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Model details

GPT-5.2 (Azure)

Azure AI Foundry catalogs GPT-5.2 alongside other frontier-scale systems such as Claude Opus 4.6 and DeepSeek V3.1, positioning the model as part of a broad enterprise foundation model lineup that developers can wire into autonomous, multi-step workflows. In documented Foundry integration guidance, GPT-5.2 is treated as an "underlying model" powering local agent frameworks like OpenClaw, where the focus is on pairing the model with tool execution, shell control, and browser automation to deliver task-completing assistants rather than purely conversational responses. This framing suggests GPT-5.2 is intended for production agentic use cases where reasoning quality, instruction following, and stable integration with downstream tools matter more than isolated chat quality.

Because GPT-5.2 is delivered through Foundry's enterprise model catalog, practical deployment fits naturally into existing Azure estates that already host Foundry-based copilots and agent runtimes. The same Foundry surface is used to orchestrate cross-application copilots across Office, Teams, and cloud management tooling, so teams adopting GPT-5.2 can inherit familiar identity, networking, and observability controls rather than standing up a separate inference stack. For practitioners, the model is best suited to complex autonomous workflows that combine planning, tool use, and structured outputs, where Foundry's configuration model lets teams select GPT-5.2 as the reasoning engine behind locally orchestrated agents.

LLM Gatewayazure/gpt-5.2gpt

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Provider
LLM Gateway
Model key
azure/gpt-5.2
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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CoverageBenchmark

The PM-AGI benchmark v2.1 page (live public leaderboard) explicitly lists GPT-5.2 (Azure OpenAI) among seven frontier models tested across 494 expert questions in five performance-marketing reasoning categories. GPT-5.2 scored 99 in Knowledge Recall, 100 in Adversarial, 98 in Diagnostic, 95 in Quantitative, and 90 in C Claude Opus 4.7i led with 98.5% overall, while GPT-5.5 trailed at 80.0%. Caveats: the evaluation is narrowly scoped to performance marketing, authored by a vendor (Hawky) with potential question-selection bias, and version labels depend on third-party leaderboard accuracy rather than primary documentation. Nevertheless

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