Auto Nano on LiveCodeBench: score, rank and what it means
Auto Nano scores 46.5 on LiveCodeBench, placing it #483 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.
Score distribution
The chart shows the top 10 models on LiveCodeBench, with Auto Nano highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 2 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 3 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 6 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 7 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 8 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 9 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On LiveCodeBench, Auto Nano sits at #483 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 38.6 points. The median model in this index scores 64.7, which puts Auto Nano below the midpoint.
OpenRouter models average 58.5 on this benchmark. Auto Nano is 12.0 points below that provider line, so it is a weaker result than the average OpenRouter model.
Among mid-range models, the average is 58.3. Auto Nano is 11.8 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 46.5 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 $2.83 per million input tokens, Auto Nano is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. 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 Replicate 7B | Replicate | 32768 | $0.91 | 56.0 |
| Pythia Instruct | EleutherAI | 8192 | $1.41 | 60.8 |
| Llama 3 Hyperbolic 8B | Hyperbolic | 16384 | $0.92 | 56.0 |
| Yi-Lightning 8B | 01.AI | 4096 | $1.16 | 59.2 |
| Auto Nano | OpenRouter | 4096 | $2.83 | 57.1 |
| Llama 3 Anyscale 8B | Anyscale | 32768 | $0.97 | 57.3 |
| Yi-Large 8B | 01.AI | 32768 | $0.88 | 56.1 |
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 | |
| HumanEval | 62.7 | 461 | 23th | |
| MATH-500 | 60.0 | 464 | 23th | |
| AIME 2025 | 44.2 | 505 | 16th | |
| 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 LiveCodeBench?
Auto Nano scores 46.5 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Auto Nano rank on LiveCodeBench?
It ranks #483 of 600 models, in the 20th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Auto Nano good at LiveCodeBench?
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 LiveCodeBench score calculated?
LiveCodeBench 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.