Vivgrid
The release of this new model comes shortly after a competing agent-based coding model, Claude Opus 4.6, was introduced by rival AI startup Anthropic.
Model details
GPT-5.2 Codex is an agentic coding model engineered to address the practical challenges of enterprise software development. By functioning as a reasoning engine rather than a simple autocomplete tool, it is designed to handle the complexities of large repositories, legacy code, and evolving project requirements. The model is built to process diverse inputs, including partial documentation, diagrams, and screenshots, allowing it to provide security-aware assistance that integrates directly into professional development workflows.
Optimized specifically for agentic coding tasks, this model serves as a specialized iteration within the broader GPT-5.2 family. It is deployed across major integrated development environments and enterprise platforms, where it supports developers in managing dependencies and streamlining security reviews. By focusing on sustained reasoning and context-heavy engineering tasks, the model provides a robust solution for teams looking to maintain high standards of code quality and security within their existing infrastructure.
Transparent token rates
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
Vivgrid
The release of this new model comes shortly after a competing agent-based coding model, Claude Opus 4.6, was introduced by rival AI startup Anthropic.
Vivgrid
OpenAI launches GPT-5.2 and GPT-5.2-Codex optimized for agentic coding as GPT-4o retires February 13, 2026. Complete migration and implementation guide.
Vivgrid
GPT 5.2 Codex is generally available to Copilot Enterprise, Copilot Business, Copilot Pro, and Copilot Pro+. You’ll now be able to access the model in GitHub Copilot Chat on github.com, GitHub Mobile, Visual Studio Code, Visual Studio, JetBrains IDEs, Xcode, and Eclipse through the chat model picker (agent, ask, and ed
Vivgrid
As something of a recent open technology recap, we can note that (very late last year) OpenAI released GPT-5.2-Codex. This is a version of GPT-5.2 that is optimised for Codex. Codex is OpenAI’s own ...
Abacus
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
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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