OpenAI: GPT-5 Mini (batch)
The OpenAI: GPT-5 Mini (batch) is an AI model that can process text, images, and files as input. It has a context length of 400000 tokens, allowing it to handle extensive amounts of information. The model also supports tools and reasoning capabilities. This model may be worth considering for those with high output demands due to its $1.0/M output token price point. Its blended benchmark score is 27.5 across 1 independent benchmarks, placing it in a moderate standing among other models.
Benchmark results
Independent, published benchmarks. Blended score 24.2 across 1 benchmark, last refreshed 2026-09-23. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 27.7 |
- Model ID
- openai/gpt-5-mini:batch
- Vendor
- openai
- Released
- August 2025
- Tokenizer
- GPT
- Input Modalities
- text, image, file
- Output Modalities
- text
- Max Output
- 128,000 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- no
- Moderated
- yes
What it costs in practice
Computed from the current $0.12/M input and $1.00/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.11 |
| A month of a busy support chatbot | 5M in / 2M out | $2.62 |
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Quick answers
- How much does OpenAI: GPT-5 Mini (batch) cost?
- $0.12 per million input tokens and $1.00 per million output tokens.
- What is OpenAI: GPT-5 Mini (batch)'s context window?
- 400,000 tokens, roughly 600 pages of text in a single request.
- Does OpenAI: GPT-5 Mini (batch) support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can OpenAI: GPT-5 Mini (batch) process images?
- Yes, it accepts image input.