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minimax/minimax-m2
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MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning, tool use, and multi-step task execution while maintaining low latency and deployment efficiency. The model excels in code generation, multi-file editing, compile-run-fix loops, and test-validated repair, showing strong results on SWE-Bench Verified, Multi-SWE-Bench, and Terminal-Bench. It also performs competitively in agentic evaluations such as BrowseComp and GAIA, effectively handling long-horizon planning, retrieval, and recovery from execution errors. Benchmarked by [Artificial Analysis](https://artificialanalysis.ai/models/minimax-m2), MiniMax-M2 ranks among the top open-source models for composite intelligence, spanning mathematics, science, and instruction-following. Its small activation footprint enables fast inference, high concurrency, and improved unit economics, making it well-suited for large-scale agents, developer assistants, and reasoning-driven applications that require responsiveness and cost efficiency. To avoid degrading this model's performance, MiniMax highly recommends preserving reasoning between turns.

10/23/2025
196,608 tokens
#130 Code (Overall)

Specifications

Modalities

Input
text
Output
text

Supported Parameters

frequency_penalty
include_reasoning
max_tokens
presence_penalty
reasoning
repetition_penalty
response_format
seed
stop
structured_outputs
temperature
tool_choice
tools
top_k
top_p

Max Output Tokens

65,536

Reasoning Configuration

Default
Thinking on
Turning thinking off
Not possible (always thinks)

How to control thinking, and what it costs

Data policy

Prompt retention
Unknown — we could not confirm
Training
Unknown — not declared

"Unknown" does not mean "safe". It means we could not confirm it.

Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.

Frequently asked questions

Is MiniMax M2 available on FastMetal?
Not at the moment. MiniMax M3.1 Flash, from the same lab, is available on the FastMetal API today.
What is the context window of MiniMax M2?
196,608 tokens, shared between the prompt and the response.
How does MiniMax M2 rank?
#229 on the public arena's Overall board (ELO 1,344). Ranks move as the leaderboard is updated.

Leaderboard

Text
spanishELO: 1,322
#223
russianELO: 1,334
#224
CodingELO: 1,383
#235
MathELO: 1,352
#216
Creative WritingELO: 1,283
#263
Instruction FollowingELO: 1,333
#224
Hard PromptsELO: 1,367
#220
Multi-TurnELO: 1,358
#204
OverallELO: 1,344
#229
ChineseELO: 1,369
#224
EnglishELO: 1,371
#220
frenchELO: 1,342
#218
germanELO: 1,356
#174
Code
OverallELO: 1,297
#130

Rankings: LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), CC BY 4.0, snapshot 2026-10-22; category names mapped and ratings rounded by FastMetal.