MiniMax: MiniMax M2.1
Analysis Summary
MiniMax M2.1 is a capable mid-to-upper-tier model from MiniMax with an intelligence index placing it in the very strong range. Its math performance is exceptional, and it pairs solid agentic capability with tool use and function calling support across a 200K context window.
For businesses, M2.1 suits analytical workloads, structured content generation, and automated pipelines where math or logic reasoning is central. Its coding capability is more limited relative to its reasoning strength, so it is less suited to software engineering tasks. Long-context document analysis is viable given the 200K window.
At under $1 per million output tokens, it offers strong price-performance for reasoning-heavy tasks. Teams needing a cost-effective model for content, analysis, or tool-augmented workflows will find it a practical fit.
Assessed June 6, 2026
Editorial notes
MiniMax M2.1 delivers strong reasoning and math performance with tool use and function calling at competitive pricing, though its coding index sits below the top tier.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How MiniMax: MiniMax M2.1 compares
MiniMax: MiniMax M2.1 ranks #62 of 377 AI models we track for overall intelligence, #81 of 314 for coding, #64 of 289 for agentic tasks. Its 205K-token context window is larger than 68% of the models we list. At $0.29 per million input tokens it is cheaper than 43% of comparable models.
About MiniMax: MiniMax M2.1
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 | 204,800 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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Frequently asked questions about MiniMax: MiniMax M2.1
How much does MiniMax: MiniMax M2.1 cost?
MiniMax: MiniMax M2.1 costs $0.29 per million input tokens and $0.95 per million output tokens.
What is the context window of MiniMax: MiniMax M2.1?
MiniMax: MiniMax M2.1 has a context window of 204,800 tokens (205K).
Is MiniMax: MiniMax M2.1 good for coding?
On our coding benchmark index, MiniMax: MiniMax M2.1 ranks #81 of 314 models, placing it in the broader range of the field for code generation and debugging.
What can MiniMax: MiniMax M2.1 do?
MiniMax: MiniMax M2.1 supports tool use and function calling.
Who created MiniMax: MiniMax M2.1?
MiniMax: MiniMax M2.1 is developed by MiniMax and was released on December 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 9, 2026 9:57 pm