diff --git a/README.md b/README.md
index 4e15448a..6a1d6d20 100644
--- a/README.md
+++ b/README.md
@@ -105,6 +105,12 @@ const llms: LLMs = {
     config: {
       baseURL: "https://ark.cn-beijing.volces.com/api/v3"  // Volcengine endpoint
     }
+  },
+  // MiniMax
+  minimax: {
+    provider: "minimax",
+    model: "MiniMax-M2.7",  // or MiniMax-M2.5, MiniMax-M2.5-highspeed
+    apiKey: "your-minimax-api-key"
   }
 
 };
diff --git a/packages/eko-core/src/llm/rlm.ts b/packages/eko-core/src/llm/rlm.ts
index ef42eb67..cb1a43a4 100644
--- a/packages/eko-core/src/llm/rlm.ts
+++ b/packages/eko-core/src/llm/rlm.ts
@@ -358,6 +358,14 @@ export class RetryLanguageModel {
         fetch: llm.fetch,
         headers: llm.config?.headers,
       }).languageModel(llm.model);
+    } else if (llm.provider == "minimax") {
+      return createOpenAICompatible({
+        name: llm.config?.name || "minimax",
+        apiKey: apiKey,
+        baseURL: baseURL || "https://api.minimax.io/v1",
+        fetch: llm.fetch,
+        headers: llm.config?.headers,
+      }).languageModel(llm.model);
     } else {
       return llm.provider.languageModel(llm.model);
     }
diff --git a/packages/eko-core/src/types/llm.types.ts b/packages/eko-core/src/types/llm.types.ts
index f38a8fe8..29ed1b23 100644
--- a/packages/eko-core/src/types/llm.types.ts
+++ b/packages/eko-core/src/types/llm.types.ts
@@ -30,6 +30,7 @@ export type LLMprovider =
   | "openrouter"
   | "openai-compatible"
   | "modelscope"
+  | "minimax"
   | ProviderV2;
 
 export type LLMConfig = {
diff --git a/packages/eko-core/test/llm/minimax.test.ts b/packages/eko-core/test/llm/minimax.test.ts
new file mode 100644
index 00000000..49ba17e8
--- /dev/null
+++ b/packages/eko-core/test/llm/minimax.test.ts
@@ -0,0 +1,272 @@
+/**
+ * MiniMax LLM Provider Tests
+ *
+ * Unit tests verify configuration, type integration, and model creation.
+ * Integration tests require MINIMAX_API_KEY and a Node.js environment with
+ * full Web API support (fetch, Headers, TransformStream). Run them with
+ * Node 20+ outside of Jest if the test runner sandbox lacks these globals.
+ */
+import dotenv from "dotenv";
+import type { LLMs } from "../../src/types/llm.types";
+
+dotenv.config();
+
+const apiKey = process.env.MINIMAX_API_KEY;
+
+// ─── Unit Tests (no API calls) ──────────────────────────────────────────────
+
+describe("MiniMax provider unit tests", () => {
+  test("LLMprovider type accepts 'minimax'", () => {
+    const llms: LLMs = {
+      default: {
+        provider: "minimax",
+        model: "MiniMax-M2.7",
+        apiKey: "test-key",
+      },
+    };
+    expect(llms.default.provider).toBe("minimax");
+  });
+
+  test("MiniMax config with custom baseURL", () => {
+    const llms: LLMs = {
+      default: {
+        provider: "minimax",
+        model: "MiniMax-M2.5",
+        apiKey: "test-key",
+        config: {
+          baseURL: "https://custom-proxy.example.com/v1",
+        },
+      },
+    };
+    expect(llms.default.config?.baseURL).toBe(
+      "https://custom-proxy.example.com/v1"
+    );
+  });
+
+  test("MiniMax config with async apiKey", async () => {
+    const asyncKey = async () => "async-test-key";
+    const llms: LLMs = {
+      default: {
+        provider: "minimax",
+        model: "MiniMax-M2.7",
+        apiKey: asyncKey,
+      },
+    };
+    expect(typeof llms.default.apiKey).toBe("function");
+    const key = await (llms.default.apiKey as () => Promise<string>)();
+    expect(key).toBe("async-test-key");
+  });
+
+  test("MiniMax provider with custom headers", () => {
+    const llms: LLMs = {
+      default: {
+        provider: "minimax",
+        model: "MiniMax-M2.7",
+        apiKey: "test-key",
+        config: {
+          headers: { "X-Custom-Header": "value" },
+        },
+      },
+    };
+    expect(llms.default.config?.headers).toEqual({
+      "X-Custom-Header": "value",
+    });
+  });
+
+  test("MiniMax provider with custom name in config", () => {
+    const llms: LLMs = {
+      default: {
+        provider: "minimax",
+        model: "MiniMax-M2.7",
+        apiKey: "test-key",
+        config: {
+          name: "my-minimax",
+        },
+      },
+    };
+    expect(llms.default.config?.name).toBe("my-minimax");
+  });
+
+  test("MiniMax provider with options for providerOptions passthrough", () => {
+    const llms: LLMs = {
+      default: {
+        provider: "minimax",
+        model: "MiniMax-M2.7",
+        apiKey: "test-key",
+        options: {
+          temperature: 0.5,
+        },
+      },
+    };
+    expect(llms.default.options?.temperature).toBe(0.5);
+  });
+
+  test("MiniMax M2.7 and M2.5-highspeed model configs", () => {
+    const llms: LLMs = {
