MMLU
knowledgeMMLU (Massive Multitask Language Understanding) tests a model across 57 academic subjects including STEM, humanities, social sciences, and more. It measures breadth of knowledge from elementary to professional level.
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Models Tested
92.0
Best Score
87.0
Average Score
0–100
Scale Range
0.8x
Weight
How It Works
The model is given multiple-choice questions (4 options) across 57 subjects. Questions range from elementary mathematics to professional medicine and law. The test uses a few-shot format where the model sees examples before answering.
Why It Matters
MMLU is one of the most widely-cited benchmarks because it tests general knowledge breadth. A model that scores well on MMLU demonstrates broad competence across many domains, making it a useful proxy for general intelligence.
Limitations
MMLU relies on multiple-choice format which can be gamed. Some questions are ambiguous or have contested answers. It tests recall more than reasoning. Many modern models now saturate the benchmark (>90%), reducing its discriminative power.
Leaderboard — MMLU
| # | Model | Provider | Score | |
|---|---|---|---|---|
| 🥇 | o3 | OpenAI | 92.0 | |
| 🥈 | o1 | OpenAI | 91.8 | |
| 🥉 | Grok 3 | xAI | 91.0 | |
| 4 | R1 | DeepSeek | 90.8 | |
| 5 | Gemini 2.5 Pro Preview 06-05 | 90.5 | | |
| 6 | GPT-4.1 | OpenAI | 90.2 | |
| 7 | GPT-4.5 | OpenAI | 90.2 | |
| 8 | DeepSeek V3 0324 | DeepSeek | 89.5 | |
| 9 | Claude Opus 4 | Anthropic | 89.0 | |
| 10 | GPT-4o (2024-05-13) | OpenAI | 88.7 | |
| 11 | Claude 3.5 Sonnet | Anthropic | 88.7 | |
| 12 | Llama 3.1 405B | Meta | 88.6 | |
| 13 | DeepSeek V3 | DeepSeek | 88.5 | |
| 14 | Claude Sonnet 4 | Anthropic | 88.0 | |
| 15 | Grok 2 | xAI | 87.5 | |
| 16 | GPT-4.1 Mini | OpenAI | 87.5 | |
| 17 | Mistral Large | Mistral | 87.0 | |
| 18 | Claude 3 Opus | Anthropic | 86.8 | |
| 19 | Gemini 2.5 Flash | 86.5 | | |
| 20 | Qwen2.5 72B Instruct | Alibaba | 86.1 | |
| 21 | Llama 3.3 70B Instruct | Meta | 86.0 | |
| 22 | Gemini 1.5 Pro | 85.9 | | |
| 23 | Llama 4 Maverick | Meta | 85.5 | |
| 24 | Nemotron 70B | NVIDIA | 85.0 | |
| 25 | Phi 4 | Microsoft | 84.8 | |
| 26 | Command A | Cohere | 83.5 | |
| 27 | Llama 4 Scout | Meta | 83.0 | |
| 28 | Claude 3.5 Haiku | Anthropic | 83.0 | |
| 29 | GPT-4o-mini (2024-07-18) | OpenAI | 82.0 | |
| 30 | Gemini 2.5 Flash Lite | 80.0 | | |
| 31 | Mistral Small 3.1 24B | Mistral | 78.0 | |