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Model details

GPT-5.2 Codex

GPT-5.2-Codex serves as a specialized agentic engine built to handle the complexities of professional software engineering. By evolving from the GPT-5.2 architecture, this model is specifically optimized for long-horizon tasks, such as large-scale code migrations, refactoring, and managing intricate dependency structures. It is designed to act as a reasoning partner for developers, capable of interpreting imperfect inputs like legacy code, partial documentation, and visual diagrams to assist in feature development and debugging. Its architecture emphasizes steerability and adherence to instructions, ensuring that the generated code is cleaner and more reliable for enterprise-grade environments.

The model incorporates advanced reasoning capabilities that allow it to sustain multi-hour execution runs, making it well-suited for independent, complex engineering projects. Through its integration with developer tools like CLI and IDE extensions, it supports dynamic reasoning adjustments, enabling it to balance speed for minor tasks with deep analysis for critical code reviews. Beyond standard generation, the model is trained to validate code against tests and reason over dependencies, which significantly enhances its utility in identifying vulnerabilities and strengthening cybersecurity. This focus on agentic workflows and secure, context-aware assistance positions it as a robust solution for teams looking to automate high-stakes development cycles.

OpenRouteropenai/gpt-5.2-codexgpt-codex

Quick Info

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Provider
OpenRouter
Model key
openai/gpt-5.2-codex
Release date
Dec 11, 2025
Last updated
Dec 11, 2025
Knowledge cutoff
2025-08-31
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.75
Output token cost
$14.00

Limits

Input tokens
272,000 tokens
Output tokens
128,000 tokens
Context window
400,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GPT-5.2 Codex

Abacus

CoverageBenchmark

This Magica model directory page lists GPT-5.2-Codex as developed by OpenAI with a context window of 400K tokens, an output limit of 128K tokens, and a release date of January 14, 2026. The page reports pricing at $1.75 per million input tokens, $14.00 per million output tokens, $0.01 per web search, and $0.175 per mil The page also reports a Best Design Arena Score of 1,176 Elo, placing GPT-5.2-Codex 19th in the Android Native category with a 47.5% win rate, sourced from arena comparisons. According to the supplied excerpt, the page includes comparison widgets pairing GPT-5.2-Codex against models such as GPT-5.6 Luna, GLM 5.3 Flash,

OrcaRouter

Coverage

A third-party model registry entry for GPT-5.2 Codex lists it as a closed-source, proprietary dense model with a 400K context length, text modality, and a stated July 2025 knowledge cutoff. It frames the model as specialized for autonomous multi-file refactoring, visual UI debugging, and secure system design, with pers The same page reports LiveBench category scores including Coding 0.84, Data Analysis 0.78, Global 0.74, Agentic Coding 0.49, Mathematics 0.89, Average 0.74, Reasoning 0.78, and a WebDev Arena score of 1338, giving an overall rank of 84 and a Coding rank of 37. These benchmark figures have unverified provenance and meth

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