language benchmark
MMLU-redux-2.0 Leaderboard
MMLU-redux-2.0 is a curated version of MMLU with 5,700 manually re-annotated questions across 57 subjects.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MMLU-redux-2.0 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score90.20% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
MMLU-redux-2.0 Highlights
The leading models and scores on this benchmark.
The Top AI Models for MMLU-redux-2.0
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mmlu-redux-2.0 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAMoonshot AI
- Score
- 90.20%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MMLU-redux-2.0, not total model capability
Selection summary
Best AI Models for MMLU-redux-2.0
Kimi K2 Base currently leads MMLU-redux-2.0 with 90.20%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is MMLU-redux-2.0?
What MMLU-redux-2.0 measures and how its scores work.
MMLU-redux-2.0 is a language benchmark designed to identify and correct errors in the original MMLU dataset.
It measures language-model performance using a Score reported as a ratio on questions across 57 subjects.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MMLU-redux-2.0
- Modality
- text
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MMLU-redux-2.0.
Which model scores highest on MMLU-redux-2.0?
Kimi K2 Base is currently ranked first with 90.20%.
What are the top three models on MMLU-redux-2.0?
The current leaders are Kimi K2 Base (90.20%).
Which MMLU-redux-2.0 model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among MMLU-redux-2.0 results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.