The largest context window among open-source models — 1 million tokens. Powerful reasoning. Open source. All free.
From universal chat to video generation — MiniMax covers every use case.
Innovative architecture, record context window, and open source — MiniMax is changing the game.
Hybrid architecture: linear and standard attention. Processes millions of tokens without quality degradation.
Same context as GPT-5.5 and DeepSeek V4, but with far fewer compute resources. Process entire books, codebases, and long agentic tasks.
MiniMax M1 is fully open. Run locally, study the architecture, and customize for your tasks.
World-class video quality from text or images. Hailuo 02: 1080p, physics simulation, detail rendering.
M1 supports up to 80,000 reasoning tokens. Complex math, code, scientific analysis — with step-by-step explanations.
M1 was trained for $534,700 over 3 weeks. Fewer resources, better results — MiniMax outpaces its competitors.
Objective data on key parameters. May 2026.
| Parameter | MiniMax M1 | DeepSeek V4 | GPT-5.5 |
|---|---|---|---|
| Context window | 1 000 000 | 1 000 000 | 1 050 000 |
| Reasoning tokens | 80 000 | — | — |
| Open source | ✓ | ✓ | ✗ |
| MATH-500 | ~97% | 96.8% | 96.4% |
| Training cost | $534K | ~$6M | ~$100M+ |
MiniMax is a Shanghai-based AI company founded in December 2021 by former SenseTime researchers. In January 2026, the company listed on the Hong Kong Stock Exchange, confirming its strong position in the global AI market.
MiniMax competes with DeepSeek, Zhipu AI, and Moonshot AI, challenging Western leaders — OpenAI and Anthropic. The flagship model M1 was trained for just $534,700, far cheaper than competitors while delivering comparable or better quality.
Free. No registration. Choose M1 for complex tasks or M2.7 for everyday use.