MiniMax: MiniMax M2
Analysis Summary
MiniMax: MiniMax M2 sits in the Specialist tier on our leaderboard, ranked #64 of 525 published models on overall intelligence. At $0.255 input and $1.00 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 is a strong all-round model with impressive instruction-following, agentic capability, and very competitive pricing — making it one of the better value propositions in this batch. Tool use, function calling, and solid reasoning scores make it a credible choice for business automation and content workflows, though limited Western enterprise support is a consideration.
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 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does MiniMax: MiniMax M2 stack up?
Compare side-by-side with other specialist models.
Model Information
| OpenRouter ID |
minimax/minimax-m2
|
| Provider | minimax |
| Release Date | October 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 | $0.26 | $0.000255 |
| Output | $1.00 | $0.001000 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
External Resources
Explore Related Models
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