Minimax M 2.5
New
#3SWE Bench Verified
by MiniMax
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About
MiniMax M2.5 is a large language model from MiniMax developed with extensive reinforcement learning training across complex real-world tasks — a training approach designed to improve the model's ability to reason through and complete difficult practical tasks rather than just answering knowledge questions. It reflects MiniMax's investment in RL-driven model development as a path to strong task completion in applied, enterprise-oriented settings.
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Pricing Range
Input (per 1M)$0.30 -$0.30
Output (per 1M)$1.20 -$1.20
Providers1
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Timeline
ReleasedFeb 12, 2026
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License & Family
License
MIT
Performance Overview
Performance metrics and category breakdown
Overall Performance
2 benchmarks
Average Score
59.9%
Best Score
80.2%
High Performers (80%+)
1Performance Metrics
Max Context Window
204.1KTop Categories
Coding
59.9%
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All Benchmark Results for Minimax M 2.5
Complete list of benchmark scores with detailed information
| SWE Bench Verified | Coding | 80.20 | 80.2% | Unverified | |
| SWE-rebench | Coding | 39.60 | 39.6% | Unverified |