MiniMax: MiniMax M2.7
Analysis Summary
MiniMax: MiniMax M2.7 sits in the Professional tier on our leaderboard, ranked #29 of 525 published models on overall intelligence. At $0.300 input and $1.20 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 M2.7 is a high-performing model with near-top-tier reasoning, strong instruction-following, and competitive pricing at $0.30/$1.20 per million tokens — though businesses should factor in that MiniMax has more limited Western support infrastructure compared to established providers.
Assessed April 23, 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 | 196,608 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.30 | $0.000300 |
| Output | $1.20 | $0.001200 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
