":"Qwen2.5-7B-Instruct-1M","created_by":"qwen","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true,"reasoning":true,"structured_output":true,"batch":true,"json_mode":true},"model_type":"chat","parameters":7.6,"page_url":"https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M","release_date":"2025-01-23","context_window":1010000,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"description":"Qwen2.5 is part of the Qwen Large Language Model (LLM) series. We released a series of base language models and instruction-tuned language models with parameter scales ranging from 7 billion to 72 billion. 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[Usage](https://www.alibabacloud.com/help/en/document_detail/2841718.html#24e54b27d4agt) \\| [API reference](https://www.alibabacloud.com/help/en/document_detail/2712576.html) \\| [Try online](https://modelstudio.console.alibabacloud.com/?tab=playground#/efm/prompt) ## International If you select the [International](https://www.alibabacloud.com/help/en/document_detail/3004398.html#080da663a75xh) deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. 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Also a [Qwen 2.5 conversational style notebook](https://colab.research.google.com/drive/1qN1CEalC70EO1wGKhNxs1go1W9So61R5?usp=sharing).","release_date":"2024-09-23","context_window":32768,"license":"apache-2.0","tagline":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"unsloth/Qwen2.5-32B-Instruct","name":"Qwen2.5-32B-Instruct","created_by":"unsloth","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":33,"page_url":"https://huggingface.co/unsloth/Qwen2.5-32B-Instruct","description":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing). Also a [Qwen 2.5 conversational style notebook](https://colab.research.google.com/drive/1qN1CEalC70EO1wGKhNxs1go1W9So61R5?usp=sharing).","release_date":"2024-09-23","context_window":32768,"license":"apache-2.0","tagline":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"unsloth/Qwen2.5-3B-Instruct","name":"Qwen2.5-3B-Instruct","created_by":"unsloth","source":"official","description":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing). Also a [Qwen 2.5 conversational style notebook](https://colab.research.google.com/drive/1qN1CEalC70EO1wGKhNxs1go1W9So61R5?usp=sharing).","release_date":"2024-09-18","context_window":32768,"license":"other","parameters":3.1,"page_url":"https://huggingface.co/unsloth/Qwen2.5-3B-Instruct","architecture":"transformer","model_type":"chat","tagline":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"unsloth/Qwen2.5-7B-Instruct","name":"Qwen2.5-7B-Instruct","created_by":"unsloth","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":7.6,"page_url":"https://huggingface.co/unsloth/Qwen2.5-7B-Instruct","description":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing). Also a [Qwen 2.5 conversational style notebook](https://colab.research.google.com/drive/1qN1CEalC70EO1wGKhNxs1go1W9So61R5?usp=sharing).","release_date":"2024-09-18","context_window":32768,"license":"apache-2.0","tagline":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"unsloth/Qwen2.5-Coder-32B-Instruct","name":"Qwen2.5-Coder-32B-Instruct","created_by":"unsloth","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"code","parameters":33,"page_url":"https://huggingface.co/unsloth/Qwen2.5-Coder-32B-Instruct","description":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing). Also a [Qwen 2.5 conversational style notebook](https://colab.research.google.com/drive/1qN1CEalC70EO1wGKhNxs1go1W9So61R5?usp=sharing).","release_date":"2024-11-12","context_window":32768,"license":"apache-2.0","tagline":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"unsloth/Qwen2.5-Coder-7B-Instruct","name":"Qwen2.5-Coder-7B-Instruct","created_by":"unsloth","source":"official","description":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing). Also a [Qwen 2.5 conversational style notebook](https://colab.research.google.com/drive/1qN1CEalC70EO1wGKhNxs1go1W9So61R5?usp=sharing).","release_date":"2024-09-23","context_window":32768,"license":"apache-2.0","parameters":7.6,"page_url":"https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct","architecture":"transformer","model_type":"code","tagline":"We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-04-16"},{"id":"unsloth/Qwen3-1.7B-Base","name":"Qwen3-1.7B-Base","created_by":"unsloth","source":"official","release_date":"2025-04-28","context_window":32768,"license":"apache-2.0","page_url":"https://huggingface.co/unsloth/Qwen3-1.7B-Base","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"last_updated":"2026-05-17"},{"id":"unsloth/Qwen3-4B-Base","name":"Qwen3-4B-Base","created_by":"unsloth","source":"official","release_date":"2025-04-28","context_window":32768,"license":"apache-2.0","page_url":"https://huggingface.co/unsloth/Qwen3-4B-Base","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"last_updated":"2026-06-02"},{"id":"unsloth/Qwen3-4B-Instruct-2507","name":"Qwen3-4B-Instruct-2507","created_by":"unsloth","source":"official","release_date":"2025-08-06","context_window":262144,"model_type":"chat","license":"apache-2.0","alias":"unsloth/Qwen3-4B-Instruct","page_url":"https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507","architecture":"transformer","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"modalities":{"input":["text"],"output":["text"]},"open_weight":true,"tools":["function_calling"],"last_updated":"2026-05-01"},{"id":"unsloth/Qwen3-4B-Instruct","name":"Qwen3-4B-Instruct-2507","created_by":"unsloth","source":"official","release_date":"2025-08-06","context_window":262144,"license":"apache-2.0","page_url":"https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"snapshots":["unsloth/Qwen3-4B-Instruct-2507"],"last_updated":"2026-05-01"},{"id":"unsloth/Qwen3-8B-Base","name":"Qwen3-8B-Base","created_by":"unsloth","source":"official","release_date":"2025-04-28","context_window":32768,"license":"apache-2.0","page_url":"https://huggingface.co/unsloth/Qwen3-8B-Base","architecture":"transformer","model_type":"chat","capabilities":{"streaming":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"last_updated":"2026-03-26"},{"id":"unsloth/Qwen3-8B","name":"Qwen3-8B","created_by":"unsloth","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"model_type":"chat","parameters":8,"page_url":"https://huggingface.co/unsloth/Qwen3-8B","release_date":"2025-04-28","context_window":40960,"license":"apache-2.0","architecture":"transformer","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"unsloth/tinyllama-chat","name":"tinyllama-chat","created_by":"unsloth","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"page_url":"https://huggingface.co/unsloth/tinyllama-chat","description":"[](https://discord.gg/u54VK8m8tk) [](https://ko-fi.com/unsloth) [](https://github.com/unslothai/unsloth)","release_date":"2024-02-14","context_window":2048,"license":"apache-2.0","parameters":1.1,"tagline":"[](https://discord.gg/u54VK8m8tk) [Discord community.","release_date":"2025-07-20","context_window":131072,"license":"mit","tagline":"👋 Join our Discord community.","architecture":"moe","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"zai-org/GLM-4.5-Air","name":"GLM-4.5-Air","created_by":"zhipu","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"GLM-4.5","model_type":"chat","page_url":"https://huggingface.co/zai-org/GLM-4.5-Air","description":"👋 Join our Discord community.","release_date":"2025-07-20","context_window":131072,"license":"mit","parameters":110,"tagline":"👋 Join our Discord community.","architecture":"moe","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"zai-org/GLM-4.5","name":"GLM-4.5","created_by":"zhipu","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"GLM-4.5","model_type":"chat","page_url":"https://huggingface.co/zai-org/GLM-4.5","description":"👋 Join our Discord community.","release_date":"2025-07-20","context_window":131072,"license":"mit","parameters":358,"tagline":"👋 Join our Discord community.","architecture":"moe","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"zai-org/GLM-4.6-FP8","name":"GLM-4.6-FP8","created_by":"zhipu","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"GLM-4.6","model_type":"chat","page_url":"https://huggingface.co/zai-org/GLM-4.6-FP8","description":"👋 Join our Discord community.","release_date":"2025-09-29","context_window":202752,"license":"mit","tagline":"👋 Join our Discord community.","architecture":"moe","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"zai-org/GLM-4.6","name":"GLM-4.6","created_by":"zhipu","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"GLM-4.6","model_type":"chat","page_url":"https://huggingface.co/zai-org/GLM-4.6","description":"👋 Join our Discord