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---
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summary: "Use MiniMax M2.1 in OpenClaw"
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read_when:
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- You want MiniMax models in OpenClaw
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- You need MiniMax setup guidance
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---
# 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.
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## MiniMax M2.1 vs MiniMax M2.1 Lightning
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- **Speed:** Lightning is the “fast” variant in MiniMax’ s pricing docs.
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- **Cost:** Pricing shows the same input cost, but Lightning has higher output cost.
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- **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.
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## Choose a setup
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### MiniMax OAuth (Coding Plan) — recommended
**Best for:** quick setup with MiniMax Coding Plan via OAuth, no API key required.
Enable the bundled OAuth plugin and authenticate:
```bash
moltbot plugins enable minimax-portal-auth # skip if already loaded.
moltbot gateway restart # restart if gateway is already running
moltbot onboard --auth-choice minimax-portal
```
You will be prompted to select an endpoint:
- **Global** - International users (`api.minimax.io` )
- **CN** - Users in China (`api.minimaxi.com` )
See [MiniMax OAuth plugin README ](https://github.com/moltbot/moltbot/tree/main/extensions/minimax-portal-auth ) for details.
### MiniMax M2.1 (API key)
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**Best for:** hosted MiniMax with Anthropic-compatible API.
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Configure via CLI:
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- Run `openclaw configure`
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- Select **Model/auth**
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- Choose **MiniMax M2.1**
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```json5
{
env: { MINIMAX_API_KEY: "sk-..." },
agents: { defaults: { model: { primary: "minimax/MiniMax-M2.1" } } },
models: {
mode: "merge",
providers: {
minimax: {
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baseUrl: "https://api.minimax.io/anthropic",
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apiKey: "${MINIMAX_API_KEY}",
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api: "anthropic-messages",
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models: [
{
id: "MiniMax-M2.1",
name: "MiniMax M2.1",
reasoning: false,
input: ["text"],
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cost: { input: 15, output: 60, cacheRead: 2, cacheWrite: 10 },
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contextWindow: 200000,
maxTokens: 8192
}
]
}
}
}
}
```
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### MiniMax M2.1 as fallback (Opus primary)
**Best for:** keep Opus 4.5 as primary, fail over to MiniMax M2.1.
```json5
{
env: { MINIMAX_API_KEY: "sk-..." },
agents: {
defaults: {
models: {
"anthropic/claude-opus-4-5": { alias: "opus" },
"minimax/MiniMax-M2.1": { alias: "minimax" }
},
model: {
primary: "anthropic/claude-opus-4-5",
fallbacks: ["minimax/MiniMax-M2.1"]
}
}
}
}
```
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### 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.
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Configure manually via `openclaw.json` :
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```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
}
]
}
}
}
}
```
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## Configure via `openclaw configure`
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Use the interactive config wizard to set MiniMax without editing JSON:
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1) Run `openclaw configure` .
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2) Select **Model/auth** .
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3) Choose **MiniMax M2.1** .
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4) Pick your default model when prompted.
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## Configuration options
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- `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.
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- `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
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- Model refs are `minimax/<model>` .
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- Coding Plan usage API: `https://api.minimaxi.com/v1/api/openplatform/coding_plan/remains` (requires a coding plan key).
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- Update pricing values in `models.json` if you need exact cost tracking.
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- Referral link for MiniMax Coding Plan (10% off): https://platform.minimax.io/subscribe/coding-plan?code=DbXJTRClnb& source=link
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- See [/concepts/model-providers ](/concepts/model-providers ) for provider rules.
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- Use `openclaw models list` and `openclaw models set minimax/MiniMax-M2.1` to switch.
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## Troubleshooting
### “Unknown model: minimax/MiniMax-M2.1”
This usually means the **MiniMax provider isn’ t configured** (no provider entry
and no MiniMax auth profile/env key found). A fix for this detection is in
**2026.1.12** (unreleased at the time of writing). Fix by:
- Upgrading to **2026.1.12** (or run from source `main` ), then restarting the gateway.
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- Running `openclaw configure` and selecting **MiniMax M2.1** , or
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- Adding the `models.providers.minimax` block manually, or
- Setting `MINIMAX_API_KEY` (or a MiniMax auth profile) so the provider can be injected.
Make sure the model id is **case‑ sensitive** :
- `minimax/MiniMax-M2.1`
- `minimax/MiniMax-M2.1-lightning`
Then recheck with:
```bash
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openclaw models list
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```