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,...
Tested on 8 benchmarks · BenchGecko score 72.4. Top scores: Chatbot Arena Elo · Overall (1343.4%), Chatbot Arena Elo · Coding (1296.6%), OpenCompass · IFEval (90.2%).
OpenCompass Live Code Bench v6. Fresh competitive programming problems to evaluate code generation without memorization.
OpenCompass evaluation on AIME 2025 problems. Tests mathematical reasoning on fresh competition problems.
OpenCompass MMLU-Pro evaluation. Harder knowledge test with more answer choices.
OpenCompass evaluation of GPQA Diamond. PhD-level science questions from the hardest subset.
OpenCompass evaluation of Humanitys Last Exam. Expert-level cross-discipline knowledge test.
- Typetext
- Context205K tokens (~102 books)
- ReleasedOct 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.002
Frequently Asked Questions
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- MiniMax M2 by minimax. BenchGecko score 72.4, rank 35 of 326 scored models (normalized average of public benchmark scores).
- List price $0.30 input · $1.20 output per 1M tokens (as of 2026-11-04).
- Gecko Tests: Who Are You E (Sometimes says it is Anthropic) · Tokenizer Tax A (36% more tokens outside English).
How to cite · data as of 2026-11-04
MiniMax M2 · benchmarks, pricing and providers. BenchGecko, data as of 2026-11-04. https://benchgecko.ai/model/minimax-m2
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP