MiniMax M1 from MiniMax is a hybrid-attention reasoning model for long context, tool use, software engineering, and efficient RL.
Capabilities, design details, and architectural traits
MiniMax M1 is built around hybrid attention and long-context reasoning. Its documented identity is a reasoning model with a large context window, long reasoning output, and agent and software engineering use cases.
| Distinctive trait | What is explicitly documented |
|---|---|
| Hybrid-attention design | The model uses a proprietary hybrid-attention setup with Lightning Attention. |
| Long-context reasoning | It supports a 1 million token context window and 80k token reasoning output. |
| CISPO reinforcement learning | The announcement names CISPO as the RL algorithm used to improve training efficiency. |
| Tool and software focus | The model is described as strong in software engineering, long context, and tool use. |
The key idea is not generic chat. The model is presented as a reasoning system that combines long input handling with efficient inference on deep context.
The release also names CISPO as a faster reinforcement learning method. The model is described as using this with Lightning Attention to improve efficiency in training and inference.
Independent evaluations · Artificial Analysis
Evaluate specifications, pricing, and independent benchmark indices
| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | MiniMax | Anthropic | Anthropic |
| Release Date | June 17, 2025 | July 24, 2026 | June 9, 2026 |
| Knowledge Cutoff | Jun 2024 | May 2026 | - |
| Context & Limits | |||
| Context Window | 1M | 1M | 1M |
| Pricing (per 1M tokens) | |||
| Input Pricing | $0.55 Best Input Pricing | $5 | $10 |
| Output Pricing | $2.20 Best Output Pricing | $25 | $50 |
| Modalities | |||
| Inputs | text | textimage | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 17.9 | 63.1 Best Intelligence Index | 62.1 |
| Coding Index | - | 78.0 Best Coding Index | 76.5 |
| Agentic Index | - | 59.2 Best Agentic Index | 56.6 |
Graduate-level reasoning and expert Q&A evaluation.
Extremely difficult logical reasoning and knowledge.
Logical reasoning over long context windows.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
