MiniMax: MiniMax M2
Analysis Summary
MiniMax M2 is a strong mid-tier model with an intelligence index of 28.3 and standout coding performance, including a LiveCodeBench score of 0.826 and TerminalBench Hard of 0.258. Its agentic index of 56.3 and TAU2 score of 0.868 confirm reliable multi-step task execution, and tool use plus function calling round out its technical profile.
For businesses, M2 suits autonomous coding agents, structured data pipelines, and long-document workflows up to 204K tokens. Instruction following is strong (IFBench 0.723) and long-context reasoning (LCR 0.61) is above average, making it viable for contract analysis or report generation alongside technical tasks.
Pricing at $0.255 input and $1.00 output is moderate. Teams needing a capable coding and agentic model without paying frontier prices will find M2 competitive, though the provider's enterprise support footprint is smaller than Anthropic or OpenAI, which may factor into procurement decisions.
Assessed June 30, 2026
Editorial notes
MiniMax M2 delivers strong coding and agentic performance with a 204K context window, tool use, and function calling at competitive pricing, making it a capable mid-tier model for technical business workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How MiniMax: MiniMax M2 compares
MiniMax: MiniMax M2 ranks #90 of 385 AI models we track for overall intelligence, #74 of 293 for agentic tasks. Its 205K-token context window is larger than 67% of the models we list. At $0.26 per million input tokens it is cheaper than 46% of comparable models.
About MiniMax: MiniMax M2
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 professional models.
Model Information
| OpenRouter ID |
minimax/minimax-m2
|
| Provider | minimax |
| Release Date | October 23, 2025 |
| Context Length | 204,800 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.
External Resources
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Frequently asked questions about MiniMax: MiniMax M2
How much does MiniMax: MiniMax M2 cost?
MiniMax: MiniMax M2 costs $0.26 per million input tokens and $1.00 per million output tokens.
What is the context window of MiniMax: MiniMax M2?
MiniMax: MiniMax M2 has a context window of 204,800 tokens (205K).
What can MiniMax: MiniMax M2 do?
MiniMax: MiniMax M2 supports tool use and function calling.
Who created MiniMax: MiniMax M2?
MiniMax: MiniMax M2 is developed by MiniMax and was released on October 23, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 30, 2026 9:37 pm