o3 Mini: pricing, context window and benchmarks
o3 Mini is a multimodal model from OpenAI. It offers a 128,000-token context window, costs $10.68 per million input tokens and $45.84 per million output tokens, and averages 76.2 across the index's benchmark suite.
Pricing
o3 Mini costs $10.68 per million input tokens and $45.84 per million output tokens. A blended 3:1 input-to-output mix works out to about $19.47 per million tokens. Cached input is listed at $1.04 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $10.68 | per 1M tokens |
| Output | $45.84 | per 1M tokens |
| Cached input | $1.04 | per 1M tokens |
| Blended 3:1 | $19.47 | estimate per 1M tokens |
| 1M in + 1M out | $56.52 | 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 | 290 | 52th | |
| GPQA Diamond | 71.9 | 222 | 63th | |
| SWE-bench Verified | 63.4 | 247 | 59th | |
| HumanEval | 81.5 | 200 | 67th | |
| MATH-500 | 81.2 | 188 | 69th | |
| AIME 2025 | 69.8 | 263 | 56th | |
| LiveCodeBench | 70.7 | 178 | 70th | |
| IFEval | 82.7 | 255 | 58th | |
| TruthfulQA | 79.6 | 199 | 67th | |
| HellaSwag | 86.4 | 203 | 66th | |
| MMMU | 74.0 | 193 | 68th | |
| Arena Elo | 1394.3 | 232 | 61th |
What o3 Mini is good for
o3 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 $10.68 per million input tokens with a 128,000-token window, check its benchmark profile against the specific task before committing.
Strengths
- Large 128,000-token context window for long documents and agent traces.
- 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 $10.68 per million tokens.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3.1 | Meta AI | 200000 | $4.16 | 76.3 |
| Command R+ Instruct | Cohere | 200000 | $4.16 | 76.2 |
| Llama 3 Baseten Instruct | Baseten | 200000 | $3.91 | 76.2 |
| Llama 3 Hyperbolic Instruct | Hyperbolic | 200000 | $3.79 | 76.2 |
| Sonar Reasoning | Perplexity | 200000 | $11.48 | 76.2 |
| o3 Mini | OpenAI | 128000 | $10.68 | 76.2 |
FAQ
How much does o3 Mini cost?
o3 Mini is listed at $10.68 per million input tokens and $45.84 per million output tokens. Cached input is $1.04 per million tokens. A blended 3:1 input-to-output mix is about $19.47 per million tokens.
What is the context window of o3 Mini?
o3 Mini has a context window of 128,000 tokens and can emit up to 32,768 output tokens per request in this index.
Is o3 Mini open weights?
No. o3 Mini is a proprietary model with a proprietary licence, so you cannot download the weights.
How does o3 Mini score on benchmarks?
o3 Mini averages 76.2 across the scored benchmarks in this index, ranking #217 of 600 models. Its strongest relative result is Arena Elo at 1394.3.
What is o3 Mini best for?
o3 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 $10.68 per million input tokens with a 128,000-token window, check its benchmark profile against the specific task before committing.