+      default: {
+        provider: "minimax",
+        model: "MiniMax-M2.7",
+        apiKey: "test-key",
+      },
+      fast: {
+        provider: "minimax",
+        model: "MiniMax-M2.5-highspeed",
+        apiKey: "test-key",
+      },
+    };
+    expect(llms.default.model).toBe("MiniMax-M2.7");
+    expect(llms.fast.model).toBe("MiniMax-M2.5-highspeed");
+  });
+
+  test("MiniMax provider alongside other providers", () => {
+    const llms: LLMs = {
+      default: {
+        provider: "openai",
+        model: "gpt-5",
+        apiKey: "openai-key",
+      },
+      minimax: {
+        provider: "minimax",
+        model: "MiniMax-M2.7",
+        apiKey: "minimax-key",
+      },
+      claude: {
+        provider: "anthropic",
+        model: "claude-sonnet-4-5-20250929",
+        apiKey: "anthropic-key",
+      },
+    };
+    expect(llms.default.provider).toBe("openai");
+    expect(llms.minimax.provider).toBe("minimax");
+    expect(llms.claude.provider).toBe("anthropic");
+  });
+});
+
+// ─── Integration Tests (require MINIMAX_API_KEY + Node.js with Web APIs) ────
+// These tests call the real MiniMax API and require:
+// 1. MINIMAX_API_KEY environment variable
+// 2. Node.js 18+ with global fetch/Headers (run with: node --test or tsx)
+//
+// Note: Jest's test environment may not expose all Web APIs (fetch, Headers)
+// needed by @ai-sdk/openai-compatible, so integration tests are skipped in Jest.
+
+const hasWebAPIs =
+  typeof globalThis.fetch === "function" &&
+  typeof globalThis.Headers === "function";
+
+const describeIntegration = apiKey && hasWebAPIs ? describe : describe.skip;
+
+describeIntegration("MiniMax provider integration tests", () => {
+  let RetryLanguageModel: any;
+  const llms: LLMs = {
+    default: {
+      provider: "minimax",
+      model: "MiniMax-M2.5-highspeed",
+      apiKey: apiKey!,
+    },
+  };
+
+  beforeAll(async () => {
+    const mod = await import("../../src/llm");
+    RetryLanguageModel = mod.RetryLanguageModel;
+  });
+
+  test("MiniMax non-streaming generate", async () => {
+    const rlm = new RetryLanguageModel(llms);
+    const result = await rlm.call({
+      messages: [
+        {
+          role: "user",
+          content: [{ type: "text", text: "Say hello in one word." }],
+        },
+      ],
+      maxOutputTokens: 64,
+      temperature: 0.1,
+    });
+
+    expect(result).toBeDefined();
+    expect(result.text).toBeDefined();
+    expect(result.text!.length).toBeGreaterThan(0);
+    expect(result.finishReason).toBe("stop");
+    expect(result.llm).toBe("default");
+    expect(result.llmConfig.provider).toBe("minimax");
+  }, 30000);
+
+  test("MiniMax streaming generate", async () => {
+    const rlm = new RetryLanguageModel(llms);
+    const result = await rlm.callStream({
+      messages: [
+        {
+          role: "user",
+          content: [{ type: "text", text: "Say hi in one word." }],
+        },
+      ],
+      maxOutputTokens: 64,
+      temperature: 0.1,
+    });
+
+    expect(result).toBeDefined();
+    expect(result.stream).toBeDefined();
+
+    const reader = result.stream.getReader();
+    let text = "";
+    try {
+      while (true) {
+        const { done, value } = await reader.read();
+        if (done) break;
+        if (value.type === "text-delta") {
+          text += value.delta;
+        }
+      }
+    } finally {
+      reader.releaseLock();
+    }
+
+    expect(text.length).toBeGreaterThan(0);
+    expect(result.llm).toBe("default");
+  }, 30000);
+
+  test("MiniMax with tool calling", async () => {
+    const rlm = new RetryLanguageModel(llms);
+    const result = await rlm.call({
+      tools: [
+        {
+          type: "function",
+          name: "get_weather",
+          description: "Get weather for a city",
+          inputSchema: {
+            type: "object",
+            properties: {
+              city: {
+                type: "string",
+                description: "City name",
+              },
+            },
+            required: ["city"],
+          },
+        },
+      ],
+      toolChoice: { type: "auto" },
+      messages: [
+        {
+          role: "user",
+          content: [
+            { type: "text", text: "What is the weather in Tokyo?" },
+          ],
+        },
+      ],
+      maxOutputTokens: 256,
+      temperature: 0.1,
+    });
+
+    expect(result).toBeDefined();
+    const toolCall = result.content.find(
+      (c: any) => c.type === "tool-call"
+    );
+    expect(toolCall).toBeDefined();
+    if (toolCall && toolCall.type === "tool-call") {
+      expect(toolCall.toolName).toBe("get_weather");
+      expect(toolCall.input).toHaveProperty("city");
+    }
+  }, 30000);
+});