OpenAI: o3 Mini (batch)
The o3 Mini is an AI model developed by OpenAI that can handle text and file inputs up to 200,000 tokens in context. It supports tools integration and reasoning capabilities. With its input modality options, users can process files directly, but it does not produce structured output. This model may be worth considering for those who require a balance between cost and performance. Its blended benchmark score of 40.9 across two benchmarks indicates that it performs adequately in general language understanding tasks. At $0.55 per million input tokens and $2.20 per million output tokens, it is priced lower than many other models but still offers reasonable performance for the price.
Benchmark results
Independent, published benchmarks. Blended score 40.2 across 2 benchmarks, last refreshed 2026-09-23. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| Aider Polyglot | code editing across languages | 53.8 |
| AI Index | broad capability composite | 20.6 |
- 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 |
Category rankings
Where OpenAI: o3 Mini (batch) places across the 14 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #6 | JSON ExtractionData · of 25 ranked | 136 |
| #6 | Bulk Data LabelingData · of 25 ranked | 130 |
| #6 | Customer SupportBusiness · of 25 ranked | 128 |
| #6 | Dataset AnnotationResearch · of 25 ranked | 136 |
| #16 | SOP / Process DocsBusiness · of 25 ranked | 124 |
| #17 | Function / Tool CallingAgents · of 25 ranked | 126 |
| #22 | Trivia & General KnowledgePersonal · of 25 ranked | 116 |
| #23 | Data AnalysisData · of 25 ranked | 137 |
| #23 | Experiment DesignResearch · of 25 ranked | 132 |
| #24 | Short-Form SummarizationWriting · of 25 ranked | 126 |
| #24 | Email DraftingWriting · of 25 ranked | 122 |
| #24 | Language LearningEducation · of 25 ranked | 122 |
| #24 | Chat CompanionPersonal · of 25 ranked | 126 |
| #25 | Fitness CoachingPersonal · of 25 ranked | 120 |
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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.