MiniMax: MiniMax M2.1
Analysis Summary
MiniMax: MiniMax M2.1 sits in the Professional tier on our leaderboard, ranked #56 of 525 published models on overall intelligence. At $0.290 input and $0.950 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports tool use and function calling.
Editorial notes
MiniMax M2.1 is a strong mid-to-upper-tier model with solid reasoning, coding, and agentic scores, excellent instruction-following, and competitive pricing — a capable and cost-effective option for businesses needing reliable general-purpose AI. A -4 point regional accessibility adjustment has been applied.
Assessed April 16, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does MiniMax: MiniMax M2.1 stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
minimax/minimax-m2.1
|
| Provider | minimax |
| Release Date | December 23, 2025 |
| Context Length | 196,608 tokens |
| Max Completion | 196,608 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.29 | $0.000290 |
| Output | $0.95 | $0.000950 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 25, 2026 8:38 pm