MiniMax M2.1
minimax/minimax-m2.1
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development.
Key facts
- Input price
- $0.30 / 1M tokens
- Output price
- $1.20 / 1M tokens
- Context window
- 205K tokens
- Max output
- 131K tokens
- Accepts
- Text
- Returns
- Text
Example: 1,000 requests with 1,000 input and 500 output tokens each would cost about $0.90 (1M input tokens × $0.30 + 0.5M output tokens × $1.20). Estimate your own usage.
Prices are the provider’s own per-token rates with zero markup, from our price list as of Oct 18, 2026. If a call has extra provider charges (images, audio, web search, cached prompts), you pay the reported cost.
Call it from your code
curl https://api.tokenctr.com/v1/chat/completions \
-H "Authorization: Bearer $TOKENCENTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "minimax/minimax-m2.1", "messages": [{"role": "user", "content": "Hello!"}]}'Works with any OpenAI-compatible SDK: set the base URL to https://api.tokenctr.com/v1. Quickstart
Benchmarks
Artificial Analysis
- Intelligence index
- 20.9
Design Arena
| Category | Rank | Elo | Win rate |
|---|---|---|---|
| Models: UI components | 49 | 1222 | 60.9% |
| Models: Data visualization | 53 | 1208 | 57% |
| Models: SVG | 53 | 1131 | 55.4% |
| Models: Code | 59 | 1192 | 55.3% |
| Models: Websites | 59 | 1203 | 55.4% |
| Models: 3D | 61 | 1165 | 57.5% |
| Models: Game dev | 81 | 1138 | 50.4% |
Source: Artificial Analysis indexes and Design Arena results as published in OpenRouter’s model data, fetched Oct 15, 2026. Higher is better. Not measured by TokenCenter. See all rankings.