MiniMax
MiniMax: MiniMax M2.7
minimax/minimax-m2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments. Trained for production-grade performance, M2.7 handles workflows such as live debugging, root cause analysis, financial modeling, and full document generation across Word, Excel, and PowerPoint. It delivers strong results on benchmarks including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while achieving a 1495 ELO on GDPval-AA, setting a new standard for multi-agent systems operating in real-world digital workflows.
/ 1M tokens
/ 1M tokens
tokens
Limits
Context
204,800
tokens
Max output
131,072
64% of the context window
Parameters
228,689,764,864
Model facts
Author
MiniMax
Tokenizer
Other
Modality
Text -> Text
License
Other
Created
Mar 18, 2026
Hugging Face
MiniMaxAI/MiniMax-M2.7
Default generation parameters
temperature
1
top_p
0.95
Reasoning
Publication status
Modalities
Generation controls
Capability scores
Better than 39% of models compared
Better than 54% of models compared
Better than 54% of models compared
Creative tasks
Category performance
1234 Elo
52.4% win
1244 Elo
51.4% win
1235 Elo
50.9% win
1195 Elo
49.9% win
1211 Elo
49.8% win
1209 Elo
48.4% win
1135 Elo
47.4% win
1139 Elo
46.7% win