MiniMax

MiniMax is an AI company that builds the M2/M2.1 model family. The current coding-focused release is MiniMax M2.1 (December 23, 2025), built for real-world complex tasks.

Source: MiniMax M2.1 release note

Model overview (M2.1)

MiniMax highlights these improvements in M2.1:

Stronger multi-language coding (Rust, Java, Go, C++, Kotlin, Objective-C, TS/JS).
Better web/app development and aesthetic output quality (including native mobile).
Improved composite instruction handling for office-style workflows, building on interleaved thinking and integrated constraint execution.
More concise responses with lower token usage and faster iteration loops.
Stronger tool/agent framework compatibility and context management (Claude Code, Droid/Factory AI, Cline, Kilo Code, Roo Code, BlackBox).
Higher-quality dialogue and technical writing outputs.

MiniMax M2.1 vs MiniMax M2.1 Lightning

Speed: Lightning is the “fast” variant in MiniMax’s pricing docs.
Cost: Pricing shows the same input cost, but Lightning has higher output cost.
Coding plan routing: The Lightning back-end isn’t directly available on the MiniMax coding plan. MiniMax auto-routes most requests to Lightning, but falls back to the regular M2.1 back-end during traffic spikes.

Choose a setup

MiniMax M2.1 — recommended

Best for: hosted MiniMax with Anthropic-compatible API.

Configure via CLI:

Run clawdbot configure
Select Model/auth
Choose MiniMax M2.1

{
  env: { MINIMAX_API_KEY: "sk-..." },
  agents: { defaults: { model: { primary: "minimax/MiniMax-M2.1" } } },
  models: {
    mode: "merge",
    providers: {
      minimax: {
        baseUrl: "https://api.minimax.io/anthropic",
        apiKey: "${MINIMAX_API_KEY}",
        api: "anthropic-messages",
        models: [
          {
            id: "MiniMax-M2.1",
            name: "MiniMax M2.1",
            reasoning: false,
            input: ["text"],
            cost: { input: 15, output: 60, cacheRead: 2, cacheWrite: 10 },
            contextWindow: 200000,
            maxTokens: 8192
          }
        ]
      }
    }
  }
}

Optional: Local via LM Studio (manual)

Best for: local inference with LM Studio. We have seen strong results with MiniMax M2.1 on powerful hardware (e.g. a desktop/server) using LM Studio's local server.

Configure manually via clawdbot.json:

{
  agents: {
    defaults: {
      model: { primary: "lmstudio/minimax-m2.1-gs32" },
      models: { "lmstudio/minimax-m2.1-gs32": { alias: "Minimax" } }
    }
  },
  models: {
    mode: "merge",
    providers: {
      lmstudio: {
        baseUrl: "http://127.0.0.1:1234/v1",
        apiKey: "lmstudio",
        api: "openai-responses",
        models: [
          {
            id: "minimax-m2.1-gs32",
            name: "MiniMax M2.1 GS32",
            reasoning: false,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 196608,
            maxTokens: 8192
          }
        ]
      }
    }
  }
}

Configure via `clawdbot configure`

Use the interactive config wizard to set MiniMax without editing JSON:

Run clawdbot configure.
Select Model/auth.
Choose MiniMax M2.1.
Pick your default model when prompted.

Configuration options

models.providers.minimax.baseUrl: prefer https://api.minimax.io/anthropic (Anthropic-compatible); https://api.minimax.io/v1 is optional for OpenAI-compatible payloads.
models.providers.minimax.api: prefer anthropic-messages; openai-completions is optional for OpenAI-compatible payloads.
models.providers.minimax.apiKey: MiniMax API key (MINIMAX_API_KEY).
models.providers.minimax.models: define id, name, reasoning, contextWindow, maxTokens, cost.
agents.defaults.models: alias models you want in the allowlist.
models.mode: keep merge if you want to add MiniMax alongside built-ins.

Notes

Model refs are minimax/<model>.
Update pricing values in models.json if you need exact cost tracking.
See /concepts/model-providers for provider rules.
Use clawdbot models list and clawdbot models set minimax/MiniMax-M2.1 to switch.

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