Superseded (verified 2026-09-30)
M1 (June 2025) is two generations old. MiniMax’s current open-weight line is M2.x and minimax-m3 (2026).
MiniMax M1
MiniMax’s first open-weight reasoning model, released June 2025 during its “MiniMaxWeek”.
Specifications (Hugging Face card, M1-80k)
- Parameters: 456B total / 45.9B active per token (hybrid MoE)
- Context: native 1M tokens, with “lightning attention”
- Licence: Apache 2.0 (earlier note only said “open-weight”)
- Reported results: SWE-bench Verified 56.0%; OpenAI-MRCR at 1M tokens 56.2%. The card says it outperforms the original DeepSeek-R1 and Qwen3-235B on software engineering, tool use and long-context tasks (vendor claim).
- Serving: vLLM 0.9.2+ recommended
Claims carried over, unverified this session
- “75% less compute than DeepSeek R1” and the CISPO training method (half the training steps of comparable approaches) come from MiniMax’s launch material; not re-checked.
See also
- MiniMax-Text-01, MiniMax M2.x, minimax-m3
- MiniMax-VL-01, MiniMax Speech-02
Sources
- https://huggingface.co/MiniMaxAI/MiniMax-M1-80k (accessed 2026-09-30)