MMLU-Pro benchmark leaderboard: best LLM for general knowledge in 2026
- Jan 28, 2024
- 2 min read
Updated: 2 days ago
Ever wondered which AI model is best at general knowledge?
The main benchmark for this is MMLU-Pro.
It tests how well AI models handle questions across many academic and professional fields.
Not just math or science, but everything...
Law. Medicine. History. Business. Engineering.
This is one of the strongest benchmarks we have for broad reasoning.
Why should you care?
The MMLU benchmark is not just another trivia quiz.
It is one of the best proxies we have for:
general domain knowledge you can trust
reasoning across many subjects
fewer confident wrong answers
stronger performance on real-world professional tasks
So if your work involves analysis, research, strategy, or technical decision-making, these scores are a useful signal when choosing an AI model.
Not sure which AI model to pick?
Read our full guide to the best LLMs
Best LLM on the MMLU-Pro benchmark (leaderboard)
MMLU-Pro shows something important: Even with harder questions, the frontier models are still scoring very high.
The top tier is tightly clustered
Gemini 3 Pro leads with 90%
Claude Opus 4.5 matches it at 90%
GPT-5.2 and Grok 4.1 follow at 87%
At this level, the question is no longer: “Can it answer general knowledge questions?”
It is: “How reliably can it reason across expert domains?”
The middle tier is strong, but less consistent
DeepSeek V3.2-exp scores 86%
Qwen 3 lands at 84%
Still impressive.
But you should expect more mistakes on harder professional tasks.
The gap grows below the frontier
Ernie 5.0 scores 83%
Llama 4 and Mistral 3 sit at 81%
That gap matters if you need consistent performance across complex topics like law, healthcare, or engineering.
What is the MMLU benchmark?
MMLU stands for Massive Multitask Language Understanding.
It was introduced by Hendrycks et al. (2021) to evaluate how well language models perform across a wide set of subjects.
The original benchmark includes 57 areas, such as:
elementary math
US history
computer science
law
medicine
The final MMLU score is the average accuracy across all tasks.
For years, MMLU became one of the main benchmarks for general AI capability.
What is the MMLU-Pro benchmark?
MMLU-Pro is the upgraded version of MMLU.
It was introduced because models started saturating the original test.
The new benchmark raises the difficulty in three ways:
12,000 graduate-level questions
14 broad academic domains
10 answer options per question instead of 4
MMLU-Pro focuses more on reasoning, not memorization.
It also reduces prompt sensitivity, meaning models cannot “game” the test as easily.
That is why MMLU-Pro matters now. It is one of the few remaining benchmarks that can still separate the best models from the rest.
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