137 AI models ranked on MMMU-Pro. Each row shows the model’s score next to its cheapest API price per 1M tokens where it has one, so you can weigh quality against cost.
Top model today
Gemini 3.5 Flash (Google) leads at 84%, from $1.50 per 1M input.
Each labelled name links to that model’s page. Curated to the cost-efficiency frontier, top scorers and cheapest so labels stay readable; the full field is in the leaderboard table below (and via “select all”). Reasoning models (extended “thinking” before answering) carry a ring around the dot.
Prices are on-demand list rates. Enterprise commitments can be materially lower. Cost per task uses best-effort token usage.
Frequently asked questions
What is the MMMU-Pro benchmark?
A more robust version of the MMMU multimodal benchmark testing reasoning over combined images and text across many disciplines. It filters out text-only-answerable questions, expands the answer options, and adds a vision-only mode where the question is embedded in the image. Scored as multiple-choice accuracy.
Which AI model scores highest on MMMU-Pro?
Gemini 3.5 Flash (Google) leads with 84%, from $1.50 per 1M input tokens.
How many models are ranked on MMMU-Pro?
137 models carry a MMMU-Pro score. Scores come from Artificial Analysis; where a model has a live API price it is verified against LiteLLM and OpenRouter, and models with no current price are listed without one.