language benchmark
MMLU-Base Leaderboard
MMLU-Base is the base version of the Massive Multitask Language Understanding benchmark, covering 57 tasks across academic and professional subjects.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MMLU-Base Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score68.00% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
MMLU-Base Highlights
The leading models and scores on this benchmark.
The Top AI Models for MMLU-Base
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mmlu-base AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACAlibaba Cloud / Qwen Team
- Score
- 68.00%
- Price
- $0.14 input / $0.29 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MMLU-Base, not total model capability
Selection summary
Best AI Models for MMLU-Base
Qwen2.5-Coder 7B Instruct currently leads MMLU-Base with 68.00%. 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-Base?
What MMLU-Base measures and how its scores work.
MMLU-Base is a language benchmark for evaluating models on 57 tasks, including elementary mathematics, US history, computer science, law, and other professional and academic subjects.
It measures Score, reported as a ratio, across these 57 tasks.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MMLU-Base
- 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-Base.
Which model scores highest on MMLU-Base?
Qwen2.5-Coder 7B Instruct is currently ranked first with 68.00%.
What are the top three models on MMLU-Base?
The current leaders are Qwen2.5-Coder 7B Instruct (68.00%).
Which MMLU-Base model has the lowest official input price?
Qwen2.5-Coder 7B Instruct has the lowest matched official input price at $0.14 input / $0.29 output per 1M tokens.
Which models are fastest among MMLU-Base 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.