Azure OpenAI exposes GPT-3.5 Turbo (Instruct) through model ID gpt-3.5-turbo-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-01. Next refresh: weekly.
Quick Start
- 1
- 2Use the Azure OpenAI SDK or REST API to call
gpt-3.5-turbo-instruct— see the documentation for request format. - 3
Code Examples
pip install openaiAZURE_OPENAI_API_KEYgpt-3.5-turbo-instructgpt-3.5-turbo-instruct 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-3.5-turbo-instruct", # your deployment name
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Azure OpenAI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $2.00 |
Capabilities
About GPT-3.5 Turbo (Instruct)
GPT-3.5 Turbo Instruct by OpenAI is designed to excel in precise instruction following and task completion, focusing on accuracy and clarity over conversational abilities. It offers key enhancements like efficient instruction adherence, reduced hallucination, and lower toxicity compared to previous models. Compatible with legacy completion endpoints, it retains the speed and affordability of the standard GPT-3.5 Turbo model while using a 4K context window and training data up to September 2021. Not specifically built for chat, it still supports diverse tasks like question answering, text completion, and code generation, aiming to enhance AI usability with safer and more accurate interactions.