Models Model details

OpenAI

OpenAI: GPT-5.2-Codex

openai/gpt-5.2-codex

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks. The model supports building projects from scratch, feature development, debugging, large-scale refactoring, and code review. Compared to GPT-5.1-Codex, 5.2-Codex is more steerable, adheres closely to developer instructions, and produces cleaner, higher-quality code outputs. Reasoning effort can be adjusted with the `reasoning.effort` parameter. Read the docs here Codex integrates into developer environments including the CLI, IDE extensions, GitHub, and cloud tasks. It adapts reasoning effort dynamically—providing fast responses for small tasks while sustaining extended multi-hour runs for large projects. The model is trained to perform structured code reviews, catching critical flaws by reasoning over dependencies and validating behavior against tests. It also supports multimodal inputs such as images or screenshots for UI development and integrates tool use for search, dependency installation, and environment setup. Codex is intended specifically for agentic coding applications.

Input
$1.75

/ 1M tokens

Output
$14

/ 1M tokens

Context window
400K

tokens

Limits

Context

400,000

tokens

Max output

128,000

32% of the context window

Model facts

Author

OpenAI

Tokenizer

GPT

Modality

Text + Image -> Text

Created

Jan 14, 2026

Reasoning

RequiredDefault MediumXhighHighMediumLow

Publication status

Hugging Face: unavailableLicense: not publishedParameter count: not published

Modalities

Input · TextInput · ImageOutput · Text

Generation controls

Include reasoningMax completion tokensReasoningReasoning effortResponse formatSeedStructured outputsTool choiceToolsVerbosity

Capability scores

28.5
Intelligence index

Better than 69% of models compared

Agent tasks

Category performance

Godot games
Top 66%

1142 Elo

47.8% win

Android apps
Top 60%

1176 Elo

47.5% win

Mobile apps
Top 88%

1087 Elo

46.6% win

Web apps
Top 96%

1042 Elo

39.6% win

Full-stack apps
Top 97%

993 Elo

37.2% win