community.","release_date":"2025-09-29","context_window":202752,"license":"mit","parameters":357,"tagline":"👋 Join our Discord community.","architecture":"moe","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"zai-org/GLM-4.7-Flash","name":"GLM-4.7-Flash","created_by":"zhipu","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"GLM-4.7","model_type":"chat","page_url":"https://huggingface.co/zai-org/GLM-4.7-Flash","description":"👋 Join our Discord community.","release_date":"2026-01-19","context_window":202752,"license":"mit","parameters":31,"tagline":"👋 Join our Discord community.","architecture":"moe","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"zai-org/GLM-4.7-FP8","name":"GLM-4.7-FP8","created_by":"zhipu","source":"official","last_updated":"2026-05-29","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"GLM-4.7","model_type":"chat","page_url":"https://huggingface.co/zai-org/GLM-4.7-FP8","description":"👋 Join our Discord community.","release_date":"2025-12-22","context_window":202752,"license":"mit","tagline":"👋 Join our Discord community.","architecture":"moe","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]},"parameters":358},{"id":"zai-org/GLM-4.7","name":"GLM-4.7","created_by":"zhipu","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"GLM-4.7","model_type":"chat","page_url":"https://huggingface.co/zai-org/GLM-4.7","description":"👋 Join our Discord community.","release_date":"2025-12-22","context_window":202752,"license":"mit","parameters":358,"tagline":"👋 Join our Discord community.","architecture":"moe","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"zai-org/GLM-5.1-FP8","name":"GLM-5.1-FP8","created_by":"zhipu","source":"official","family":"GLM-5.1","release_date":"2026-04-03","context_window":202752,"license":"mit","parameters":754,"page_url":"https://huggingface.co/zai-org/GLM-5.1-FP8","architecture":"moe","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-04-10"},{"id":"zai-org/GLM-5.1","name":"GLM-5.1","created_by":"zhipu","source":"official","family":"GLM-5.1","release_date":"2026-04-03","context_window":202752,"license":"mit","parameters":754,"page_url":"https://huggingface.co/zai-org/GLM-5.1","architecture":"moe","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-04-12"},{"id":"zai-org/GLM-5.2-FP8","name":"GLM-5.2-FP8","created_by":"zhipu","source":"official","family":"GLM-5.2","release_date":"2026-06-16","context_window":1048576,"license":"mit","parameters":753,"page_url":"https://huggingface.co/zai-org/GLM-5.2-FP8","architecture":"moe","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-06-20"},{"id":"zai-org/GLM-5.2","name":"GLM-5.2","created_by":"zhipu","source":"official","family":"GLM-5.2","release_date":"2026-06-16","context_window":1048576,"license":"mit","parameters":753,"page_url":"https://huggingface.co/zai-org/GLM-5.2","architecture":"moe","model_type":"chat","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"open_weight":true,"modalities":{"input":["text"],"output":["text"]},"tools":["function_calling"],"last_updated":"2026-06-29"},{"id":"zai-org/GLM-5","name":"GLM-5","created_by":"zhipu","source":"official","last_updated":"2026-03-24","capabilities":{"streaming":true,"tool_call":true,"fine_tuning":true},"family":"GLM-5","model_type":"chat","page_url":"https://huggingface.co/zai-org/GLM-5","description":"👋 Join our WeChat or Discord community.","release_date":"2026-02-11","context_window":202752,"license":"mit","parameters":754,"tagline":"👋 Join our WeChat or Discord","architecture":"moe","open_weight":true,"tools":["function_calling"],"modalities":{"input":["text"],"output":["text"]}},{"id":"zai-org/GLM-Z1-32B-0414","name":"GLM-Z1-32B-0414","created_by":"zhipu","source":"official","last_updated":"2026-03-21","capabilities":{"streaming":true},"model_type":"chat","family":"glm","parameters":32}]};
export const models: Model[] = provider.models.map((m) => ({ ...m, provider: provider.id }));
diff --git a/packages/npm/src/providers/openrouter.ts b/packages/npm/src/providers/openrouter.ts
index ed37ed98d..385623786 100644
--- a/packages/npm/src/providers/openrouter.ts
+++ b/packages/npm/src/providers/openrouter.ts
@@ -3,6 +3,6 @@
import type { ProviderWithModels, Model } from '../types';
-export const provider: ProviderWithModels = {"id":"openrouter","name":"OpenRouter","region":"US","headquarters":"New York, NY","founded":2023,"url":"https://openrouter.ai","api_url":"https://openrouter.ai/api/v1","docs_url":"https://openrouter.ai/docs","pricing_url":"https://openrouter.ai/models","description":"Unified API gateway providing access to 200+ models from multiple providers with standardized pricing.","type":"aggregator","playground_url":"https://openrouter.ai/playground","status_url":"https://status.openrouter.ai","openai_compatible":true,"free_tier":true,"github_url":"https://github.com/OpenRouterTeam","models_url":"https://openrouter.ai/models","twitter_url":"https://x.com/OpenRouterAI","discord_url":"https://discord.com/invite/openrouter","terms_url":"https://openrouter.ai/terms","support_url":"https://openrouter.ai/support","icon":"","models":[{"id":"~anthropic/claude-fable-latest","name":"Anthropic: Claude Fable Latest","created_by":"~anthropic","source":"official","family":"claude-fable","description":"This model always redirects to the latest model in the Claude Fable family.","release_date":"2026-06-09","context_window":1000000,"max_output_tokens":128000,"model_type":"chat","tagline":"This model always redirects to the latest model in the Claude Fable family.","capabilities":{"tool_call":true,"structured_output":true,"reasoning":true,"json_mode":true},"modalities":{"input":["text","image"],"output":["text"]},"pricing":{"input":10,"output":50,"cached_input":1},"tools":["function_calling"],"last_updated":"2026-06-18"},{"id":"~anthropic/claude-haiku-latest","name":"Anthropic Claude Haiku Latest","created_by":"~anthropic","source":"official","family":"claude-haiku","description":"This model always redirects to the latest model in the Anthropic Claude Haiku family.","release_date":"2026-04-27","context_window":200000,"max_output_tokens":64000,"model_type":"chat","tagline":"This model always redirects to the latest model in the Anthropic Claude Haiku family.","capabilities":{"tool_call":true,"structured_output":true,"reasoning":true,"json_mode":true},"modalities":{"input":["text","image"],"output":["text"]},"pricing":{"input":1,"output":5,"cached_input":0.1},"tools":["function_calling"],"last_updated":"2026-05-14"},{"id":"~anthropic/claude-opus-latest","name":"Anthropic: Claude Opus Latest","created_by":"~anthropic","source":"official","family":"claude-opus","description":"This model always redirects to the latest model in the Claude Opus family.","release_date":"2026-04-21","context_window":1000000,"max_output_tokens":128000,"model_type":"chat","tagline":"This model always redirects to the latest model in the Claude Opus family.","capabilities":{"tool_call":true,"structured_output":true,"reasoning":true,"json_mode":true},"modalities":{"input":["text","image"],"output":["text"]},"pricing":{"input":5,"output":25,"cached_input":0.5},"tools":["function_calling"],"last_updated":"2026-04-22"},{"id":"~anthropic/claude-sonnet-latest","name":"Anthropic Claude Sonnet Latest","created_by":"~anthropic","source":"official","family":"claude-sonnet","description":"This model always redirects to the latest model in the Anthropic Claude Sonnet family.","release_date":"2026-04-27","context_window":1000000,"max_output_tokens":128000,"model_type":"chat","tagline":"This model always redirects to the latest model in the Anthropic Claude Sonnet 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efficiency.","context_window":256000,"max_output_tokens":4096,"modalities":{"input":["text"],"output":["text"]},"capabilities":{"tool_call":true,"structured_output":true,"json_mode":true},"pricing":{"input":2,"output":8},"model_type":"chat","release_date":"2025-08-08","tagline":"Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency.","tools":["function_calling"]},{"id":"aion-labs/aion-1.0-mini","name":"AionLabs: Aion-1.0-Mini","created_by":"aion-labs","source":"official","last_updated":"2026-03-23","description":"Aion-1.0-Mini 32B parameter model is a distilled version of the DeepSeek-R1 model, designed for strong performance in reasoning domains such as mathematics, coding, and 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coding."},{"id":"aion-labs/aion-2.0","name":"AionLabs: Aion-2.0","created_by":"aion-labs","source":"official","last_updated":"2026-03-23","description":"Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling.","context_window":131072,"max_output_tokens":32768,"modalities":{"input":["text"],"output":["text"]},"capabilities":{"reasoning":true},"pricing":{"input":0.8,"output":1.6,"cached_input":0.2},"release_date":"2026-02-23","tagline":"Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling."