MiniMax-M2
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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
- 2025
- E · Expertise
- Beginner (app available)
- F · Free Tier
- Yes
- G · Generates
- Images, Video
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text
- J · Jurisdiction
- China
- K · Key Staffers
- Zhao Pengyu (LLM Research Leader), Yun Yeyi (COO)
- L · Languages
- Chinese-primary
- M · Model Type
- LLM
- N · Safety Issues
- None reported
- O · Open Source
- Yes — open weights
- P · Pricing
- Free (open weights, Modified MIT); API (legacy model): $0.30/M input, $1.20/M output
- Q · AIDb Rating
- 6/10 · AIDb v2.0 (curated): Capability 6.5/10 · Currency 4/10 · Access 10/10 · Significance 5/10 → 6.30
- R · What Makes It Special
- MiniMax-M2, MiniMax's open-weight (modified MIT) mixture-of-experts model for coding and agents, with 230B total and 10B active parameters: it runs long tool chains across shell, browser and code runners, scores 69.4 on SWE-bench Verified and 46.3 on Terminal-Bench, and ranked first among open models on Artificial Analysis's composite at launch. MiniMax priced its API at $0.30/$1.20 per million tokens, which it called 8% of Claude Sonnet 4.5's price, and launched an M2-powered MiniMax Agent.
- 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 LLM from MiniMax, released 2025.
Data completeness 88% · Last verified 2026-06-11 · Primary source ↗
Cite this
“MiniMax-M2.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/minimax-minimax-m2.html
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