MiniMax M2.1 Preview
MiniMax M2.1 Preview is an AI model published by MiniMaxAI, released on 2025-12-23, for Chat model, with 230B parameters, and 200K context length, under the Modified MIT license, with a 88.00 score on MMLU Pro.
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 | - | ¥2.10/ 1M | ¥8.40/ 1M |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | - | ¥2.63/ 1M | ¥0.210/ 1M |
Benchmark Results
M2.1 currently shows benchmark results led by MMLU Pro (7 / 126, score 88), SWE-bench Verified (36 / 109, score 74.80), GPQA Diamond (71 / 180, score 81). 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
3 evaluationsCoding and Software Engineer
2 evaluationsCompare with other models
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Publisher
Model Overview
MiniMax M2.1 Preview is an AI model published by MiniMaxAI, released on 2025-12-23, for Chat model, with 230B parameters, and 200K context length, under the Modified MIT license, with a 88.00 score on MMLU Pro.
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