},{"id":"aion-labs/aion-rp-llama-3.1-8b","name":"AionLabs: Aion-RP 1.0 (8B)","created_by":"aion-labs","source":"official","last_updated":"2026-03-23","description":"Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s 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parameters Code LLaMA - Instruct model to generate Solidity smart contract using 4-bit QLoRA finetuning provided by PEFT library."},{"id":"alibaba/tongyi-deepresearch-30b-a3b","name":"Tongyi DeepResearch 30B A3B","created_by":"alibaba","source":"official","last_updated":"2026-03-24","description":"Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activating only 3 billion per token.","context_window":131072,"max_output_tokens":131072,"modalities":{"input":["text"],"output":["text"]},"capabilities":{"tool_call":true,"structured_output":true,"reasoning":true,"json_mode":true},"pricing":{"input":0.09,"output":0.45,"cached_input":0.09},"model_type":"chat","parameters":30,"active_parameters":3,"release_date":"2025-09-18","tagline":"Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activating only 3 billion per 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instruction-following scenarios."},{"id":"allenai/olmo-3-7b-instruct","name":"AllenAI: Olmo 3 7B Instruct","created_by":"allenai","source":"official","last_updated":"2026-03-21","description":"Olmo 3 7B Instruct is a supervised instruction-fine-tuned variant of the Olmo 3 7B base model, optimized for instruction-following, question-answering, and natural conversational dialogue.","status":"deprecated","deprecation_date":"2026-03-23","context_window":65536,"max_output_tokens":65536,"modalities":{"input":["text"],"output":["text"]},"capabilities":{"structured_output":true,"json_mode":true},"pricing":{"input":0.1,"output":0.2},"parameters":7},{"id":"allenai/olmo-3-7b-think","name":"AllenAI: Olmo 3 7B Think","created_by":"allenai","source":"official","last_updated":"2026-03-21","description":"Olmo 3 7B Think is a research-oriented language model in the Olmo family designed for advanced reasoning and instruction-driven 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tasks.","capabilities":{"tool_call":true,"structured_output":true,"reasoning":true,"json_mode":true},"modalities":{"input":["text"],"output":["text"]},"pricing":{"input":0.975,"output":4.3,"cached_input":0.182},"tools":["function_calling"],"last_updated":"2026-06-30","max_output_tokens":131072},{"id":"z-ai/glm-5.2","name":"Z.ai: GLM 5.2","created_by":"z-ai","source":"official","family":"glm-5.2","description":"GLM 5.2 is a large-scale reasoning model from Z.ai.","release_date":"2026-06-16","context_window":1048576,"max_output_tokens":32768,"model_type":"chat","tagline":"GLM 5.2 is a large-scale reasoning model from Z.ai.","capabilities":{"tool_call":true,"structured_output":true,"reasoning":true,"json_mode":true},"modalities":{"input":["text"],"output":["text"]},"pricing":{"input":0.94,"output":3,"cached_input":0.18},"tools":["function_calling"],"last_updated":"2026-06-30"},{"id":"z-ai/glm-5","name":"Z.ai: GLM 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tasks.","release_date":"2026-04-01","context_window":202752,"max_output_tokens":131072,"model_type":"chat","tagline":"GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks.","capabilities":{"tool_call":true,"structured_output":true,"reasoning":true,"json_mode":true},"modalities":{"input":["image","text","video"],"output":["text"]},"pricing":{"input":1.2,"output":4,"cached_input":0.24},"tools":["function_calling"],"last_updated":"2026-06-29","status":"deprecated","deprecation_date":"2098-12-31"}]};
export const models: Model[] = provider.models.map((m) => ({ ...m, provider: provider.id }));
diff --git a/packages/npm/src/providers/stability.ts b/packages/npm/src/providers/stability.ts
index 0e3bcf321..ccc6befbd 100644
--- a/packages/npm/src/providers/stability.ts
+++ b/packages/npm/src/providers/stability.ts
@@ -3,6 +3,6 @@
import type { ProviderWithModels, Model } from '../types';
-export const provider: ProviderWithModels = {"id":"stability","name":"Stability AI","region":"GB","headquarters":"London, United Kingdom","founded":2019,"url":"https://stability.ai","api_url":"https://api.stability.ai","docs_url":"https://platform.stability.ai/docs","pricing_url":"https://platform.stability.ai/pricing","description":"AI company behind Stable Diffusion, Stable Video, Stable Audio, and related open and hosted generative models.","type":"direct","models_url":"https://huggingface.co/stabilityai","openai_compatible":false,"free_tier":false,"github_url":"https://github.com/Stability-AI","twitter_url":"https://x.com/StabilityAI","icon":"","models":[{"id":"ar-stablelm-2-base","name":"Ar Stablelm 2 Base","created_by":"stability","source":"official","description":"Ar Stablelm 2 Base is a Stability AI model published on the official Stability AI Hugging Face 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published on the official Stability AI Hugging Face organization.","huggingface_downloads":6,"last_modified":"2024-12-20","last_updated":"2026-06-03"},{"id":"ar-stablelm-2-chat","name":"Ar Stablelm 2 Chat","created_by":"stability","source":"official","description":"Ar Stablelm 2 Chat is a Stability AI model published on the official Stability AI Hugging Face organization.","status":"active","release_date":"2024-08-06","model_type":"code","license":"other","page_url":"https://huggingface.co/stabilityai/ar-stablelm-2-chat","open_weight":true,"tagline":"Ar Stablelm 2 Chat is a Stability AI model published on the official Stability AI Hugging Face organization.","capabilities":{"streaming":true,"fine_tuning":true},"modalities":{"input":["text"],"output":["text"]},"endpoints":["chat_completions"],"huggingface_downloads":7,"last_modified":"2024-12-06","last_updated":"2026-06-29"},{"id":"arcade100k","name":"Arcade100k","created_by":"stability","source":"official","description":"Arcade100k is a Stability AI model published on the official Stability AI Hugging Face organization.","status":"active","release_date":"2023-10-27","model_type":"other","page_url":"https://huggingface.co/stabilityai/arcade100k","open_weight":true,"tagline":"Arcade100k is a Stability AI model published on the official Stability AI Hugging Face organization.","huggingface_downloads":0,"last_modified":"2024-04-12","last_updated":"2026-05-11"},{"id":"codellama13b_instruct_260k_synthesis","name":"Codellama13b Instruct 260k Synthesis","created_by":"stability","source":"official","family":"codellama","description":"Codellama13b Instruct 260k Synthesis is a Stability AI model published on the official Stability AI Hugging Face organization.","status":"active","release_date":"2023-11-08","model_type":"chat","page_url":"https://huggingface.co/stabilityai/codellama13b_instruct_260k_synthesis","open_weight":true,"tagline":"Codellama13b Instruct 260k Synthesis is a Stability AI model published on the official Stability AI Hugging Face organization.","capabilities":{"streaming":true},"modalities":{"input":["text"],"output":["text"]},"endpoints":["chat_completions"],"huggingface_downloads":38,"last_modified":"2023-11-08","last_updated":"2026-06-20"},{"id":"control-lora","name":"Control Lora","created_by":"stability","source":"official","description":"Control Lora is a Stability AI model published on the official Stability AI Hugging Face organization.","status":"active","release_date":"2023-08-17","model_type":"image","license":"other","page_url":"https://huggingface.co/stabilityai/control-lora","open_weight":true,"tagline":"Control Lora is a Stability AI model published on the official Stability AI Hugging Face 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+export const provider: ProviderWithModels = {"id":"stability","name":"Stability AI","region":"GB","headquarters":"London, United Kingdom","founded":2019,"url":"https://stability.ai","api_url":"https://api.stability.ai","docs_url":"https://platform.stability.ai/docs","pricing_url":"https://platform.stability.ai/pricing","description":"AI company behind Stable Diffusion, Stable Video, Stable Audio, and related open and hosted generative models.","type":"direct","models_url":"https://huggingface.co/stabilityai","openai_compatible":false,"free_tier":false,"github_url":"https://github.com/Stability-AI","twitter_url":"https://x.com/StabilityAI","icon":"","models":[{"id":"ar-stablelm-2-base","name":"Ar Stablelm 2 Base","created_by":"stability","source":"official","description":"Ar Stablelm 2 Base is a Stability AI model published on the official Stability AI Hugging Face 