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MMLU-Redux

General QA · 2024-06-06

MMLU-Redux is a manually re-annotated subset of MMLU in which questions with wrong ground truth, unclear wording or multiple correct options were corrected or flagged, so accuracy is measured against the corrected labels. Its 1.0 release has 3,000 questions in 30 subjects and MMLU-Redux 2.0 has 5,700 across all 57; release reports rarely name the version, so no item count is declared, and shots and prompt format are recorded per row. It is its own family, not an MMLU fallback, because its item set and labels differ; the ZeroEval-harness run is the separate zeroeval-mmlu-redux. Higher is better.

Top models (higher is better)

ModelScore
Gemini 3 Pro Preview95.9
Opus 4.595.6
Kimi K2.695.3
Opus 4.695.2
GPT-5.295.0
Qwen3.7-Max (source unspecified)95.0
o394.9
Qwen3.5 397B A17B94.9
DeepSeek-V4-Pro94.8
Opus 494.6
Kimi K2.594.5
Qwen3.6 Plus (2026-04-02)94.5
Qwen3.7-Plus (source unspecified)94.5
DeepSeek-V3.294.5
Kimi K2 Thinking94.4
Gemini 2.5 Pro94.4
GLM-594.4
Qwen3.5 Plus (2026-02-15)94.3
GLM-5.194.3
Qwen3.5-Omni-Plus94.2
Qwen3.5 122B A10B94.0
Qwen3-235B-A22B93.8
Qwen3 235B A22B Thinking 250793.8
DeepSeek-V3.193.7
GPT-5 Mini93.7
Gemma 4 31B IT93.7
Qwen3 VL 235B A22B Thinking93.7
Sonnet 493.6
Qwen3.6 27B93.5
DeepSeek-R1-052893.4
Qwen3.5 35B A3B93.3
Qwen3.6 35B A3B93.3
Qwen3.5-27B93.2
Qwen3 235B A22B Instruct 250793.1
DeepSeek-R192.9
O4 Mini92.8
Qwen3 Max Thinking (2026-01-23)92.8
o1 (2024-12-17)92.8
Kimi K2 Instruct 090592.7
Kimi K2 Instruct92.7
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