Models Model details

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.

Input
$0.3

/ 1M tokens

Output
$1.2

/ 1M tokens

Context window
204.8K

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

Required

Publication status

Hugging Face: verifiedLicense: publishedParameter count: published

Modalities

Input · TextOutput · Text

Generation controls

Include reasoningMax tokensReasoningResponse formatTemperatureTool choiceToolsTop p

Capability scores

20.9
Intelligence index

Better than 50% of models compared

Creative tasks

Category performance

UI components
Top 46%

1222 Elo

60.9% win

3D
Top 53%

1165 Elo

57.5% win

Data visualization
Top 49%

1206 Elo

57.0% win

SVG
Top 68%

1131 Elo

55.4% win

Websites
Top 47%

1203 Elo

55.4% win

Code
Top 49%

1192 Elo

55.3% win

Games
Top 65%

1136 Elo

50.4% win