MiniMax: MiniMax M1
Analysis Summary
MiniMax M1, released in June 2025, is a large-context model with a 1 million token window, tool use, and function calling. Its intelligence index of 20.9 and coding index of 14.1 place it in the lower-good tier, and its LiveCodeBench score of 0.657 is strong for the class. Long-context reasoning (LCR 0.517) is a genuine strength, making it well suited to document-heavy workflows. MMLU-Pro at 0.808 confirms broad knowledge coverage.
For businesses, M1 is a practical choice for long-document analysis, extended conversation management, and structured content generation. The 1M context window is a meaningful differentiator for teams working with large knowledge bases or lengthy reports. No vision support limits multimodal use cases, and the agentic index of 16.9 is modest for complex autonomous pipelines.
At $0.40 input and $2.20 output per million tokens, pricing is moderate rather than budget-friendly. The -4 point regional penalty applies for provider accessibility. Teams prioritising long-context capability with tool use at a mid-range price will find it a functional option.
Assessed June 9, 2026
Editorial notes
MiniMax M1 offers a 1M token context window, tool use, strong coding benchmarks, and broad general capability, though pricing is moderate and vision is absent.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How MiniMax: MiniMax M1 compares
MiniMax: MiniMax M1 ranks #169 of 377 AI models we track for overall intelligence, #192 of 314 for coding, #198 of 289 for agentic tasks. Its 1M-token context window is larger than 91% of the models we list. At $0.40 per million input tokens it is cheaper than 39% of comparable models.
About MiniMax: MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does MiniMax: MiniMax M1 stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
minimax/minimax-m1
|
| Provider | minimax |
| Release Date | June 17, 2025 |
| Context Length | 1,000,000 tokens |
| Max Completion | 40,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.40 | $0.000400 |
| Output | $2.20 | $0.002200 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about MiniMax: MiniMax M1
How much does MiniMax: MiniMax M1 cost?
MiniMax: MiniMax M1 costs $0.40 per million input tokens and $2.20 per million output tokens.
What is the context window of MiniMax: MiniMax M1?
MiniMax: MiniMax M1 has a context window of 1,000,000 tokens (1M).
Is MiniMax: MiniMax M1 good for coding?
On our coding benchmark index, MiniMax: MiniMax M1 ranks #192 of 314 models, placing it in the broader range of the field for code generation and debugging.
What can MiniMax: MiniMax M1 do?
MiniMax: MiniMax M1 supports tool use and function calling.
Who created MiniMax: MiniMax M1?
MiniMax: MiniMax M1 is developed by MiniMax and was released on June 17, 2025.
