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Model details

GPT-5.2 Codex

GPT-5.2 Codex is a specialized variant of the GPT-5.2 family, further optimized for agentic coding inside the Codex environment. It targets long-horizon software engineering tasks through context compaction, handling substantial code changes such as refactors and migrations with improved fluency on Windows-based workflows. Its dense architecture and the cataloged API limit total window, expressed as an input ceiling near the cataloged API limit tokens and an output ceiling near the cataloged API limit tokens, are designed to keep large repositories, multi-file diffs, and extended session history within reach during sustained agentic runs. The closed-weights model also carries the strongest defensive cybersecurity capability OpenAI has shipped to date, reflecting the broader capability jumps observed as the family's intelligence frontier advances.

In practical ranking terms, GPT-5.2 Codex holds a coding rank in the upper thirties on the LiveBench leaderboard, anchored by a 0.84 LiveBench Coding score and a 0.89 Mathematics score, complemented by a 0.78 Reasoning mark and a WebDev Arena score of 1338. Agentic Coding sits lower at 0.49, signaling room to grow on autonomous task execution compared with its successor, GPT-5.3 Codex, which sets a new high on SWE-Bench Pro and Terminal-Bench while being 25% faster. GPT-5.2 Codex therefore fits teams that want a coding-first specialist with mature Windows support, strong refactor handling, and elevated cyber defensive depth, and who may later step up to the next release for state-of-the-art agentic performance.

Impossiblopenai/gpt-5.2-codexgpt-codex

Quick Info

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Provider
Impossibl
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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