Gemini 3 Flash Nano on Arena Elo: score, rank and what it means
Gemini 3 Flash Nano scores 1348.8 on Arena Elo, placing it #367 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.
Score distribution
The chart shows the top 10 models on Arena Elo, with Gemini 3 Flash Nano highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 2 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 3 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 6 | Gemini 3 Pro Turbo | Google DeepMind | 400000 | $19.62 | 86.4 |
| 7 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 10 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
What this score means
On Arena Elo, Gemini 3 Flash Nano sits at #367 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 153.1 points. The median model in this index scores 1373.8, which puts Gemini 3 Flash Nano below the midpoint.
Google DeepMind models average 1412.2 on this benchmark. Gemini 3 Flash Nano is 63.4 points below that provider line, so it is a weaker result than the average Google DeepMind model.
Among mid-range models, the average is 1332.0. Gemini 3 Flash Nano is 16.8 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 1348.8 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 Arena Elo. 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 |
|---|---|---|---|---|
| Molmo Instruct | Allen Institute for AI | 32768 | $2.53 | 68.3 |
| Gemini 2.5 Pro Nano | Google DeepMind | 32768 | $7.28 | 69.2 |
| Fusion | OpenRouter | 16384 | $8.41 | 71.1 |
| Grok 3 Nano | xAI | 8192 | $7.12 | 67.8 |
| Gemini 3 Flash Nano | Google DeepMind | 32768 | $7.56 | 69.4 |
| Qwen3-Max Nano | Alibaba Cloud | 65536 | $8.31 | 71.7 |
| Phi-3.5 Instruct | Microsoft | 16384 | $2.67 | 70.1 |
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 | |
| MMMU | 69.5 | 316 | 47th |
FAQ
What score does Gemini 3 Flash Nano get on Arena Elo?
Gemini 3 Flash Nano scores 1348.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.
How does Gemini 3 Flash Nano rank on Arena Elo?
It ranks #367 of 600 models, in the 39th percentile. The leader is Claude Opus 4.5 Max at 1501.9.
Is Gemini 3 Flash Nano good at Arena Elo?
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 Arena Elo score calculated?
Arena Elo is a preference 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.