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organization.","huggingface_downloads":365,"last_modified":"2025-04-04","last_updated":"2026-06-29"},{"id":"tiny-random-stablelm-2","name":"Tiny Random Stablelm 2","created_by":"stability","source":"official","description":"Tiny Random Stablelm 2 is a Stability AI model published on the official Stability AI Hugging Face organization.","status":"active","release_date":"2024-03-20","model_type":"chat","page_url":"https://huggingface.co/stabilityai/tiny-random-stablelm-2","open_weight":true,"tagline":"Tiny Random Stablelm 2 is a Stability AI model published on the official Stability AI Hugging Face organization.","capabilities":{"streaming":true},"modalities":{"input":["text"],"output":["text"]},"endpoints":["chat_completions"],"huggingface_downloads":1395,"last_modified":"2024-03-31","last_updated":"2026-06-30"},{"id":"TripoSR","name":"TripoSR","created_by":"stability","source":"official","description":"TripoSR is a Stability AI model published on the official Stability AI Hugging Face organization.","status":"active","release_date":"2024-02-29","model_type":"other","license":"mit","page_url":"https://huggingface.co/stabilityai/TripoSR","open_weight":true,"tagline":"TripoSR is a Stability AI model published on the official Stability AI Hugging Face organization.","capabilities":{"vision":true,"fine_tuning":true},"huggingface_downloads":188532,"last_modified":"2024-08-09","last_updated":"2026-06-30"}]};
export const models: Model[] = provider.models.map((m) => ({ ...m, provider: provider.id }));
diff --git a/packages/npm/src/providers/vertex.ts b/packages/npm/src/providers/vertex.ts
index cd109298d..8b3cab289 100644
--- a/packages/npm/src/providers/vertex.ts
+++ b/packages/npm/src/providers/vertex.ts
@@ -3,6 +3,6 @@
import type { ProviderWithModels, Model } from '../types';
-export const provider: ProviderWithModels = {"id":"vertex","name":"Google Vertex AI","region":"US","headquarters":"Mountain View, CA","url":"https://cloud.google.com/vertex-ai","api_url":"https://us-central1-aiplatform.googleapis.com/v1","docs_url":"https://docs.cloud.google.com/vertex-ai/generative-ai/docs/models","pricing_url":"https://cloud.google.com/vertex-ai/generative-ai/pricing","description":"Google Cloud Vertex AI provides enterprise access to Gemini, Claude, Llama, and Mistral models.","type":"cloud","playground_url":"https://console.cloud.google.com/vertex-ai/generative","status_url":"https://status.cloud.google.com","sdk":{"python":"google-cloud-aiplatform","javascript":"@google-cloud/vertexai"},"openai_compatible":true,"free_tier":false,"models_url":"https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models","twitter_url":"https://x.com/GoogleDeepMind","blog_url":"https://cloud.google.com/blog/products/ai-machine-learning","terms_url":"https://cloud.google.com/terms/service-terms","support_url":"https://cloud.google.com/vertex-ai/docs/support/getting-support","icon":"","models":[{"id":"antigravity-preview-05-2026","name":"antigravity-preview-05-2026","created_by":"google","source":"official","status":"active","context_window":1048576,"max_output_tokens":65536,"license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"vision":true},"modalities":{"input":["text","image"],"output":["text"]},"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-05-23"},{"id":"claude-haiku-4-5@vertex","name":"Claude Haiku 4.5","created_by":"anthropic","source":"official","last_updated":"2026-03-23","family":"claude-haiku","context_window":200000,"max_output_tokens":64000,"capabilities":{"streaming":true,"vision":true,"tool_call":true,"reasoning":true,"structured_output":true,"json_mode":true,"batch":true},"modalities":{"input":["text","image"],"output":["text"]},"pricing":{"input":1.1,"output":5.5,"cached_input":0.11,"batch_input":0.55,"batch_output":2.75,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[1.1,0.11,5.5]},{"label":"Batch","values":[0.55,null,2.75]}]}]},"model_type":"chat","tools":["function_calling"],"description":"The fastest model with near-frontier intelligence","tagline":"The fastest model with near-frontier intelligence","knowledge_cutoff":"2025-02","training_data_cutoff":"2025-07","license":"proprietary","open_weight":false},{"id":"claude-opus-4-6@vertex","name":"Claude Opus 4.6","created_by":"anthropic","source":"official","last_updated":"2026-03-23","family":"claude-opus","context_window":1000000,"max_output_tokens":128000,"capabilities":{"streaming":true,"vision":true,"tool_call":true,"reasoning":true,"structured_output":true,"json_mode":true,"batch":true},"modalities":{"input":["text","image"],"output":["text"]},"pricing":{"input":5.5,"output":27.5,"cached_input":0.55,"batch_input":2.75,"batch_output":13.75,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[5.5,0.55,27.5]},{"label":"Batch","values":[2.75,null,13.75]}]}]},"model_type":"chat","tools":["function_calling"],"description":"The most intelligent broadly available model for agents and coding","tagline":"The most intelligent model for building agents and coding","knowledge_cutoff":"2025-05","training_data_cutoff":"2025-08","license":"proprietary","open_weight":false},{"id":"claude-sonnet-4-6@vertex","name":"Claude Sonnet 4.6","created_by":"anthropic","source":"official","last_updated":"2026-03-23","family":"claude-sonnet","context_window":1000000,"max_output_tokens":64000,"capabilities":{"streaming":true,"vision":true,"tool_call":true,"reasoning":true,"structured_output":true,"json_mode":true,"batch":true},"modalities":{"input":["text","image"],"output":["text"]},"pricing":{"input":3.3,"output":16.5,"cached_input":0.33,"batch_input":1.65,"batch_output":8.25,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[3.3,0.33,16.5]},{"label":"Batch","values":[1.65,null,8.25]}]}]},"model_type":"chat","tools":["function_calling"],"description":"The best combination of speed and intelligence","tagline":"The best combination of speed and intelligence","knowledge_cutoff":"2025-08","training_data_cutoff":"2026-01","license":"proprietary","open_weight":false},{"id":"deep-research-max-preview-04-2026","name":"deep-research-max-preview-04-2026","created_by":"google","source":"official","family":"deep-research","status":"active","context_window":1048576,"max_output_tokens":65536,"model_type":"reasoning","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"vision":true},"modalities":{"input":["text","image","video","audio"],"output":["text"]},"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-04-22"},{"id":"deep-research-preview-04-2026","name":"deep-research-preview-04-2026","created_by":"google","source":"official","family":"deep-research","status":"active","context_window":1048576,"max_output_tokens":65536,"model_type":"reasoning","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"vision":true},"modalities":{"input":["text","image","video","audio"],"output":["text"]},"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-04-22"},{"id":"deep-research-pro-preview-12-2025","name":"deep-research-pro-preview-12-2025","created_by":"google","source":"official","last_updated":"2026-04-22","status":"active","context_window":1048576,"max_output_tokens":65536,"model_type":"reasoning","capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image","video","audio"],"output":["text"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"family":"deep-research","license":"proprietary","open_weight":false},{"id":"embedding-001","name":"embedding-001","created_by":"google","source":"official","last_updated":"2026-06-02","status":"deprecated","deprecation_date":"2025-10-30","model_type":"embed","successor":"gemini-embedding-2","modalities":{"input":["text"],"output":["text"]},"family":"embed","license":"proprietary","open_weight":false},{"id":"embedding-gecko-001","name":"embedding-gecko-001","created_by":"google","source":"official","last_updated":"2026-06-02","status":"deprecated","deprecation_date":"2025-10-30","model_type":"embed","successor":"gemini-embedding-2","modalities":{"input":["text"],"output":["text"]},"family":"embed","license":"proprietary","open_weight":false},{"id":"gemini-2.0-flash-001","name":"gemini-2.0-flash-001","created_by":"google","source":"official","last_updated":"2026-06-02","family":"gemini-2.0","status":"deprecated","capabilities":{"streaming":true,"vision":true},"modalities":{"input":["text","image"],"output":["text"]},"pricing":{"input":0.25,"output":0.15,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[0.15,null,0.6]}]}]},"model_type":"chat","license":"proprietary","open_weight":false,"deprecation_date":"2026-06-01","successor":"gemini-3.5-flash"},{"id":"gemini-2.0-flash-lite-001","name":"gemini-2.0-flash-lite-001","created_by":"google","source":"official","last_updated":"2026-06-02","family":"gemini-2.0","status":"deprecated","capabilities":{"streaming":true,"vision":true},"modalities":{"input":["text","image"],"output":["text"]},"pricing":{"input":0.25,"output":0.15,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached 