MiniMax M2.5
MiniMax M2.5 is an AI model published by MiniMaxAI, released on 2026-02-12, for Reasoning model, with 229B parameters, and 128K context length, requiring about 230GB storage, under the MINIMAX MODEL LICENSE license, with a 97.80 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
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.300/ 1M | $2.40/ 1M |
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.150/ 1M | $1.20/ 1M |
Benchmark Results
MiniMax M2.5 currently shows benchmark results led by SWE-bench Verified (13 / 109, 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.
General Knowledge
5 evaluationsCoding and Software Engineer
2 evaluationsClaw-style Agent Evaluation
2 evaluationsCompare with other models
Publisher
Model Overview
MiniMax M2.5 is an AI model published by MiniMaxAI, released on 2026-02-12, for Reasoning model, with 229B parameters, and 128K context length, requiring about 230GB storage, under the MINIMAX MODEL LICENSE license, with a 97.80 score on τ²-Bench - Telecom.
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