Auto Pro: pricing, context window and benchmarks
Auto Pro is a mid-range model from OpenRouter. It offers a 8,192-token context window, costs $8.41 per million input tokens and $45.80 per million output tokens, and averages 71.2 across the index's benchmark suite.
Pricing
Auto Pro costs $8.41 per million input tokens and $45.80 per million output tokens. A blended 3:1 input-to-output mix works out to about $17.76 per million tokens. Cached input is listed at $0.90 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $8.41 | per 1M tokens |
| Output | $45.80 | per 1M tokens |
| Cached input | $0.90 | per 1M tokens |
| Blended 3:1 | $17.76 | estimate per 1M tokens |
| 1M in + 1M out | $54.21 | 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 | 76.6 | 287 | 52th | |
| GPQA Diamond | 68.8 | 300 | 50th | |
| SWE-bench Verified | 60.5 | 316 | 47th | |
| HumanEval | 76.7 | 313 | 48th | |
| MATH-500 | 71.4 | 375 | 38th | |
| AIME 2025 | 65.5 | 335 | 44th | |
| LiveCodeBench | 62.7 | 337 | 44th | |
| IFEval | 80.7 | 317 | 47th | |
| TruthfulQA | 72.7 | 373 | 38th | |
| HellaSwag | 81.6 | 356 | 41th | |
| MMMU | 66.3 | 366 | 39th | |
| Arena Elo | 1356.0 | 353 | 41th |
What Auto Pro is good for
Auto Pro 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 $8.41 per million input tokens with a 8,192-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.
- Premium input pricing at $8.41 per million tokens.
- Context window of 8,192 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 |
|---|---|---|---|---|
| Auto Max | OpenRouter | 8192 | $8.41 | 71.2 |
| Auto Pro | OpenRouter | 8192 | $8.41 | 71.2 |
| Phi-4 Base | Microsoft | 32768 | $3.15 | 71.2 |
| Fusion | OpenRouter | 16384 | $8.41 | 71.1 |
| Gemma 3 Base | Google DeepMind | 65536 | $3.09 | 71.1 |
| Mixtral Base | Mistral AI | 65536 | $2.95 | 71.1 |
FAQ
How much does Auto Pro cost?
Auto Pro is listed at $8.41 per million input tokens and $45.80 per million output tokens. Cached input is $0.90 per million tokens. A blended 3:1 input-to-output mix is about $17.76 per million tokens.
What is the context window of Auto Pro?
Auto Pro has a context window of 8,192 tokens and can emit up to 8,192 output tokens per request in this index.
Is Auto Pro open weights?
No. Auto Pro is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Auto Pro score on benchmarks?
Auto Pro averages 71.2 across the scored benchmarks in this index, ranking #341 of 600 models. Its strongest relative result is Arena Elo at 1356.0.
What is Auto Pro best for?
Auto Pro 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 $8.41 per million input tokens with a 8,192-token window, check its benchmark profile against the specific task before committing.