Gemini 3 Flash Nano on MMMU: score, rank and what it means
Gemini 3 Flash Nano scores 69.5 on MMMU, placing it #316 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 Gemini 3 Flash Nano 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, Gemini 3 Flash Nano sits at #316 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 17.4 points. The median model in this index scores 70.0, which puts Gemini 3 Flash Nano below the midpoint.
Google DeepMind models average 74.9 on this benchmark. Gemini 3 Flash Nano is 5.4 points below that provider line, so it is a weaker result than the average Google DeepMind model.
Among mid-range models, the average is 65.0. Gemini 3 Flash Nano is 4.5 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 69.5 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 $7.56 per million input tokens, Gemini 3 Flash Nano is above 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 |
|---|---|---|---|---|
| Llama 3.3 Base | Meta AI | 32768 | $3.63 | 74.0 |
| Reka Core Mini | Reka AI | 8192 | $7.48 | 70.1 |
| Auto | OpenRouter | 32768 | $7.53 | 70.2 |
| Command R+ Base | Cohere | 65536 | $3.24 | 71.6 |
| Gemini 3 Flash Nano | Google DeepMind | 32768 | $7.56 | 69.4 |
| Llama 3 Modal Chat | Modal | 65536 | $3.55 | 73.3 |
| Nova Lite Max | Amazon | 200000 | $9.79 | 73.4 |
Other benchmarks for Gemini 3 Flash Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 71.4 | 386 | 36th | |
| GPQA Diamond | 62.9 | 384 | 36th | |
| SWE-bench Verified | 55.7 | 379 | 37th | |
| HumanEval | 73.0 | 372 | 38th | |
| MATH-500 | 75.0 | 323 | 46th | |
| AIME 2025 | 62.9 | 365 | 39th | |
| LiveCodeBench | 60.3 | 364 | 39th | |
| IFEval | 77.5 | 371 | 38th | |
| TruthfulQA | 72.0 | 379 | 37th | |
| HellaSwag | 83.4 | 308 | 49th | |
| Arena Elo | 1348.8 | 367 | 39th |
FAQ
What score does Gemini 3 Flash Nano get on MMMU?
Gemini 3 Flash Nano scores 69.5 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Gemini 3 Flash Nano rank on MMMU?
It ranks #316 of 600 models, in the 47th percentile. The leader is GPT-5.2 Max at 86.9.
Is Gemini 3 Flash Nano good at MMMU?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Gemini 3 Flash Nano cost?
Gemini 3 Flash Nano costs $7.56 per million input tokens and $41.55 per million output tokens.