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Model details

GPT-5.2 Codex (Azure)

GPT-5.2 Codex sits within the gpt-codex family and is surfaced through an Azure-hosted deployment path, where it can be selected from the Microsoft Foundry catalog and connected to external tooling such as the OpenClaw agent via the azure-openai-responses provider. The supplied community guidance frames the model as part of a coding-oriented workflow, with the deployment tutorial directing developers to choose gpt-5.2-codex during OpenClaw initialization and to route requests through Foundry endpoints. Beyond this deployment wiring, no creator-issued documentation, model card, or technical report is included in the evidence packet, so claims about architecture, training, or underlying design choices cannot be made on the current sources.

In practical terms, the model is positioned for agentic and coding assistant use cases that benefit from a deployed Azure endpoint, including tool-driven workflows and integration with third-party orchestration layers. The evidence supports only this deployment-and-integration picture, so any deeper comparison of strengths, benchmark standing, or specialization relative to other Codex variants would go beyond what the available sources establish. Readers should treat GPT-5.2 Codex (Azure) as a Foundry-hosted coding-focused option whose distinguishing qualities await confirmation from primary creator documentation, while the available guidance confirms it is selectable for agentic pipelines and can serve as the reasoning layer behind external coding agents.

LLM Gatewayazure/gpt-5.2-codexgpt-codex

Quick Info

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Provider
LLM Gateway
Model key
azure/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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