Azure OpenAI exposes GPT-4o (05-13) through model ID gpt-4o-2024-05-13. 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
- 2Use the Azure OpenAI SDK or REST API to call
gpt-4o-2024-05-13— see the documentation for request format. - 3
Code Examples
pip install openaiAZURE_OPENAI_API_KEYgpt-4o-2024-05-13gpt-4o-2024-05-13 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-2024-05-13", # your deployment name
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Azure OpenAI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $5.00 |
| Output tokens | $15.00 |
Capabilities
About GPT-4o (05-13)
GPT-4o, or GPT-4 Omni, is OpenAI's premier multimodal AI model, introduced on May 13, 2024. It is designed to handle and generate content from various input types, including text, audio, and visual data, using a unified model, unlike its predecessors which required separate models for different modalities. This model is notable for its rapid response times averaging 320 milliseconds, which align with human conversational speed, along with being 50% more cost-effective than GPT-4 Turbo. Although it mirrors GPT-4 Turbo in standard benchmark performance, GPT-4o excels in multilingual, audio, and vision tasks.