Last refreshed 2026-04-27. Next refresh: weekly.
Why use GPT-3.5 Turbo 16k on Azure OpenAI?
Azure OpenAI offers GPT-3.5 Turbo 16k with pay-as-you-go pricing at $0.50/1M input tokens. Azure OpenAI Service hosts OpenAI's GPT-4o, GPT-4, GPT-3.5, and embedding models on Microsoft Azure with enterprise SLAs.
Compare GPT-3.5 Turbo 16k across 3 providers to find the best fit for your use caseSetup recipe
Python + curlpip install openaiexport AZURE_OPENAI_API_KEY=...import os
from openai import AzureOpenAI
client = AzureOpenAI(
azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"], # e.g. https://{resource}.openai.azure.comgpt-3.5-turbo-16kRequest example
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-16k", # your deployment name
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- gpt-3.5-turbo-16k 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.
- The examples expect AZURE_OPENAI_API_KEY; rename it only if your application config maps the new variable.
Compare GPT-3.5 Turbo 16k Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Azure OpenAI | $0.50 | $2.00 |
| Salesforce Einstein Generative AI | — | — |
| OpenRouter | $3.00 | $4.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $2.00 |
Capabilities
About GPT-3.5 Turbo 16k
GPT-3.5 Turbo 16k, developed by OpenAI, is an advanced language model featuring a significantly enhanced context window of 16,384 tokens—four times larger than its predecessor's 4,096 tokens 245. This extension allows it to process and comprehend extended texts, up to approximately 20 pages, in a single interaction, while maintaining the speed and efficiency of earlier versions 10. Although it is a chat-centric model not compatible with the completions endpoint 8, it remains highly effective for tasks requiring prolonged relevance and coherence through OpenAI's API 46.