OpenAI: GPT-5.1-Codex-Mini
The OpenAI model is designed for handling both text and image input modalities with a context length of 400,000 tokens. It supports tools and reasoning capabilities. This model may be worth considering for organizations or individuals who need to analyze large amounts of data from multiple sources, as it can handle high-context inputs. Its price point, $0.25 per million input tokens and $2.00 per million output tokens, is relatively low compared to other models with similar benchmark standing, though its blended score of 33.5 indicates room for improvement.
Benchmark results
Independent, published benchmarks. Blended score 33.5 across 1 benchmark, last refreshed 2026-09-10. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 33.6 |
- Model ID
- openai/gpt-5.1-codex-mini
- Vendor
- openai
- Released
- November 2025
- Tokenizer
- GPT
- Input Modalities
- image, text
- Output Modalities
- text
- Max Output
- 128,000 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.25/M input and $2.00/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.23 |
| A month of a busy support chatbot | 5M in / 2M out | $5.25 |
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Quick answers
- How much does OpenAI: GPT-5.1-Codex-Mini cost?
- $0.25 per million input tokens and $2.00 per million output tokens.
- What is OpenAI: GPT-5.1-Codex-Mini's context window?
- 400,000 tokens, roughly 600 pages of text in a single request.
- Does OpenAI: GPT-5.1-Codex-Mini support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can OpenAI: GPT-5.1-Codex-Mini process images?
- Yes, it accepts image input.