MiniMax-M2.7
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A to Z
- A · App
- Yes
- B · Built By
- MiniMax
- C · CEO & Politics
- Yan Junjie — Not publicly documented (PRC-based; operates under Chinese regulatory environment)
- D · Date
- 2026
- E · Expertise
- Beginner (app available)
- F · Free Tier
- Yes
- G · Generates
- Images, Video
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text+Image+Audio
- J · Jurisdiction
- China
- K · Key Staffers
- Zhao Pengyu (LLM Research Leader), Yun Yeyi (COO)
- L · Languages
- Chinese-primary
- M · Model Type
- Multimodal LLM
- N · Safety Issues
- None reported
- O · Open Source
- Yes — open weights
- P · Pricing
- Open weights for non-commercial use; API: $0.30/M input, $1.20/M output
- Q · AIDb Rating
- 7/10 · AIDb v2.0 (curated): Capability 8/10 · Currency 6/10 · Access 10/10 · Significance 5/10 → 7.45
- R · What Makes It Special
- MiniMax-M2.7, which MiniMax calls its first model to take part in its own evolution: an internal version updated its own memory, built skills for reinforcement-learning experiments and ran 100+ rounds of autonomous scaffold optimization for a 30% gain. MiniMax reports 56.22% on SWE-Pro, 57.0% on Terminal Bench 2 and a 1495 Elo on GDPval-AA, the best among open models; it also supports native Agent Teams and Office-file editing. Its open weights bar commercial use without MiniMax's permission.
- S · Stock / Status
- HK$250 (0100.HK, Sep 28, 2026)
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- @MiniMax_AI
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights Multimodal LLM from MiniMax, released 2026.
Data completeness 88% · Last verified 2026-06-11 · Primary source ↗
Cite this
“MiniMax-M2.7.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/minimax-minimax-m2-7.html
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