Auto Nano on HumanEval: score, rank and what it means
Auto Nano scores 62.7 on HumanEval, placing it #461 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 Auto 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, Auto Nano sits at #461 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 34.1 points. The median model in this index scores 77.4, which puts Auto Nano below the midpoint.
OpenRouter models average 73.0 on this benchmark. Auto Nano is 10.3 points below that provider line, so it is a weaker result than the average OpenRouter model.
Among mid-range models, the average is 71.5. Auto Nano is 8.8 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 62.7 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 $2.83 per million input tokens, Auto Nano is below 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 |
|---|---|---|---|---|
| SmolLM3 Base | Hugging Face | 16384 | $1.38 | 60.4 |
| GPT-NeoX Chat | EleutherAI | 16384 | $1.49 | 60.1 |
| Codestral 8B | Mistral AI | 4096 | $1.18 | 59.0 |
| Pythia | EleutherAI | 32768 | $1.29 | 59.8 |
| Auto Nano | OpenRouter | 4096 | $2.83 | 57.1 |
| Kimi K2 1.5B | Moonshot AI | 4096 | $0.99 | 56.8 |
| QwQ 7B | Alibaba Cloud | 8192 | $1.11 | 58.1 |
Other benchmarks for Auto Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 65.0 | 453 | 25th | |
| GPQA Diamond | 50.2 | 520 | 13th | |
| SWE-bench Verified | 44.2 | 475 | 21th | |
| MATH-500 | 60.0 | 464 | 23th | |
| AIME 2025 | 44.2 | 505 | 16th | |
| LiveCodeBench | 46.5 | 483 | 20th | |
| IFEval | 66.5 | 508 | 15th | |
| TruthfulQA | 61.7 | 509 | 15th | |
| HellaSwag | 72.2 | 490 | 18th | |
| MMMU | 55.2 | 494 | 18th | |
| Arena Elo | 1256.0 | 481 | 20th |
FAQ
What score does Auto Nano get on HumanEval?
Auto Nano scores 62.7 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Auto Nano rank on HumanEval?
It ranks #461 of 600 models, in the 23rd percentile. The leader is GPT-5.2 Pro at 96.8.
Is Auto Nano good at HumanEval?
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 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 Auto Nano cost?
Auto Nano costs $2.83 per million input tokens and $14.41 per million output tokens.