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Model details

GPT-5.2 Codex

GPT-5.2 Codex is a specialized variant of the broader GPT-5.2 family, purpose-built for agentic coding within the Codex environment. It is positioned as the most advanced agentic coding model released to date, designed for complex, real-world software engineering workflows. Rather than a general-purpose assistant, the model targets professional developers who need sustained, multi-step coding assistance integrated into development pipelines.

The model brings several meaningful improvements for long-running and large-scale engineering work. Context compaction allows it to handle long-horizon tasks more effectively, while stronger performance on large code changes such as refactors and migrations makes it well suited to project-scale operations. Windows environment performance has been notably improved, broadening its applicability across development stacks. In addition, GPT-5.2 Codex exhibits significantly stronger cybersecurity capabilities than prior releases, enabling more effective defensive security work, though it does not reach the highest tier of cyber capability. Together these qualities make it a strong fit for teams tackling substantial codebases, modernization projects, and security-focused development tasks.

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Quick Info

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Provider
AIHubMix
Model key
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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