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input","Output"],"rows":[{"label":"Standard","values":[0.15,null,0.6]}]}]},"model_type":"chat","license":"proprietary","open_weight":false},{"id":"gemini-2.0-flash-lite","name":"gemini-2.0-flash-lite","created_by":"google","source":"official","last_updated":"2026-06-02","family":"gemini-2.0","status":"deprecated","knowledge_cutoff":"2024-08","context_window":1048576,"max_output_tokens":8192,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image","video","audio"],"output":["text","image","audio"]},"pricing":{"input":0.25,"output":0.075,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[0.075,null,0.3]}]}]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"model_type":"chat","license":"proprietary","open_weight":false,"deprecation_date":"2026-06-01","successor":"gemini-3.1-flash-lite"},{"id":"gemini-2.0-flash-live-001","name":"gemini-2.0-flash-live-001","created_by":"google","source":"official","last_updated":"2026-03-27","family":"gemini-2.0","status":"deprecated","deprecation_date":"2025-12-09","successor":"gemini-3.1-flash-live-preview","capabilities":{"streaming":true,"vision":true},"modalities":{"input":["text","image"],"output":["text"]},"pricing":{"input":0.25,"output":0.15,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached 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We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Gemini 2.5 Flash Image (Nano Banana) Our best engine for high-velocity visual creation, offering state-of-the-art speed and efficiency. Gemini 2.5 Flash Image, also known as Nano Banana, is best for high-volume generation, conversational image editing, and low-latency creative workflows that require native multimodal understanding.","tagline":"Our best engine for high-velocity visual creation, offering state-of-the-art speed and efficiency."},{"id":"gemini-2.5-flash-lite-preview-09-2025","name":"gemini-2.5-flash-lite-preview-09-2025","created_by":"google","source":"official","last_updated":"2026-05-10","family":"gemini-2.5","status":"deprecated","knowledge_cutoff":"2025-01","context_window":1048576,"max_output_tokens":65536,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image","video","audio"],"output":["text","image","audio"]},"pricing":{"input":0.3,"output":2.5,"batch_input":0.15,"batch_output":1.25,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[0.3,null,2.5]},{"label":"Priority","values":[0.54,null,4.5]},{"label":"Flex","values":[0.15,null,1.25]}]}]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"model_type":"chat","license":"proprietary","open_weight":false,"deprecation_date":"2026-03-31","successor":"gemini-3.1-flash-lite"},{"id":"gemini-2.5-flash-lite","name":"gemini-2.5-flash-lite","created_by":"google","source":"official","last_updated":"2026-06-29","family":"gemini-2.5","status":"active","knowledge_cutoff":"2025-01","context_window":1048576,"max_output_tokens":65536,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image","video","audio"],"output":["text","image","audio"]},"pricing":{"input":0.1,"output":0.4,"batch_input":0.05,"batch_output":0.2,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[0.1,null,0.4]},{"label":"Priority","values":[0.18,null,0.72]},{"label":"Flex","values":[0.05,null,0.2]}]}]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"model_type":"chat","license":"proprietary","open_weight":false,"description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Gemini 2.5 Flash-Lite Our most cost-efficient multimodal model, offering the fastest performance for high-frequency, lightweight tasks. 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It's optimized for software engineering behavior and usability, as well as agentic workflows requiring precise tool usage and reliable multi-step execution across real-world domains.","tagline":"The Interactions API is now generally available."},{"id":"gemini-3.5-flash","name":"gemini-3.5-flash","created_by":"google","source":"official","family":"gemini-3.5","status":"active","knowledge_cutoff":"2025-01","context_window":1048576,"max_output_tokens":65536,"model_type":"chat","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image","video","audio"],"output":["text","image","audio"]},"pricing":{"input":1.5,"output":9,"batch_input":0.75,"batch_output":4.5,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[1.5,null,9]},{"label":"Priority","values":[2.7,null,16.2]},{"label":"Flex","values":[0.75,null,4.5]}]}]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-06-29","description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Gemini 3.5 Flash Gemini 3.5 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at sub-agent deployment, multi-step workflows, and long-horizon tasks at scale. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.","tagline":"The Interactions API is now generally available."},{"id":"gemini-3.5-live-translate-preview","name":"gemini-3.5-live-translate-preview","created_by":"google","source":"official","family":"gemini-3.5","status":"active","knowledge_cutoff":"2025-01","context_window":131072,"max_output_tokens":65536,"model_type":"translation","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image","audio"],"output":["text","image","audio"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-06-29","description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Gemini 3.5 Live Translate Gemini 3.5 Live Translate is our low-latency, audio-to-audio model optimized for real-time translation of spoken conversations. It enables seamless, bidirectional translation with high accuracy and natural voice output.","tagline":"The Interactions API is now generally available."},{"id":"gemini-embedding-001","name":"gemini-embedding-001","created_by":"google","source":"official","last_updated":"2026-03-27","status":"active","context_window":2048,"model_type":"embed","capabilities":{"vision":true},"modalities":{"input":["text"],"output":["text"]},"endpoints":["generateContent","streamGenerateContent"],"family":"gemini-embedding","license":"proprietary","open_weight":false},{"id":"gemini-embedding-2-preview","name":"gemini-embedding-2-preview","created_by":"google","source":"official","last_updated":"2026-03-23","status":"active","context_window":8192,"model_type":"embed","capabilities":{"vision":true},"modalities":{"input":["text"],"output":["text"]},"endpoints":["generateContent","streamGenerateContent"],"family":"gemini-embedding","license":"proprietary","open_weight":false},{"id":"gemini-embedding-2","name":"gemini-embedding-2","created_by":"google","source":"official","family":"gemini-embedding","status":"active","context_window":8192,"model_type":"embed","license":"proprietary","open_weight":false,"capabilities":{"vision":true},"modalities":{"input":["text"],"output":["text"]},"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-04-24"},{"id":"gemini-embedding-exp-03-07","name":"gemini-embedding-exp-03-07","created_by":"google","source":"official","last_updated":"2026-06-02","status":"deprecated","deprecation_date":"2025-10-30","model_type":"embed","successor":"gemini-embedding-2","modalities":{"input":["text"],"output":["text"]},"family":"gemini-embedding","license":"proprietary","open_weight":false},{"id":"gemini-embedding-exp","name":"gemini-embedding-exp","created_by":"google","source":"official","last_updated":"2026-06-02","status":"deprecated","deprecation_date":"2025-10-30","model_type":"embed","successor":"gemini-embedding-2","modalities":{"input":["text"],"output":["text"]},"family":"gemini-embedding","license":"proprietary","open_weight":false},{"id":"gemini-live-2.5-flash-preview","name":"gemini-live-2.5-flash-preview","created_by":"google","source":"official","last_updated":"2026-03-27","status":"deprecated","deprecation_date":"2025-12-09","successor":"gemini-3.1-flash-live-preview","capabilities":{"streaming":true,"vision":true},"modalities":{"input":["text","image"],"output":["text"]},"family":"gemini-2.5","model_type":"chat","license":"proprietary","open_weight":false},{"id":"gemini-robotics-er-1.5-preview","name":"gemini-robotics-er-1.5-preview","created_by":"google","source":"official","last_updated":"2026-06-29","status":"deprecated","knowledge_cutoff":"2025-01","context_window":1048576,"max_output_tokens":65536,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image","video","audio"],"output":["text","image","audio"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"family":"gemini-1.5","model_type":"chat","license":"proprietary","open_weight":false,"deprecation_date":"2026-04-30","successor":"gemini-robotics-er-1.6-preview","description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Gemini Robotics-ER 1.5 Note: This version is planned for deprecation soon . See the models page for the latest model version. Gemini Robotics-ER 1.5 is a vision-language model (VLM) that brings Gemini's agentic capabilities to robotics. It's designed for advanced reasoning in the physical world, allowing robots to interpret complex visual data, perform spatial reasoning, and plan actions from natural language commands.","tagline":"The Interactions API is now generally available."