Model registry / OpenAI / GPT Codex Spark / GPT-5.3 Codex Spark
GPT-5.3 Codex Spark
Coding-optimized GPT model for repository edits, reviews, and agentic software work
Line
GPT Codex Spark
Weights
API only
Released
2026-02-05
Context
128K
Input
$1.75 / 1M
Output
$14.00 / 1M
Max output
32K
Coverage
not covered yet
Overview
GPT-5.3 Codex Spark is a coding-optimized GPT model from OpenAI for repository edits, reviews, and agentic software work. It is the first version of the gpt-codex-spark line in the registry. It has a 128000-token context window and a 32000-token output limit. It accepts image, pdf, and text inputs and returns text. It supports reasoning mode and tool calling. Weights are not open. Pricing starts at $1.75 per million input tokens and $14.00 per million output tokens, with cached input at $0.175 per million tokens.
Specs
Pricing
First version of its line in the registry.
Strengths
- 128k token context window for large codebases
- 32k token max output for long edits
- Supports reasoning mode and tool calling
- Accepts image, pdf, and text inputs
- Coding-optimized for repository edits and reviews
Best for
- Reach for it for editing large repositories
- Reach for it for code review tasks
- Reach for it for agentic software workflows
- Reach for it for analyzing code with images or PDFs
How to access
3 hosts serve this model at the price above · the maker's documentation
GPT Codex Spark: every version
The registry keeps the six most recent versions of a line. Older ones stay in the file and can be surfaced without a rebuild.
FAQ
- What is the context window and output limit?
- The context window is 128000 tokens and the maximum output is 32000 tokens.
- Does it support tool calling and reasoning mode?
- Yes, it supports both reasoning mode and tool calling.
- What is the pricing?
- Input tokens cost from $1.75 per million, output tokens $14.00 per million, and cached input $0.175 per million.