Gemma 3 on MMMU: score, rank and what it means
Gemma 3 scores 72.1 on MMMU, placing it #239 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.
Score distribution
The chart shows the top 10 models on MMMU, with Gemma 3 highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 3 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 4 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 5 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 6 | Grok 4 Pro | xAI | 1000000 | $19.00 | 85.4 |
| 7 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 8 | Claude Sonnet 4.5 Pro | Anthropic | 1000000 | $18.73 | 86.7 |
| 9 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 10 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
What this score means
On MMMU, Gemma 3 sits at #239 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 14.8 points. The median model in this index scores 70.0, which puts Gemma 3 above the midpoint.
Google DeepMind models average 74.9 on this benchmark. Gemma 3 is 2.8 points below that provider line, so it is a weaker result than the average Google DeepMind model.
Among multimodal models, the average is 74.3. Gemma 3 is 2.2 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 72.1 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $3.68 per million input tokens, Gemma 3 is below the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Nova Lite | Amazon | 65536 | $9.20 | 73.4 |
| Magistral Base | Mistral AI | 65536 | $3.86 | 75.6 |
| Reka Flash Reasoning | Reka AI | 32768 | $10.70 | 75.6 |
| Reka Flash Turbo | Reka AI | 128000 | $10.19 | 75.1 |
| Gemma 3 | Google DeepMind | 65536 | $3.68 | 73.6 |
| Llama 3 DeepInfra Chat | DeepInfra | 200000 | $3.74 | 75.0 |
| Yi-Lightning Instruct | 01.AI | 128000 | $4.16 | 76.5 |
Other benchmarks for Gemma 3
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 75.1 | 330 | 45th | |
| GPQA Diamond | 71.5 | 230 | 62th | |
| SWE-bench Verified | 60.0 | 328 | 45th | |
| HumanEval | 76.6 | 315 | 48th | |
| MATH-500 | 75.7 | 309 | 49th | |
| AIME 2025 | 69.2 | 274 | 54th | |
| LiveCodeBench | 65.4 | 285 | 53th | |
| IFEval | 82.0 | 279 | 54th | |
| TruthfulQA | 78.6 | 232 | 61th | |
| HellaSwag | 83.7 | 290 | 52th | |
| Arena Elo | 1371.5 | 312 | 48th |
FAQ
What score does Gemma 3 get on MMMU?
Gemma 3 scores 72.1 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Gemma 3 rank on MMMU?
It ranks #239 of 600 models, in the 60th percentile. The leader is GPT-5.2 Max at 86.9.
Is Gemma 3 good at MMMU?
Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.
How is the MMMU score calculated?
MMMU is a multimodal benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Gemma 3 cost?
Gemma 3 costs $3.68 per million input tokens and $14.67 per million output tokens.