diff --git a/.env.example b/.env.example
index 000f11c4d..ba4f69a10 100644
--- a/.env.example
+++ b/.env.example
@@ -4,6 +4,12 @@ OPENAI_API_KEY=
 ANTHROPIC_API_KEY=
 ANTHROPIC_ENDPOINT=https://api.anthropic.com
 
+MINIMAX_API_KEY=
+MINIMAX_OPENAI_ENDPOINT=https://api.minimax.io/v1
+MINIMAX_CN_OPENAI_ENDPOINT=https://api.minimaxi.com/v1
+MINIMAX_ANTHROPIC_ENDPOINT=https://api.minimax.io/anthropic
+MINIMAX_CN_ANTHROPIC_ENDPOINT=https://api.minimaxi.com/anthropic
+
 GOOGLE_API_KEY=
 
 AZURE_OPENAI_ENDPOINT=
diff --git a/docker-compose.yml b/docker-compose.yml
index 97fdd2c43..2b6612267 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -18,6 +18,11 @@ services:
       - OPENAI_API_KEY=${OPENAI_API_KEY:-}
       - ANTHROPIC_ENDPOINT=${ANTHROPIC_ENDPOINT:-https://api.anthropic.com}
       - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
+      - MINIMAX_API_KEY=${MINIMAX_API_KEY:-}
+      - MINIMAX_OPENAI_ENDPOINT=${MINIMAX_OPENAI_ENDPOINT:-https://api.minimax.io/v1}
+      - MINIMAX_CN_OPENAI_ENDPOINT=${MINIMAX_CN_OPENAI_ENDPOINT:-https://api.minimaxi.com/v1}
+      - MINIMAX_ANTHROPIC_ENDPOINT=${MINIMAX_ANTHROPIC_ENDPOINT:-https://api.minimax.io/anthropic}
+      - MINIMAX_CN_ANTHROPIC_ENDPOINT=${MINIMAX_CN_ANTHROPIC_ENDPOINT:-https://api.minimaxi.com/anthropic}
       - GOOGLE_API_KEY=${GOOGLE_API_KEY:-}
       - AZURE_OPENAI_ENDPOINT=${AZURE_OPENAI_ENDPOINT:-}
       - AZURE_OPENAI_API_KEY=${AZURE_OPENAI_API_KEY:-}
diff --git a/src/utils/config.py b/src/utils/config.py
index de82bb9e9..36c718cdf 100644
--- a/src/utils/config.py
+++ b/src/utils/config.py
@@ -1,3 +1,28 @@
+MINIMAX_MODELS = ["MiniMax-M3", "MiniMax-M2.7"]
+
+MINIMAX_PROVIDER_CONFIGS = {
+    "minimax": {
+        "protocol": "openai",
+        "endpoint_env": "MINIMAX_OPENAI_ENDPOINT",
+        "base_url": "https://api.minimax.io/v1",
+    },
+    "minimax_cn": {
+        "protocol": "openai",
+        "endpoint_env": "MINIMAX_CN_OPENAI_ENDPOINT",
+        "base_url": "https://api.minimaxi.com/v1",
+    },
+    "minimax_anthropic": {
+        "protocol": "anthropic",
+        "endpoint_env": "MINIMAX_ANTHROPIC_ENDPOINT",
+        "base_url": "https://api.minimax.io/anthropic",
+    },
+    "minimax_anthropic_cn": {
+        "protocol": "anthropic",
+        "endpoint_env": "MINIMAX_CN_ANTHROPIC_ENDPOINT",
+        "base_url": "https://api.minimaxi.com/anthropic",
+    },
+}
+
 PROVIDER_DISPLAY_NAMES = {
     "openai": "OpenAI",
     "azure_openai": "Azure OpenAI",
@@ -9,12 +34,20 @@
     "unbound": "Unbound AI",
     "ibm": "IBM",
     "grok": "Grok",
+    "minimax": "MiniMax (Global, OpenAI-compatible)",
+    "minimax_cn": "MiniMax (China, OpenAI-compatible)",
+    "minimax_anthropic": "MiniMax (Global, Anthropic-compatible)",
+    "minimax_anthropic_cn": "MiniMax (China, Anthropic-compatible)",
 }
 
 # Predefined model names for common providers
 model_names = {
     "anthropic": ["claude-3-5-sonnet-20241022", "claude-3-5-sonnet-20240620", "claude-3-opus-20240229"],
     "openai": ["gpt-4o", "gpt-4", "gpt-3.5-turbo", "o3-mini"],
+    "minimax": MINIMAX_MODELS,
+    "minimax_cn": MINIMAX_MODELS,
+    "minimax_anthropic": MINIMAX_MODELS,
+    "minimax_anthropic_cn": MINIMAX_MODELS,
     "deepseek": ["deepseek-chat", "deepseek-reasoner"],
     "google": ["gemini-2.0-flash", "gemini-2.0-flash-thinking-exp", "gemini-1.5-flash-latest",
                "gemini-1.5-flash-8b-latest", "gemini-2.0-flash-thinking-exp-01-21", "gemini-2.0-pro-exp-02-05",
diff --git a/src/utils/llm_provider.py b/src/utils/llm_provider.py
index 2ef3d6382..75d11c8df 100644
--- a/src/utils/llm_provider.py
+++ b/src/utils/llm_provider.py
@@ -156,8 +156,10 @@ def get_llm_model(provider: str, **kwargs):
     :param kwargs:
     :return:
     """
+    provider_config = config.MINIMAX_PROVIDER_CONFIGS.get(provider)
+
     if provider not in ["ollama", "bedrock"]:
-        env_var = f"{provider.upper()}_API_KEY"
+        env_var = "MINIMAX_API_KEY" if provider_config else f"{provider.upper()}_API_KEY"
         api_key = kwargs.get("api_key", "") or os.getenv(env_var, "")
         if not api_key:
             provider_display = config.PROVIDER_DISPLAY_NAMES.get(provider, provider.upper())
@@ -165,7 +167,27 @@ def get_llm_model(provider: str, **kwargs):
             raise ValueError(error_msg)
         kwargs["api_key"] = api_key
 
