MiniMax: MiniMax M2.7
Analysis Summary
MiniMax: MiniMax M2.7 sits in the Professional tier on our leaderboard, ranked #29 of 556 published models on overall intelligence. At $0.279 input and $1.20 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use and function calling.
Editorial notes
MiniMax M2.7 reaches an intelligence index of 49.6 with strong instruction following, tool use, function calling, and a 196K context at $0.26 input per million tokens, making it a competitive value option.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does MiniMax: MiniMax M2.7 stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
minimax/minimax-m2.7
|
| Provider | minimax |
| Release Date | March 18, 2026 |
| Context Length | 204,800 tokens |
| Max Completion | 131,072 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.28 | $0.000279 |
| Output | $1.20 | $0.001200 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
