Gemini 3 Pro Nano on HumanEval: score, rank and what it means
Gemini 3 Pro Nano scores 77.7 on HumanEval, placing it #293 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.
Score distribution
The chart shows the top 10 models on HumanEval, with Gemini 3 Pro Nano highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| 3 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 4 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 5 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 6 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 7 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 8 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 9 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 10 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
What this score means
On HumanEval, Gemini 3 Pro Nano sits at #293 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 19.1 points. The median model in this index scores 77.4, which puts Gemini 3 Pro Nano above the midpoint.
Google DeepMind models average 82.4 on this benchmark. Gemini 3 Pro Nano is 4.7 points below that provider line, so it is a weaker result than the average Google DeepMind model.
Among mid-range models, the average is 71.5. Gemini 3 Pro Nano is 6.2 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 77.7 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 $9.11 per million input tokens, Gemini 3 Pro Nano is above the median input price of $4.00 across the 600 models scored on HumanEval. 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 Anyscale Instruct | Anyscale | 200000 | $3.91 | 75.7 |
| Mixtral Turbo Chat | Together AI | 32768 | $3.02 | 71.7 |
| Llama 3 Novita Chat | Novita AI | 65536 | $3.50 | 74.2 |
| Phi-4 Instruct | Microsoft | 128000 | $3.79 | 75.3 |
| Gemini 3 Pro Nano | Google DeepMind | 8192 | $9.11 | 73.2 |
| Llama 3.3 Base | Meta AI | 32768 | $3.63 | 74.0 |
| Mixtral Turbo | Together AI | 65536 | $3.20 | 72.4 |
Other benchmarks for Gemini 3 Pro Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 73.8 | 357 | 41th | |
| GPQA Diamond | 69.4 | 282 | 53th | |
| SWE-bench Verified | 61.2 | 296 | 51th | |
| MATH-500 | 78.3 | 251 | 58th | |
| AIME 2025 | 64.6 | 344 | 43th | |
| LiveCodeBench | 66.6 | 260 | 57th | |
| IFEval | 82.6 | 258 | 57th | |
| TruthfulQA | 77.0 | 281 | 53th | |
| HellaSwag | 81.9 | 350 | 42th | |
| MMMU | 71.8 | 250 | 58th | |
| Arena Elo | 1367.4 | 326 | 46th |
FAQ
What score does Gemini 3 Pro Nano get on HumanEval?
Gemini 3 Pro Nano scores 77.7 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Gemini 3 Pro Nano rank on HumanEval?
It ranks #293 of 600 models, in the 51st percentile. The leader is GPT-5.2 Pro at 96.8.
Is Gemini 3 Pro Nano good at HumanEval?
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 HumanEval score calculated?
HumanEval is a coding 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 Pro Nano cost?
Gemini 3 Pro Nano costs $9.11 per million input tokens and $48.26 per million output tokens.