MiniMax-M2
MiniMax-M2 is an AI model published by MiniMaxAI, released on 2025-10-27, for Chat model, and 205K tokens context length, requiring about 239.99 GB storage, under the MIT License license, with a 87.00 score on τ²-Bench - Telecom.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
MiniMax M2 currently shows benchmark results led by LiveCodeBench (23 / 120, score 83), IF Bench (9 / 29, score 72.30), MMLU Pro (50 / 126, score 82). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
MiniMax-M2 is an AI model published by MiniMaxAI, released on 2025-10-27, for Chat model, and 205K tokens context length, requiring about 239.99 GB storage, under the MIT License license, with a 87.00 score on τ²-Bench - Telecom.
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