diff --git a/evaluation/code_eval/coding/LiveCodeBench/lcb_runner/lm_styles.py b/evaluation/code_eval/coding/LiveCodeBench/lcb_runner/lm_styles.py
index 38b6040..b56cefc 100644
--- a/evaluation/code_eval/coding/LiveCodeBench/lcb_runner/lm_styles.py
+++ b/evaluation/code_eval/coding/LiveCodeBench/lcb_runner/lm_styles.py
@@ -287,6 +287,14 @@ def to_dict(self) -> dict:
         datetime(2023, 4, 30),
         link="https://openai.com/index/spring-update",
     ),
+    ## Forge (OpenAI-compatible)
+    LanguageModel(
+        "OpenAI/gpt-4o-mini",
+        "Forge-OpenAI-GPT-4o-mini",
+        LMStyle.OpenAIChat,
+        datetime(2024, 7, 18),
+        link="https://forge.tensorblock.co",
+    ),
     ## O1-Mini and O1-Preview
     LanguageModel(
         "o1-preview-2024-09-12",
diff --git a/evaluation/code_eval/coding/LiveCodeBench/lcb_runner/runner/oai_runner.py b/evaluation/code_eval/coding/LiveCodeBench/lcb_runner/runner/oai_runner.py
index 50915e4..f34594d 100644
--- a/evaluation/code_eval/coding/LiveCodeBench/lcb_runner/runner/oai_runner.py
+++ b/evaluation/code_eval/coding/LiveCodeBench/lcb_runner/runner/oai_runner.py
@@ -12,12 +12,20 @@
 
 
 class OpenAIRunner(BaseRunner):
-    client = OpenAI(
-        api_key=os.getenv("OPENAI_KEY"),
-    )
+    @staticmethod
+    def _build_client():
+        forge_api_key = os.getenv("FORGE_API_KEY")
+        if forge_api_key:
+            return OpenAI(
+                api_key=forge_api_key,
+                base_url=os.getenv("FORGE_API_BASE")
+                or "https://api.forge.tensorblock.co/v1",
+            )
+        return OpenAI(api_key=os.getenv("OPENAI_KEY"))
 
     def __init__(self, args, model):
         super().__init__(args, model)
+        self.client = self._build_client()
         if model.model_style == LMStyle.OpenAIReasonPreview:
             self.client_kwargs: dict[str | str] = {
                 "model": args.model,
@@ -49,7 +57,7 @@ def _run_single(self, prompt: list[dict[str, str]]) -> list[str]:
         assert isinstance(prompt, list)
 
         try:
-            response = OpenAIRunner.client.chat.completions.create(
+            response = self.client.chat.completions.create(
                 messages=prompt,
                 **self.client_kwargs,
             )