OpenAI: o3 Mini (batch)
The OpenAI o3 Mini (batch) is a robust AI model capable of handling both text and file inputs, with a context length of 200,000 tokens and support for reasoning and tools integration. This model excels in blending various input modalities and processing complex tasks efficiently. This model should be considered by those requiring a versatile tool for generating detailed outputs but are mindful of cost; it has a blended benchmark score of 46.6 across two independent benchmarks, making it a solid choice despite its premium pricing at $0.55 per million input tokens and $2.2 per million output tokens.
Benchmark results
Independent, published benchmarks. Blended score 46.6 across 2 benchmarks, last refreshed 2026-08-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| Aider Polyglot | code editing across languages | 53.8 |
| AI Index | broad capability composite | 31.7 |
- Model ID
- openai/o3-mini:batch
- Vendor
- openai
- Released
- January 2025
- Tokenizer
- GPT
- Input Modalities
- text, file
- Output Modalities
- text
- Max Output
- 100,000 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- text only
- Audio
- no
- Moderated
- yes
What it costs in practice
Computed from the current $0.55/M input and $2.20/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.02 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.39 |
| A month of a busy support chatbot | 5M in / 2M out | $7.15 |
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Quick answers
- How much does OpenAI: o3 Mini (batch) cost?
- $0.55 per million input tokens and $2.20 per million output tokens.
- What is OpenAI: o3 Mini (batch)'s context window?
- 200,000 tokens, roughly 300 pages of text in a single request.
- Does OpenAI: o3 Mini (batch) support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can OpenAI: o3 Mini (batch) process images?
- No, it is text-only on the input side.