MiniMax M2.5
MiniMax M2.5 is an AI model published by MiniMaxAI, released on 2026-02-12, for Reasoning model, with 2290.0B parameters, and 128K tokens context length, requiring about 230GB storage, under the MINIMAX MODEL LICENSE license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.300/ 1M | $2.40/ 1M |
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.150/ 1M | $1.20/ 1M |
MiniMax M2.5 currently shows benchmark results led by SWE-bench Verified (10 / 105, score 80.20), Claw Bench (4 / 29, score 92.10), Pinch Bench (6 / 37, score 87.80). 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 M2.5 is an AI model published by MiniMaxAI, released on 2026-02-12, for Reasoning model, with 2290.0B parameters, and 128K tokens context length, requiring about 230GB storage, under the MINIMAX MODEL LICENSE license.
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