--- summary: "Use MiniMax M2.1 in Clawdbot" read_when: - You want MiniMax models in Clawdbot - You need MiniMax setup guidance --- # 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](https://www.minimax.io/news/minimax-m21) ## 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** ```json5 { 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`: ```json5 { 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: 1) Run `clawdbot configure`. 2) Select **Model/auth**. 3) Choose **MiniMax M2.1**. 4) 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/`. - Update pricing values in `models.json` if you need exact cost tracking. - See [/concepts/model-providers](/concepts/model-providers) for provider rules. - Use `clawdbot models list` and `clawdbot models set minimax/MiniMax-M2.1` to switch.