MiniMax
MiniMax: MiniMax M2.1
minimax/minimax-m2.1
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world capability while maintaining exceptional latency, scalability, and cost efficiency. Compared to its predecessor, M2.1 delivers cleaner, more concise outputs and faster perceived response times. It shows leading multilingual coding performance across major systems and application languages, achieving 49.4% on Multi-SWE-Bench and 72.5% on SWE-Bench Multilingual, and serves as a versatile agent “brain” for IDEs, coding tools, and general-purpose assistance. To avoid degrading this model's performance, MiniMax highly recommends preserving reasoning between turns. Learn more about using reasoning_details to pass back reasoning in our docs.
/ 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
Dec 23, 2025
Hugging Face
MiniMaxAI/MiniMax-M2.1
Default generation parameters
temperature
1
top_p
0.9
Reasoning
Publication status
Modalities
Generation controls
Capability scores
Better than 50% of models compared
Creative tasks
Category performance
1222 Elo
60.9% win
1165 Elo
57.5% win
1206 Elo
57.0% win
1131 Elo
55.4% win
1203 Elo
55.4% win
1192 Elo
55.3% win
1136 Elo
50.4% win