Auto: pricing, context window and benchmarks
Auto is a mid-range model from OpenRouter. It offers a 32,768-token context window, costs $7.53 per million input tokens and $29.19 per million output tokens, and averages 70.2 across the index's benchmark suite.
Pricing
Auto costs $7.53 per million input tokens and $29.19 per million output tokens. A blended 3:1 input-to-output mix works out to about $12.95 per million tokens. Cached input is listed at $1.00 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $7.53 | per 1M tokens |
| Output | $29.19 | per 1M tokens |
| Cached input | $1.00 | per 1M tokens |
| Blended 3:1 | $12.95 | estimate per 1M tokens |
| 1M in + 1M out | $36.72 | 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 | 73.6 | 362 | 40th | |
| GPQA Diamond | 63.9 | 378 | 37th | |
| SWE-bench Verified | 58.1 | 355 | 41th | |
| HumanEval | 75.2 | 340 | 43th | |
| MATH-500 | 74.1 | 343 | 43th | |
| AIME 2025 | 67.0 | 313 | 48th | |
| LiveCodeBench | 59.0 | 378 | 37th | |
| IFEval | 77.3 | 375 | 38th | |
| TruthfulQA | 73.8 | 357 | 41th | |
| HellaSwag | 81.1 | 364 | 39th | |
| MMMU | 69.6 | 314 | 48th | |
| Arena Elo | 1341.2 | 378 | 37th |
What Auto is good for
Auto 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 $7.53 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.
Strengths
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- 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 Novita Base | Novita AI | 8192 | $3.06 | 70.3 |
| Sonar Pro Mini | Perplexity | 8192 | $8.02 | 70.3 |
| Yi-Large Base | 01.AI | 16384 | $2.78 | 70.3 |
| Auto | OpenRouter | 32768 | $7.53 | 70.2 |
| Phi-3.5 Instruct | Microsoft | 16384 | $2.67 | 70.1 |
| Reka Core Mini | Reka AI | 8192 | $7.48 | 70.1 |
FAQ
How much does Auto cost?
Auto is listed at $7.53 per million input tokens and $29.19 per million output tokens. Cached input is $1.00 per million tokens. A blended 3:1 input-to-output mix is about $12.95 per million tokens.
What is the context window of Auto?
Auto has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is Auto open weights?
No. Auto is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Auto score on benchmarks?
Auto averages 70.2 across the scored benchmarks in this index, ranking #362 of 600 models. Its strongest relative result is Arena Elo at 1341.2.
What is Auto best for?
Auto 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 $7.53 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.