minimax/minimax-m2MiniMax-M2 is MiniMax’s open-weights AI model, released Oct 27, 2025. It costs $0.30/M input and $1.20/M output tokens, and handles a 205K-token context window.
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows.
Scores on standardized evaluations. Higher is better — and rank shows where MiniMax-M2 lands among all models tracked on Model Beat.
Graduate-level scientific reasoning
Frontier of human expert knowledge
Broad expert knowledge
Contamination-free coding
Scientific research coding
Human-rated web development
Olympiad-qualifier math
Command-line agentic tasks
Tool-agent-user reliability
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows.
MiniMax-M2 is an AI model developed by MiniMax, part of the MiniMax family, released Oct 27, 2025.
MiniMax-M2's list price from MiniMax is $0.30 per million input tokens and $1.20 per million output tokens.
MiniMax-M2 supports a context window of up to 205K tokens.
On standardized evaluations tracked by Epoch AI, MiniMax-M2 scores 82.6% on LiveCodeBench, 86.8% on τ²-bench, 82.0% on MMLU-Pro.
MiniMax-M2 is released with open weights (Open weights (unrestricted)), so the model can be downloaded and self-hosted.
Benchmark data from Epoch AI (CC BY) and Artificial Analysis; pricing, specs & descriptions from OpenRouter. Data updated Jul 31, 2026.