o4 Mini: pricing, context window and benchmarks
o4 Mini is a multimodal model from OpenAI. It offers a 200,000-token context window, costs $11.92 per million input tokens and $51.03 per million output tokens, and averages 77.7 across the index's benchmark suite.
Pricing
o4 Mini costs $11.92 per million input tokens and $51.03 per million output tokens. A blended 3:1 input-to-output mix works out to about $21.70 per million tokens. Cached input is listed at $1.34 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $11.92 | per 1M tokens |
| Output | $51.03 | per 1M tokens |
| Cached input | $1.34 | per 1M tokens |
| Blended 3:1 | $21.70 | estimate per 1M tokens |
| 1M in + 1M out | $62.95 | 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 | 80.7 | 160 | 73th | |
| GPQA Diamond | 73.5 | 189 | 69th | |
| SWE-bench Verified | 64.9 | 215 | 64th | |
| HumanEval | 81.8 | 190 | 68th | |
| MATH-500 | 83.5 | 136 | 77th | |
| AIME 2025 | 75.3 | 150 | 75th | |
| LiveCodeBench | 67.7 | 232 | 61th | |
| IFEval | 84.6 | 200 | 67th | |
| TruthfulQA | 81.2 | 152 | 75th | |
| HellaSwag | 87.7 | 155 | 74th | |
| MMMU | 73.7 | 201 | 67th | |
| Arena Elo | 1417.0 | 163 | 73th |
What o4 Mini is good for
o4 Mini is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $11.92 per million input tokens, it sits in the mid-range of the index, and the 200,000-token context window is enough for large files and multi-file diffs.
Strengths
- Large 200,000-token context window for long documents and agent traces.
- Accepts more than text, including image input where the provider supports it.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Premium input pricing at $11.92 per million tokens.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| MiniMax-Text Chat | MiniMax | 128000 | $4.26 | 77.8 |
| Sonar Max | Perplexity | 32768 | $11.60 | 77.8 |
| DeepSeek-Coder Instruct | DeepSeek | 32768 | $4.34 | 77.7 |
| GPT-5.1 Mini | OpenAI | 128000 | $12.19 | 77.7 |
| MiniMax-Text Instruct | MiniMax | 128000 | $4.59 | 77.7 |
| o4 Mini | OpenAI | 200000 | $11.92 | 77.7 |
FAQ
How much does o4 Mini cost?
o4 Mini is listed at $11.92 per million input tokens and $51.03 per million output tokens. Cached input is $1.34 per million tokens. A blended 3:1 input-to-output mix is about $21.70 per million tokens.
What is the context window of o4 Mini?
o4 Mini has a context window of 200,000 tokens and can emit up to 32,768 output tokens per request in this index.
Is o4 Mini open weights?
No. o4 Mini is a proprietary model with a proprietary licence, so you cannot download the weights.
How does o4 Mini score on benchmarks?
o4 Mini averages 77.7 across the scored benchmarks in this index, ranking #182 of 600 models. Its strongest relative result is Arena Elo at 1417.0.
What is o4 Mini best for?
o4 Mini is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $11.92 per million input tokens, it sits in the mid-range of the index, and the 200,000-token context window is enough for large files and multi-file diffs.