},{"id":"gemini-robotics-er-1.6-preview","name":"gemini-robotics-er-1.6-preview","created_by":"google","source":"official","family":"gemini-1.6","status":"active","knowledge_cutoff":"2025-01","context_window":131072,"max_output_tokens":65536,"model_type":"chat","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image","video","audio"],"output":["text","image","audio"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-06-29","description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Gemini Robotics-ER 1.6 Gemini Robotics-ER 1.6 is a vision-language model (VLM) that brings Gemini's agentic capabilities to robotics. It's designed for advanced reasoning in the physical world, allowing robots to interpret complex visual data, perform spatial reasoning, and plan actions from natural language commands.","tagline":"The Interactions API is now generally available."},{"id":"imagen-3.0-generate-002","name":"imagen-3.0-generate-002","created_by":"google","source":"official","last_updated":"2026-03-23","status":"deprecated","deprecation_date":"2025-11-10","model_type":"image","successor":"imagen-4.0-generate-001","modalities":{"input":["text"],"output":["image"]},"family":"imagen-3.0","license":"proprietary","open_weight":false},{"id":"imagen-4.0-fast-generate-001","name":"imagen-4.0-fast-generate-001","created_by":"google","source":"official","last_updated":"2026-03-27","status":"active","model_type":"image","modalities":{"input":["text"],"output":["image"]},"family":"imagen-4.0","license":"proprietary","open_weight":false},{"id":"imagen-4.0-generate-001","name":"imagen-4.0-generate-001","created_by":"google","source":"official","last_updated":"2026-03-27","status":"active","model_type":"image","modalities":{"input":["text"],"output":["image"]},"family":"imagen-4.0","license":"proprietary","open_weight":false},{"id":"imagen-4.0-generate-preview-06-06","name":"imagen-4.0-generate-preview-06-06","created_by":"google","source":"official","last_updated":"2026-03-23","status":"deprecated","deprecation_date":"2026-02-17","model_type":"image","successor":"imagen-4.0-generate-001","modalities":{"input":["text"],"output":["image"]},"family":"imagen-4.0","license":"proprietary","open_weight":false},{"id":"imagen-4.0-ultra-generate-001","name":"imagen-4.0-ultra-generate-001","created_by":"google","source":"official","last_updated":"2026-03-27","status":"active","model_type":"image","modalities":{"input":["text"],"output":["image"]},"family":"imagen-4.0","license":"proprietary","open_weight":false},{"id":"imagen-4.0-ultra-generate-preview-06-06","name":"imagen-4.0-ultra-generate-preview-06-06","created_by":"google","source":"official","last_updated":"2026-03-23","status":"deprecated","deprecation_date":"2026-02-17","model_type":"image","successor":"imagen-4.0-ultra-generate-001","modalities":{"input":["text"],"output":["image"]},"family":"imagen-4.0","license":"proprietary","open_weight":false},{"id":"imagen","name":"imagen","created_by":"google","source":"official","last_updated":"2026-06-29","status":"active","context_window":480,"model_type":"image","capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text"],"output":["image"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"family":"imagen","license":"proprietary","open_weight":false,"description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Imagen 4 The Imagen 4 standard, ultra, and fast endpoints are deprecated and will be shut down on **August 17, 2026**; migrate to Gemini 3.1 Flash Image to avoid service interruptions. A high-performance engine for advanced visual synthesis, offering sophisticated creative control and photorealistic output. Use Imagen 4 for professional branding, intricate scene composition, and high-fidelity design tasks that require precise text rendering and complex lighting.","tagline":"A high-performance engine for advanced visual synthesis, offering sophisticated creative control and photorealistic output."},{"id":"jamba-1.5-large@vertex","name":"Jamba 1.5 Large","created_by":"ai21","source":"official","last_updated":"2026-03-22","capabilities":{"streaming":true},"modalities":{"input":["text"],"output":["text"]},"model_type":"chat"},{"id":"jamba-1.5-mini@vertex","name":"Jamba 1.5 Mini","created_by":"ai21","source":"official","last_updated":"2026-03-22","capabilities":{"streaming":true},"modalities":{"input":["text"],"output":["text"]},"model_type":"chat"},{"id":"lyria-3-clip-preview","name":"lyria-3-clip-preview","created_by":"google","source":"official","status":"active","context_window":131072,"model_type":"tts","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text"],"output":["audio"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-06-29","description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Lyria 3 Clip Preview Lyria 3 Clip Preview is Google's model optimized for generating short musical clips, loops, and previews. It generates 30-second high-quality, 48kHz stereo audio from text prompts or image inputs.","tagline":"The Interactions API is now generally available."},{"id":"lyria-3-pro-preview","name":"lyria-3-pro-preview","created_by":"google","source":"official","status":"active","context_window":131072,"model_type":"tts","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text"],"output":["audio"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-06-29","description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Lyria 3 Pro Preview Lyria 3 Pro Preview is Google's flagship music generation model. It is optimized for generating full-length songs with complex structural coherence, including multiple verses, choruses, and bridges. It generates high-quality, 48kHz stereo audio from text prompts or image inputs.","tagline":"The Interactions API is now generally available."},{"id":"lyria-realtime-exp","name":"lyria-realtime-exp","created_by":"google","source":"official","last_updated":"2026-03-24","status":"active","model_type":"tts","capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text"],"output":["audio"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"license":"proprietary","open_weight":false},{"id":"mistral-medium-3@vertex","name":"Mistral Medium 3","created_by":"mistral","source":"official","last_updated":"2026-03-23","family":"mistral-medium","capabilities":{"streaming":true,"tool_call":true},"modalities":{"input":["text"],"output":["text"]},"pricing":{"input":0.4,"output":2,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[0.4,null,2]}]}]},"model_type":"chat","tools":["function_calling"]},{"id":"text-embedding-004","name":"text-embedding-004","created_by":"google","source":"official","last_updated":"2026-06-02","status":"deprecated","deprecation_date":"2026-01-14","model_type":"embed","successor":"gemini-embedding-2","modalities":{"input":["text"],"output":["text"]},"family":"text-embedding","license":"proprietary","open_weight":false},{"id":"veo-2.0-generate-001","name":"veo-2.0-generate-001","created_by":"google","source":"official","last_updated":"2026-06-29","status":"active","model_type":"video","capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image"],"output":["video"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"family":"veo-2.0","license":"proprietary","open_weight":false,"description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Veo 2.0 This model is deprecated and will be shut down on **June 30, 2026**; migrate to Veo 3.1 Preview or the GA models available through the Gemini Enterprise Agent Platform to avoid service interruptions. Our robust and reliable stable video generation model, providing consistent performance for production-ready workflows. Veo 2.0 is best for standard 1080p content creation, social media assets, and high-volume video tasks that prioritize reliable character consistency and predictable sub-second generation speeds.","tagline":"Our robust and reliable stable video generation model, providing consistent performance for production-ready workflows."