Auto Nano: pricing, context window and benchmarks
Auto Nano is a mid-range model from OpenRouter. It offers a 4,096-token context window, costs $2.83 per million input tokens and $14.41 per million output tokens, and averages 57.1 across the index's benchmark suite.
Pricing
Auto Nano costs $2.83 per million input tokens and $14.41 per million output tokens. A blended 3:1 input-to-output mix works out to about $5.72 per million tokens. Cached input is listed at $0.32 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $2.83 | per 1M tokens |
| Output | $14.41 | per 1M tokens |
| Cached input | $0.32 | per 1M tokens |
| Blended 3:1 | $5.72 | estimate per 1M tokens |
| 1M in + 1M out | $17.24 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| 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 | |
| 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 |
What Auto Nano is good for
Auto Nano is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $2.83 per million input tokens with a 4,096-token window, check its benchmark profile against the specific task before committing.
Strengths
- Input price of $2.83 per million tokens is at or below the index median.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Context window of 4,096 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3 Lambda 8B | Lambda | 4096 | $1.03 | 57.2 |
| Mistral Small 3 8B | Mistral AI | 8192 | $0.99 | 57.2 |
| Auto Nano | OpenRouter | 4096 | $2.83 | 57.1 |
| Seed-OSS 8B | ByteDance | 8192 | $1.05 | 57.1 |
| Codestral 7B | Mistral AI | 32768 | $1.05 | 57.0 |
| Llama 3 Replicate 8B | Replicate | 32768 | $1.00 | 57.0 |
FAQ
How much does Auto Nano cost?
Auto Nano is listed at $2.83 per million input tokens and $14.41 per million output tokens. Cached input is $0.32 per million tokens. A blended 3:1 input-to-output mix is about $5.72 per million tokens.
What is the context window of Auto Nano?
Auto Nano has a context window of 4,096 tokens and can emit up to 4,096 output tokens per request in this index.
Is Auto Nano open weights?
No. Auto Nano is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Auto Nano score on benchmarks?
Auto Nano averages 57.1 across the scored benchmarks in this index, ranking #485 of 600 models. Its strongest relative result is Arena Elo at 1256.0.
What is Auto Nano best for?
Auto Nano is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $2.83 per million input tokens with a 4,096-token window, check its benchmark profile against the specific task before committing.