-    if provider == "anthropic":
+    if provider_config:
+        base_url = kwargs.get("base_url", "") or os.getenv(
+            provider_config["endpoint_env"], provider_config["base_url"]
+        )
+        model_name = kwargs.get("model_name", config.MINIMAX_MODELS[0])
+
+        if provider_config["protocol"] == "anthropic":
+            return ChatAnthropic(
+                model=model_name,
+                temperature=kwargs.get("temperature", 0.0),
+                base_url=base_url,
+                api_key=api_key,
+            )
+
+        return ChatOpenAI(
+            model=model_name,
+            temperature=kwargs.get("temperature", 0.0),
+            base_url=base_url,
+            api_key=api_key,
+        )
+    elif provider == "anthropic":
         if not kwargs.get("base_url", ""):
             base_url = "https://api.anthropic.com"
         else:
diff --git a/tests/test_minimax_provider.py b/tests/test_minimax_provider.py
new file mode 100644
index 000000000..70ddba8e5
--- /dev/null
+++ b/tests/test_minimax_provider.py
@@ -0,0 +1,107 @@
+import httpx
+import pytest
+
+from src.utils import config, llm_provider
+
+
+EXPECTED_MODELS = ["MiniMax-M3", "MiniMax-M2.7"]
+
+
+@pytest.mark.parametrize("provider", config.MINIMAX_PROVIDER_CONFIGS)
+def test_minimax_models_are_registered(provider):
+    assert config.model_names[provider] == EXPECTED_MODELS
+
+
+@pytest.mark.parametrize(
+    ("provider", "expected_adapter", "expected_base_url"),
+    [
+        ("minimax", "openai", "https://api.minimax.io/v1"),
+        ("minimax_cn", "openai", "https://api.minimaxi.com/v1"),
+        ("minimax_anthropic", "anthropic", "https://api.minimax.io/anthropic"),
+        ("minimax_anthropic_cn", "anthropic", "https://api.minimaxi.com/anthropic"),
+    ],
+)
+def test_minimax_provider_uses_configured_adapter_and_endpoint(
+    monkeypatch, provider, expected_adapter, expected_base_url
+):
+    created = {}
+
+    def fake_openai(**kwargs):
+        created.update(adapter="openai", kwargs=kwargs)
+        return object()
+
+    def fake_anthropic(**kwargs):
+        created.update(adapter="anthropic", kwargs=kwargs)
+        return object()
+
+    provider_config = config.MINIMAX_PROVIDER_CONFIGS[provider]
+    monkeypatch.setattr(llm_provider, "ChatOpenAI", fake_openai)
+    monkeypatch.setattr(llm_provider, "ChatAnthropic", fake_anthropic)
+    monkeypatch.setenv("MINIMAX_API_KEY", "unit-test-key")
+    monkeypatch.delenv(provider_config["endpoint_env"], raising=False)
+
+    llm_provider.get_llm_model(provider=provider, model_name=EXPECTED_MODELS[0])
+
+    assert created["adapter"] == expected_adapter
+    assert created["kwargs"]["model"] == EXPECTED_MODELS[0]
+    assert created["kwargs"]["base_url"] == expected_base_url
+    assert created["kwargs"]["api_key"] == "unit-test-key"
+
+
+def test_minimax_clients_append_expected_request_paths(monkeypatch):
+    captured_urls = []
+
+    def fake_send(self, request, *args, **kwargs):
+        captured_urls.append(str(request.url))
+        if request.url.path.endswith("/chat/completions"):
+            payload = {
+                "id": "chatcmpl-test",
+                "object": "chat.completion",
+                "created": 0,
+                "model": EXPECTED_MODELS[0],
+                "choices": [
+                    {
+                        "index": 0,
+                        "message": {"role": "assistant", "content": "ok"},
+                        "finish_reason": "stop",
+                    }
+                ],
+                "usage": {
+                    "prompt_tokens": 1,
+                    "completion_tokens": 1,
+                    "total_tokens": 2,
+                },
+            }
+        else:
+            payload = {
+                "id": "msg_test",
+                "type": "message",
+                "role": "assistant",
+                "model": EXPECTED_MODELS[0],
+                "content": [{"type": "text", "text": "ok"}],
+                "stop_reason": "end_turn",
+                "stop_sequence": None,
+                "usage": {"input_tokens": 1, "output_tokens": 1},
+            }
+        return httpx.Response(200, json=payload, request=request)
+
+    monkeypatch.setattr(httpx.Client, "send", fake_send)
+    expected_urls = {
+        "minimax": "https://api.minimax.io/v1/chat/completions",
+        "minimax_cn": "https://api.minimaxi.com/v1/chat/completions",
+        "minimax_anthropic": "https://api.minimax.io/anthropic/v1/messages",
+        "minimax_anthropic_cn": "https://api.minimaxi.com/anthropic/v1/messages",
+    }
+
+    for provider, expected_url in expected_urls.items():
+        captured_urls.clear()
+        model = llm_provider.get_llm_model(
+            provider=provider,
+            model_name=EXPECTED_MODELS[0],
+            api_key="unit-test-key",
+            temperature=0.0,
+        )
+
+        model.invoke("hello")
+
+        assert captured_urls == [expected_url]