Auto Turbo: pricing, context window and benchmarks
Auto Turbo is a mid-range model from OpenRouter. It offers a 65,536-token context window, costs $7.96 per million input tokens and $33.26 per million output tokens, and averages 70.9 across the index's benchmark suite.
Pricing
Auto Turbo costs $7.96 per million input tokens and $33.26 per million output tokens. A blended 3:1 input-to-output mix works out to about $14.29 per million tokens. Cached input is listed at $0.76 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $7.96 | per 1M tokens |
| Output | $33.26 | per 1M tokens |
| Cached input | $0.76 | per 1M tokens |
| Blended 3:1 | $14.29 | estimate per 1M tokens |
| 1M in + 1M out | $41.22 | 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 | 76.0 | 305 | 49th | |
| GPQA Diamond | 69.1 | 291 | 52th | |
| SWE-bench Verified | 57.1 | 365 | 39th | |
| HumanEval | 75.7 | 332 | 45th | |
| MATH-500 | 71.2 | 377 | 37th | |
| AIME 2025 | 64.8 | 340 | 43th | |
| LiveCodeBench | 60.2 | 366 | 39th | |
| IFEval | 80.7 | 318 | 47th | |
| TruthfulQA | 71.7 | 383 | 36th | |
| HellaSwag | 83.9 | 283 | 53th | |
| MMMU | 70.0 | 301 | 50th | |
| Arena Elo | 1345.5 | 371 | 38th |
What Auto Turbo is good for
Auto Turbo 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 $7.96 per million input tokens with a 65,536-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 |
|---|---|---|---|---|
| Fusion | OpenRouter | 16384 | $8.41 | 71.1 |
| Command A Mini | Cohere | 8192 | $8.12 | 71.0 |
| ERNIE 4.5 Mini | Baidu | 32768 | $8.62 | 71.0 |
| OLMo 2 | Allen Institute for AI | 65536 | $2.99 | 71.0 |
| Auto Turbo | OpenRouter | 65536 | $7.96 | 70.9 |
| Phi-3.5 | Microsoft | 16384 | $2.81 | 70.9 |
FAQ
How much does Auto Turbo cost?
Auto Turbo is listed at $7.96 per million input tokens and $33.26 per million output tokens. Cached input is $0.76 per million tokens. A blended 3:1 input-to-output mix is about $14.29 per million tokens.
What is the context window of Auto Turbo?
Auto Turbo has a context window of 65,536 tokens and can emit up to 65,536 output tokens per request in this index.
Is Auto Turbo open weights?
No. Auto Turbo is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Auto Turbo score on benchmarks?
Auto Turbo averages 70.9 across the scored benchmarks in this index, ranking #350 of 600 models. Its strongest relative result is Arena Elo at 1345.5.
What is Auto Turbo best for?
Auto Turbo 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 $7.96 per million input tokens with a 65,536-token window, check its benchmark profile against the specific task before committing.