OpenAI: GPT-5 Codex (batch)
The OpenAI GPT-5 Codex (batch) is designed for handling both text and image inputs with a context length of 400,000 tokens and supports reasoning, making it suitable for complex tasks that require understanding across large volumes of data or visual content. It can process multi-modal inputs and engage in detailed reasoning but does not offer structured output capabilities. Given its high price point at $5.00 per million output tokens and $0.625 per million input tokens, the GPT-5 Codex is best suited for organizations willing to invest in premium AI solutions that can handle extensive reasoning tasks with text and images. However, due to a lack of independent benchmark coverage, its performance relative to other models remains unproven, making it essential to carefully consider alternative options before shortlisting this model.
- Model ID
- openai/gpt-5-codex:batch
- Vendor
- openai
- Released
- September 2025
- Tokenizer
- GPT
- Input Modalities
- text, image
- 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 $0.62/M input and $5.00/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.03 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.56 |
| A month of a busy support chatbot | 5M in / 2M out | $13.12 |
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Quick answers
- How much does OpenAI: GPT-5 Codex (batch) cost?
- $0.62 per million input tokens and $5.00 per million output tokens.
- What is OpenAI: GPT-5 Codex (batch)'s context window?
- 400,000 tokens, roughly 600 pages of text in a single request.
- Does OpenAI: GPT-5 Codex (batch) support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can OpenAI: GPT-5 Codex (batch) process images?
- Yes, it accepts image input.