Who ranks #1 on the MMMU-Pro leaderboard?
As of August 20, 2026, Gemini 3.5 Flash by Google ranks #1 on MMMU-Pro at 83.6%. API pricing is $1.50/M input and $9.00/M output.
As of August 20, 2026, Gemini 3.5 Flash is #1 for MMMU-Pro at 83.6%. Ranked by MMMU-Pro: a harder multimodal exam than MMMU. 54 models in this index have a published MMMU-Pro score. MMMU-Pro leaderboard with live API prices. MMMU-Pro — a harder subset of MMMU with more complex multimodal reasoning.
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As of August 20, 2026, Gemini 3.5 Flash by Google is #1 for MMMU-Pro at 83.6%. Ranked by MMMU-Pro: a harder multimodal exam than MMMU. This board also tracks MMMU-Pro. Next on the same board: GPT-5.5 and GPT-5.6 Sol. This mmmu-pro leaderboard ranks models by MMMU-Pro. Scores come from public evals. Prices are the live API rates in the table above.
Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
| Rank | Model | MMMU-Pro | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Gemini 3.5 Flash | 83.6% | $1.50 | $9.00 |
| 2 | GPT-5.5 | 83.2% | $5.00 | $30.00 |
| 3 | GPT-5.6 Sol | 83% | $5.00 | $30.00 |
| 4 | Qwen3.8 Max | 82.3% | $2.00 | $6.00 |
| 5 | Seed 2.1 Turbo | 82.2% | $0.50 | $2.50 |
| 6 | Kimi K3 | 81.6% | $3.00 | $15.00 |
| 7 | GPT-5.4 | 81.2% | $2.50 | $15.00 |
| 8 | Gemini 3 Flash | 81.2% | $0.50 | $3.00 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Gemini 3.5 Flash by Google ranks #1 on MMMU-Pro at 83.6%. API pricing is $1.50/M input and $9.00/M output.
The current MMMU-Pro ranking as of August 20, 2026 is 1. Gemini 3.5 Flash at 83.6%; 2. GPT-5.5 at 83.2%; 3. GPT-5.6 Sol at 83%.
Llama 3.2 11B Instruct is the cheapest scored model on this mmmu-pro leaderboard at $0.05/M input and $0.05/M output ($0.10 blended). Gemini 3.5 Flash still leads MMMU-Pro at 83.6%.
Not automatically. Gemini 3.5 Flash leads MMMU-Pro, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh MMMU-Pro against input/output price, context window, and related evals.
Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 20, 2026. Treat it as a current index, not a one-off blog post.
MMMU-Pro — a harder subset of MMMU with more complex multimodal reasoning. This page ranks models that have published a MMMU-Pro score, with live API token prices on the same row.
This page is the MMMU-Pro leaderboard. Models are sorted by MMMU-Pro, with input and output token prices on the same row so you can weigh score against cost. Official boards often omit price; that comparison is the point of this index.
Official eval pages own the methodology. This page keeps the published MMMU-Pro score next to live API $/M so you can pick a production SKU, not only a trophy number.