},{"id":"veo-3.0-fast-generate-001","name":"veo-3.0-fast-generate-001","created_by":"google","source":"official","family":"veo-3.0","status":"active","model_type":"video","license":"proprietary","open_weight":false,"modalities":{"input":["text"],"output":["video"]},"last_updated":"2026-06-18"},{"id":"veo-3.0-fast-generate-preview","name":"veo-3.0-fast-generate-preview","created_by":"google","source":"official","last_updated":"2026-03-23","status":"deprecated","deprecation_date":"2025-11-12","model_type":"video","successor":"veo-3.1-fast-generate-preview","modalities":{"input":["text"],"output":["video"]},"family":"veo-3.0","license":"proprietary","open_weight":false},{"id":"veo-3.0-generate-001","name":"veo-3.0-generate-001","created_by":"google","source":"official","family":"veo-3.0","status":"active","model_type":"video","license":"proprietary","open_weight":false,"modalities":{"input":["text"],"output":["video"]},"last_updated":"2026-06-18"},{"id":"veo-3.0-generate-preview","name":"veo-3.0-generate-preview","created_by":"google","source":"official","last_updated":"2026-03-23","status":"deprecated","deprecation_date":"2025-11-12","model_type":"video","successor":"veo-3.1-generate-preview","modalities":{"input":["text"],"output":["video"]},"family":"veo-3.0","license":"proprietary","open_weight":false},{"id":"veo-3.1-fast-generate-preview","name":"veo-3.1-fast-generate-preview","created_by":"google","source":"official","family":"veo-3.1","status":"deprecated","deprecation_date":"2025-10-15","model_type":"video","license":"proprietary","open_weight":false,"modalities":{"input":["text"],"output":["video"]},"last_updated":"2026-03-26"},{"id":"veo-3.1-generate-preview","name":"veo-3.1-generate-preview","created_by":"google","source":"official","last_updated":"2026-06-29","status":"active","context_window":1024,"model_type":"video","capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image"],"output":["video"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"family":"veo-3.1","license":"proprietary","open_weight":false,"description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Veo 3.1 A state-of-the-art cinematic engine designed for high-end creative storytelling and experimental video production. Veo 3.1 is best for professional-grade 4K output, natively synchronized audio generation, and complex camera movements that require the highest level of temporal consistency and artistic control.","tagline":"A state-of-the-art cinematic engine designed for high-end creative storytelling and experimental video production."},{"id":"veo-3.1-lite-generate-preview","name":"veo-3.1-lite-generate-preview","created_by":"google","source":"official","family":"veo-3.1","status":"active","context_window":1024,"model_type":"video","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"vision":true},"modalities":{"input":["text","image"],"output":["video"]},"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-06-29","description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Veo 3.1 Lite Preview Veo 3.1 Lite Preview is a high-efficiency, developer-first video model providing high-fidelity video generation, editing, and cinematic control. It leverages the state-of-the-art Veo 3.1 model to democratize professional-grade video AI by offering a scalable, programmable interface for creators and enterprises.","tagline":"The Interactions API is now generally available."}]};
+export const provider: ProviderWithModels = {"id":"vertex","name":"Google Vertex AI","region":"US","headquarters":"Mountain View, CA","url":"https://cloud.google.com/vertex-ai","api_url":"https://us-central1-aiplatform.googleapis.com/v1","docs_url":"https://docs.cloud.google.com/vertex-ai/generative-ai/docs/models","pricing_url":"https://cloud.google.com/vertex-ai/generative-ai/pricing","description":"Google Cloud Vertex AI provides enterprise access to Gemini, Claude, Llama, and Mistral models.","type":"cloud","playground_url":"https://console.cloud.google.com/vertex-ai/generative","status_url":"https://status.cloud.google.com","sdk":{"python":"google-cloud-aiplatform","javascript":"@google-cloud/vertexai"},"openai_compatible":true,"free_tier":false,"models_url":"https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models","twitter_url":"https://x.com/GoogleDeepMind","blog_url":"https://cloud.google.com/blog/products/ai-machine-learning","terms_url":"https://cloud.google.com/terms/service-terms","support_url":"https://cloud.google.com/vertex-ai/docs/support/getting-support","icon":"","models":[{"id":"antigravity-preview-05-2026","name":"antigravity-preview-05-2026","created_by":"google","source":"official","status":"active","context_window":1048576,"max_output_tokens":65536,"license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"vision":true},"modalities":{"input":["text","image"],"output":["text"]},"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-05-23"},{"id":"claude-haiku-4-5@vertex","name":"Claude Haiku 4.5","created_by":"anthropic","source":"official","last_updated":"2026-03-23","family":"claude-haiku","context_window":200000,"max_output_tokens":64000,"capabilities":{"streaming":true,"vision":true,"tool_call":true,"reasoning":true,"structured_output":true,"json_mode":true,"batch":true},"modalities":{"input":["text","image"],"output":["text"]},"pricing":{"input":1.1,"output":5.5,"cached_input":0.11,"batch_input":0.55,"batch_output":2.75,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[1.1,0.11,5.5]},{"label":"Batch","values":[0.55,null,2.75]}]}]},"model_type":"chat","tools":["function_calling"],"description":"The fastest model with near-frontier intelligence","tagline":"The fastest model with near-frontier intelligence","knowledge_cutoff":"2025-02","training_data_cutoff":"2025-07","license":"proprietary","open_weight":false},{"id":"claude-opus-4-6@vertex","name":"Claude Opus 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It's designed for advanced reasoning in the physical world, allowing robots to interpret complex visual data, perform spatial reasoning, and plan actions from natural language commands.","tagline":"The Interactions API is now generally available."},{"id":"imagen-3.0-generate-002","name":"imagen-3.0-generate-002","created_by":"google","source":"official","last_updated":"2026-03-23","status":"deprecated","deprecation_date":"2025-11-10","model_type":"image","successor":"imagen-4.0-generate-001","modalities":{"input":["text"],"output":["image"]},"family":"imagen-3.0","license":"proprietary","open_weight":false},{"id":"imagen-4.0-fast-generate-001","name":"imagen-4.0-fast-generate-001","created_by":"google","source":"official","last_updated":"2026-03-27","status":"active","model_type":"image","modalities":{"input":["text"],"output":["image"]},"family":"imagen-4.0","license":"proprietary","open_weight":false},{"id":"imagen-4.0-generate-001","name":"imagen-4.0-generate-001","created_by":"google","source":"official","last_updated":"2026-03-27","status":"active","model_type":"image","modalities":{"input":["text"],"output":["image"]},"family":"imagen-4.0","license":"proprietary","open_weight":false},{"id":"imagen-4.0-generate-preview-06-06","name":"imagen-4.0-generate-preview-06-06","created_by":"google","source":"official","last_updated":"2026-03-23","status":"deprecated","deprecation_date":"2026-02-17","model_type":"image","successor":"imagen-4.0-generate-001","modalities":{"input":["text"],"output":["image"]},"family":"imagen-4.0","license":"proprietary","open_weight":false},{"id":"imagen-4.0-ultra-generate-001","name":"imagen-4.0-ultra-generate-001","created_by":"google","source":"official","last_updated":"2026-03-27","status":"active","model_type":"image","modalities":{"input":["text"],"output":["image"]},"family":"imagen-4.0","license":"proprietary","open_weight":false},{"id":"imagen-4.0-ultra-generate-preview-06-06","name":"imagen-4.0-ultra-generate-preview-06-06","created_by":"google","source":"official","last_updated":"2026-03-23","status":"deprecated","deprecation_date":"2026-02-17","model_type":"image","successor":"imagen-4.0-ultra-generate-001","modalities":{"input":["text"],"output":["image"]},"family":"imagen-4.0","license":"proprietary","open_weight":false},{"id":"imagen","name":"imagen","created_by":"google","source":"official","last_updated":"2026-06-29","status":"active","context_window":480,"model_type":"image","capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text"],"output":["image"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"family":"imagen","license":"proprietary","open_weight":false,"description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Imagen 4 The Imagen 4 standard, ultra, and fast endpoints are deprecated and will be shut down on **August 17, 2026**; migrate to Gemini 3.1 Flash Image to avoid service interruptions. A high-performance engine for advanced visual synthesis, offering sophisticated creative control and photorealistic output. Use Imagen 4 for professional branding, intricate scene composition, and high-fidelity design tasks that require precise text rendering and complex lighting.","tagline":"A high-performance engine for advanced visual synthesis, offering sophisticated creative control and photorealistic output."