Auto Max: pricing, context window and benchmarks
Auto Max is a mid-range model from OpenRouter. It offers a 8,192-token context window, costs $8.41 per million input tokens and $40.47 per million output tokens, and averages 71.2 across the index's benchmark suite.
Pricing
Auto Max costs $8.41 per million input tokens and $40.47 per million output tokens. A blended 3:1 input-to-output mix works out to about $16.43 per million tokens. Cached input is listed at $1.08 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $8.41 | per 1M tokens |
| Output | $40.47 | per 1M tokens |
| Cached input | $1.08 | per 1M tokens |
| Blended 3:1 | $16.43 | estimate per 1M tokens |
| 1M in + 1M out | $48.88 | 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 | 74.5 | 342 | 43th | |
| GPQA Diamond | 69.4 | 280 | 53th | |
| SWE-bench Verified | 58.7 | 345 | 43th | |
| HumanEval | 73.7 | 360 | 40th | |
| MATH-500 | 72.6 | 361 | 40th | |
| AIME 2025 | 68.5 | 287 | 52th | |
| LiveCodeBench | 60.0 | 368 | 39th | |
| IFEval | 78.1 | 366 | 39th | |
| TruthfulQA | 77.5 | 267 | 56th | |
| HellaSwag | 83.5 | 302 | 50th | |
| MMMU | 66.2 | 367 | 39th | |
| Arena Elo | 1365.1 | 331 | 45th |
What Auto Max is good for
Auto Max 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 Max cost?
Auto Max is listed at $8.41 per million input tokens and $40.47 per million output tokens. Cached input is $1.08 per million tokens. A blended 3:1 input-to-output mix is about $16.43 per million tokens.
What is the context window of Auto Max?
Auto Max has a context window of 8,192 tokens and can emit up to 8,192 output tokens per request in this index.
Is Auto Max open weights?
No. Auto Max is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Auto Max score on benchmarks?
Auto Max averages 71.2 across the scored benchmarks in this index, ranking #340 of 600 models. Its strongest relative result is Arena Elo at 1365.1.
What is Auto Max best for?
Auto Max 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.