LLM Reference
Azure OpenAI

Using GPT-4o on Azure OpenAI

Implementation guide · GPT-4o · OpenAI

Serverless

Azure OpenAI exposes GPT-4o through model ID gpt-4o. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-10. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Azure OpenAI and generate an API key.
  2. 2
    Use the Azure OpenAI SDK or REST API to call gpt-4o — see the documentation for request format.

Code Examples

Install
pip install openai
API key
AZURE_OPENAI_API_KEY
Model ID
gpt-4o

gpt-4o is your Azure deployment name, not the underlying model name. Deployment names are set when you deploy a model in Azure AI Foundry / Azure OpenAI Studio.

import os
from openai import AzureOpenAI

client = AzureOpenAI(
    azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],  # e.g. https://{resource}.openai.azure.com
    api_key=os.environ["AZURE_OPENAI_API_KEY"],
    api_version="2024-02-01"
)
response = client.chat.completions.create(
    model="gpt-4o",  # your deployment name
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Azure OpenAI

Capabilities

VisionMultimodalJSON / Tool useStructured OutputsCode ExecutionPrompt CachingBatch APIFine-tuning

About GPT-4o

OpenAI GPT-4o: Flagship multimodal model with vision, function calling, and broad capability. $2.50/M input, $10/M output.

Model Specs

Released2024-05-13
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-10

Provider

Azure OpenAI
Azure OpenAI

Microsoft

Redmond, Washington, United States