},{"id":"jamba-1.5-large@vertex","name":"Jamba 1.5 Large","created_by":"ai21","source":"official","last_updated":"2026-03-22","capabilities":{"streaming":true},"modalities":{"input":["text"],"output":["text"]},"model_type":"chat"},{"id":"jamba-1.5-mini@vertex","name":"Jamba 1.5 Mini","created_by":"ai21","source":"official","last_updated":"2026-03-22","capabilities":{"streaming":true},"modalities":{"input":["text"],"output":["text"]},"model_type":"chat"},{"id":"lyria-3-clip-preview","name":"lyria-3-clip-preview","created_by":"google","source":"official","status":"active","context_window":131072,"model_type":"tts","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text"],"output":["audio"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-06-29","description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Lyria 3 Clip Preview Lyria 3 Clip Preview is Google's model optimized for generating short musical clips, loops, and previews. It generates 30-second high-quality, 48kHz stereo audio from text prompts or image inputs.","tagline":"The Interactions API is now generally available."},{"id":"lyria-3-pro-preview","name":"lyria-3-pro-preview","created_by":"google","source":"official","status":"active","context_window":131072,"model_type":"tts","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text"],"output":["audio"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-06-29","description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Lyria 3 Pro Preview Lyria 3 Pro Preview is Google's flagship music generation model. It is optimized for generating full-length songs with complex structural coherence, including multiple verses, choruses, and bridges. It generates high-quality, 48kHz stereo audio from text prompts or image inputs.","tagline":"The Interactions API is now generally available."},{"id":"lyria-realtime-exp","name":"lyria-realtime-exp","created_by":"google","source":"official","last_updated":"2026-03-24","status":"active","model_type":"tts","capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text"],"output":["audio"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"license":"proprietary","open_weight":false},{"id":"mistral-medium-3@vertex","name":"Mistral Medium 3","created_by":"mistral","source":"official","last_updated":"2026-03-23","family":"mistral-medium","capabilities":{"streaming":true,"tool_call":true},"modalities":{"input":["text"],"output":["text"]},"pricing":{"input":0.4,"output":2,"tiers":[{"label":"Text tokens","unit":"Per 1M tokens","columns":["Input","Cached input","Output"],"rows":[{"label":"Standard","values":[0.4,null,2]}]}]},"model_type":"chat","tools":["function_calling"]},{"id":"text-embedding-004","name":"text-embedding-004","created_by":"google","source":"official","last_updated":"2026-06-02","status":"deprecated","deprecation_date":"2026-01-14","model_type":"embed","successor":"gemini-embedding-2","modalities":{"input":["text"],"output":["text"]},"family":"text-embedding","license":"proprietary","open_weight":false},{"id":"veo-2.0-generate-001","name":"veo-2.0-generate-001","created_by":"google","source":"official","last_updated":"2026-06-30","status":"deprecated","model_type":"video","capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image"],"output":["video"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"family":"veo-2.0","license":"proprietary","open_weight":false,"description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Veo 2.0 This model is deprecated and will be shut down on **June 30, 2026**; migrate to Veo 3.1 Preview or the GA models available through the Gemini Enterprise Agent Platform to avoid service interruptions. Our robust and reliable stable video generation model, providing consistent performance for production-ready workflows. Veo 2.0 is best for standard 1080p content creation, social media assets, and high-volume video tasks that prioritize reliable character consistency and predictable sub-second generation speeds.","tagline":"Our robust and reliable stable video generation model, providing consistent performance for production-ready workflows.","deprecation_date":"2026-06-30","successor":["veo-3.1-generate-preview","the GA models on the Gemini Enterprise Agent Platf","m"]},{"id":"veo-3.0-fast-generate-001","name":"veo-3.0-fast-generate-001","created_by":"google","source":"official","family":"veo-3.0","status":"deprecated","model_type":"video","license":"proprietary","open_weight":false,"modalities":{"input":["text"],"output":["video"]},"last_updated":"2026-06-30","deprecation_date":"2026-06-30","successor":["veo-3.1-fast-generate-preview","the GA models on the Gemini Enterprise Agent Platf","m"]},{"id":"veo-3.0-fast-generate-preview","name":"veo-3.0-fast-generate-preview","created_by":"google","source":"official","last_updated":"2026-03-23","status":"deprecated","deprecation_date":"2025-11-12","model_type":"video","successor":"veo-3.1-fast-generate-preview","modalities":{"input":["text"],"output":["video"]},"family":"veo-3.0","license":"proprietary","open_weight":false},{"id":"veo-3.0-generate-001","name":"veo-3.0-generate-001","created_by":"google","source":"official","family":"veo-3.0","status":"deprecated","model_type":"video","license":"proprietary","open_weight":false,"modalities":{"input":["text"],"output":["video"]},"last_updated":"2026-06-30","deprecation_date":"2026-06-30","successor":["veo-3.1-generate-preview","the GA models on the Gemini Enterprise Agent Platf","m"]},{"id":"veo-3.0-generate-preview","name":"veo-3.0-generate-preview","created_by":"google","source":"official","last_updated":"2026-03-23","status":"deprecated","deprecation_date":"2025-11-12","model_type":"video","successor":"veo-3.1-generate-preview","modalities":{"input":["text"],"output":["video"]},"family":"veo-3.0","license":"proprietary","open_weight":false},{"id":"veo-3.1-fast-generate-preview","name":"veo-3.1-fast-generate-preview","created_by":"google","source":"official","family":"veo-3.1","status":"deprecated","deprecation_date":"2025-10-15","model_type":"video","license":"proprietary","open_weight":false,"modalities":{"input":["text"],"output":["video"]},"last_updated":"2026-03-26"},{"id":"veo-3.1-generate-preview","name":"veo-3.1-generate-preview","created_by":"google","source":"official","last_updated":"2026-06-29","status":"active","context_window":1024,"model_type":"video","capabilities":{"streaming":true,"tool_call":true,"structured_output":true,"reasoning":true,"batch":true,"vision":true,"json_mode":true},"modalities":{"input":["text","image"],"output":["video"]},"tools":["function_calling"],"endpoints":["generateContent","streamGenerateContent"],"family":"veo-3.1","license":"proprietary","open_weight":false,"description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Veo 3.1 A state-of-the-art cinematic engine designed for high-end creative storytelling and experimental video production. Veo 3.1 is best for professional-grade 4K output, natively synchronized audio generation, and complex camera movements that require the highest level of temporal consistency and artistic control.","tagline":"A state-of-the-art cinematic engine designed for high-end creative storytelling and experimental video production."},{"id":"veo-3.1-lite-generate-preview","name":"veo-3.1-lite-generate-preview","created_by":"google","source":"official","family":"veo-3.1","status":"active","context_window":1024,"model_type":"video","license":"proprietary","open_weight":false,"capabilities":{"streaming":true,"vision":true},"modalities":{"input":["text","image"],"output":["video"]},"endpoints":["generateContent","streamGenerateContent"],"last_updated":"2026-06-29","description":"The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Veo 3.1 Lite Preview Veo 3.1 Lite Preview is a high-efficiency, developer-first video model providing high-fidelity video generation, editing, and cinematic control. It leverages the state-of-the-art Veo 3.1 model to democratize professional-grade video AI by offering a scalable, programmable interface for creators and enterprises.","tagline":"The Interactions API is now generally available."}]};
export const models: Model[] = provider.models.map((m) => ({ ...m, provider: provider.id }));
](https://discord.gg/u54VK8m8tk) [](https://ko-fi.com/unsloth) [](https://github.com/unslothai/unsloth)","release_date":"2024-02-14","context_window":2048,"license":"apache-2.0","parameters":1.1,"tagline":"[](https://discord.gg/u54VK8m8tk) [