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Model details

GPT-5 Mini (Azure)

GPT-5 Mini (Azure) is a deployment of OpenAI's GPT-5 family hosted through the Microsoft Azure channel, marketed as a faster and more cost-efficient alternative to the full GPT-5 model. The listing characterizes it as well suited to well-defined tasks and precise prompting, suggesting a design focus on narrower, instruction-following workloads rather than open-ended generative use. Its placement within the broader GPT-5 family lineage points to shared underlying architecture and training approach with the flagship model, but optimized for latency and budget-sensitive scenarios.

On the Azure deployment, the model supports tool invocation and reasoning capabilities, indicating it can participate in agent-style workflows that require function calls and deliberate multi-step thinking. Because it is delivered directly through Azure with no built-in filtering, the hosting environment provides enterprise-grade routing while leaving safety and policy enforcement to the deploying application. This makes the variant a practical fit for organizations already standardized on Azure infrastructure who want a lighter GPT-5-class model for routine reasoning, structured task automation, and tool-augmented assistants.

LLM Gatewayazure/gpt-5-minigpt-mini

Quick Info

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Provider
LLM Gateway
Model key
azure/gpt-5-mini
Release date
Aug 7, 2025
Last updated
Aug 7, 2025
Knowledge cutoff
2024-05-30
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.25
Output token cost
$2.00

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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