MMLU-Redux
A harder refresh of MMLU intended to keep broad knowledge evaluation useful after the original benchmark became too easy for frontier models.
15 models
Higher is better.
- 1Claude Opus 4.5Anthropic96.6
- 2Qwen3.7 MaxAlibaba95.0
- 3Qwen3.5 397BAlibaba94.9
- 4Qwen3.6 PlusAlibaba94.5
- 5Qwen3.7 PlusAlibaba94.5
- 6Kimi K2.5Moonshot AI94.5
- 7Qwen3.6-27BAlibaba93.5
- 8QwQ-32BAlibaba90.0
- 9Qwen3 235B-A22BAlibaba89.2
- 10Ternary Bonsai 2 27BPrism ML89.1
- 11Mellum2.1-12B-A2.5B-ThinkingJetBrains87.8
- 12Qwen3 32BAlibaba85.7
- 13MiniCPM5-2BOpenBMB84.7
- 14Mellum2-12B-A2.5B-InstructJetBrains78.1
- 15MiniCPM5-1BOpenBMB70.1
About this benchmark
- Metric
- Multiple choice questions
- Tasks
- Broad academic QA
- Authors
- Qwen (2026)
Scores are as reported by model developers or evaluators and may use different settings (for example reasoning effort or tools). Compare with care.