MiniMaxMiniMaxOpen SourceArena #82Dec 23, 2025

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](https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks).

Context Window
197K
tokens
Max Output
tokens
Released
Dec 23, 2025
Arena Rank
#82
of 305 models

Capabilities

👁Vision
🧠Reasoning
🔧Tool Calling
Prompt Caching
🖥Computer Use
🎨Image Generation

Supported Parameters

Frequency Penalty
Reduce repetition
Include Reasoning
Show reasoning tokens
Logit Bias
Adjust token weights
Log Probs
Token probabilities
Max Tokens
Output length limit
min_p
Presence Penalty
Encourage new topics
Reasoning
Extended thinking
Repetition Penalty
Penalize repeated tokens
Response Format
JSON mode / structured output
Seed
Deterministic outputs
Stop Sequences
Custom stop tokens
structured_outputs
Temperature
Controls randomness
Tool Choice
Control tool usage
Tool Calling
Function calling support
Top K
Top-K sampling
top_logprobs
Top P
Nucleus sampling

Pricing Comparison

RouterInput / 1MOutput / 1MCached Input / 1M
OpenRouter$0.27$0.95$0.03
Vercel AI$0.30$1.20

Benchmarks

Arena ELOLMSYS Chatbot Arena
1,340/1,500

Model IDs

OpenRouterminimax/minimax-m2.1

Tags

reasoningtool-calling
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