MiniMax M2.1

by MiniMax

MiniMax M2.1 is a 229-billion-parameter Mixture-of-Experts model released in December 2025 under a modified MIT license. It was tuned for robustness in coding, tool use, instruction following, and long-horizon planning across agentic workflows. The model shows strong multilingual programming, scoring 72.5 on SWE-bench Multilingual and 74.0 on SWE-bench Verified, with 88.0 on MMLU-Pro and 83.0 on GPQA-D. It reaches an average VIBE score of 88.6 (with 91.5 on VIBE-Web and 89.7 on VIBE-Android), reflecting robust full-stack and native mobile development capability. The sparse architecture supports faster inference and responsive agentic loops, and MiniMax positions M2.1 as matching or approaching leading proprietary coding models on real-world software engineering tasks.

Key info

Input
Output
Features
Context window
205K
Max output
131K

Best for

How MiniMax M2.1 scores on each use case.

Benchmarks

Independent benchmark scores: the Intelligence Index and the individual evaluations behind it, grouped by skill.

Global rank#151 of 508 LLMs
TierEfficient
Output speed43 tok/s
Intelligence Index (previous version)20.9
Coding
LiveCodeBench
81%
Agentic & knowledge work
Terminal-Bench Hard
29%
τ²-Bench Telecom
85%
Science & reasoning
Humanity's Last Exam
23%
GPQA Diamond
83%
Long-context reasoning
68%
Knowledge
MMLU-Pro
88%
Math & instruction following
AIME 2025
83%
IFBench
70%

Available routes

No routes currently available — MiniMax M2.1 isn't routed through the Opper gateway right now. It may return.

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