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Model details

GPT-5.2 Codex

GPT-5.2-Codex sits within OpenAI's Codex line of agentic coding models and was positioned as the frontier coding-performance benchmark that the later GPT-5.3-Codex release explicitly built upon. According to OpenAI's GPT-5.3-Codex announcement, the successor model "advances both the frontier coding performance of GPT-5.2-Codex and the reasoning and professional knowledge capabilities of GPT-5.2, together in one model, which is also 25% faster," confirming GPT-5.2-Codex's role as the coding backbone of the family before that consolidation step.

The release drew strong community interest, with an OpenAI-hosted introduction page shared on Hacker News on 2025-12-14 accumulating 589 points and 318 comments, where practitioners highlighted careful bug-finding and methodical review as standout strengths compared with competing coding assistants. GPT-5.2-Codex is best understood as a specialist agent tuned for real software engineering tasks such as code review, multi-step debugging, and tool-assisted workflows, and it remains the immediate predecessor that established the coding frontier the newer unified model inherited and extended.

Abacusgpt-5.2-codexgpt-codex

Quick Info

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Provider
Abacus
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

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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,

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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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