GPT-5 Codex
GPT-5 Codex is an AI model published by OpenAI, released on 2025-09-15, for Coding model, and 400K context length, with a 74.50 score on SWE-bench Verified.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $1.25/ 1M tokens | $10.00/ 1M tokens |
| Image | - | $1.25/ 1M tokens | — |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | - | $0.0000/ 1M tokens | $0.125/ 1M tokens |
| Text | - | $0.0000/ 1M tokens Cache = write | — |
| Text | - | — | $0.125/ 1M tokens Cache = hit |
| Image | - | $0.0000/ 1M tokens Cache = write | — |
| Image | - | — | $0.125/ 1M tokens Cache = hit |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
GPT-5 Codex currently shows benchmark results led by SWE-bench Verified (41 / 116, score 74.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Coding and Software Engineer
1 evaluationsPublisher
Model Overview
GPT-5 Codex is an AI model published by OpenAI, released on 2025-09-15, for Coding model, and 400K context length, with a 74.50 score on SWE-bench Verified.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
