Auto Mini: pricing, context window and benchmarks
Auto Mini is a mid-range model from OpenRouter. It offers a 4,096-token context window, costs $4.24 per million input tokens and $18.05 per million output tokens, and averages 61.6 across the index's benchmark suite.
Pricing
Auto Mini costs $4.24 per million input tokens and $18.05 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.69 per million tokens. Cached input is listed at $0.57 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $4.24 | per 1M tokens |
| Output | $18.05 | per 1M tokens |
| Cached input | $0.57 | per 1M tokens |
| Blended 3:1 | $7.69 | estimate per 1M tokens |
| 1M in + 1M out | $22.29 | 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 | 68.8 | 407 | 32th | |
| GPQA Diamond | 55.8 | 451 | 25th | |
| SWE-bench Verified | 48.8 | 431 | 28th | |
| HumanEval | 66.1 | 428 | 29th | |
| MATH-500 | 62.1 | 442 | 26th | |
| AIME 2025 | 49.8 | 462 | 23th | |
| LiveCodeBench | 53.1 | 417 | 31th | |
| IFEval | 72.4 | 426 | 29th | |
| TruthfulQA | 67.0 | 429 | 29th | |
| HellaSwag | 74.7 | 446 | 26th | |
| MMMU | 59.3 | 436 | 27th | |
| Arena Elo | 1290.3 | 431 | 28th |
What Auto Mini is good for
Auto Mini 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 $4.24 per million input tokens with a 4,096-token window, check its benchmark profile against the specific task before committing.
Strengths
- Balanced specification profile with no single dominant strength.
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 |
|---|---|---|---|---|
| GLM-4.6 7B | Zhipu AI | 16384 | $1.52 | 61.8 |
| GPT-NeoX | EleutherAI | 16384 | $1.57 | 61.7 |
| MiniMax-M2 8B | MiniMax | 32768 | $1.65 | 61.7 |
| Auto Mini | OpenRouter | 4096 | $4.24 | 61.6 |
| Mistral Large 3 8B | Mistral AI | 16384 | $1.62 | 61.6 |
| Firesearch Mini | Fireworks AI | 32768 | $3.94 | 61.5 |
FAQ
How much does Auto Mini cost?
Auto Mini is listed at $4.24 per million input tokens and $18.05 per million output tokens. Cached input is $0.57 per million tokens. A blended 3:1 input-to-output mix is about $7.69 per million tokens.
What is the context window of Auto Mini?
Auto Mini has a context window of 4,096 tokens and can emit up to 4,096 output tokens per request in this index.
Is Auto Mini open weights?
No. Auto Mini is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Auto Mini score on benchmarks?
Auto Mini averages 61.6 across the scored benchmarks in this index, ranking #436 of 600 models. Its strongest relative result is Arena Elo at 1290.3.
What is Auto Mini best for?
Auto Mini 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 $4.24 per million input tokens with a 4,096-token window, check its benchmark profile against the specific task before committing.