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Model details

GPT-5 (Azure)

GPT-5 is positioned as a next-generation large language model from OpenAI that emphasizes reasoning-first behavior, building on the thinking-model paradigm that emerged after GPT-4-class systems hit ceilings on advanced mathematical, multi-step logical, and scientific tasks. Third-party commentary places GPT-5 alongside OpenAI's reasoning-oriented work and contrasts it with peer efforts such as Moonshot's Kimi K2 Thinking, framing it as a flagship model for complex problem solving rather than simple chat. The Azure-hosted variant documented here makes that capability available through Microsoft cloud tooling, including Azure AI Foundry and Copilot products like Microsoft 365 Copilot and GitHub Copilot, where GPT-5 powers the Smart Mode experience designed for faster responses and broader access across enterprise workflows.

In practice, GPT-5 (Azure) is aimed at developers and organizations who need a single, reasoning-capable model that can handle demanding analytical tasks while integrating with existing Microsoft tooling. The model is designed to support multimodal input, including images alongside text, and to expose structured outputs and tool calling for agent-style applications, making it suitable for code assistance, document understanding, and automated research pipelines built on Azure. By being available through Azure AI Foundry, GPT-5 fits naturally into enterprise environments that already standardize on Microsoft cloud infrastructure, giving teams a path to advanced reasoning models without leaving their existing deployment stack.

LLM Gatewayazure/gpt-5gpt

Quick Info

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Provider
LLM Gateway
Model key
azure/gpt-5
Release date
Aug 7, 2025
Last updated
Aug 7, 2025
Knowledge cutoff
2024-09-30
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.25
Output token cost
$10.00

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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