GPT-3.5 Turbo 16K API Pricing
As of October 10, 2026, GPT-3.5 Turbo 16K costs $3.00 per 1M input tokens and $4.00 per 1M output tokens on OpenAI. It has a 16,385-token context window and returns up to 4,096 tokens per response.
gpt-3.5-turbo-16k.- Input
- $3.00 / 1M tokens
- Output
- $4.00 / 1M tokens
- Context window
- 16,385 tokens
- Max output
- 4,096 tokens
- Providers
- 1
GPT-3.5 Turbo 16K pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| OpenAI | gpt-3.5-turbo-16k | $3.00 | $4.00 | 16K |
What GPT-3.5 Turbo 16K costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| OpenAI | $8.00 |
GPT-3.5 Turbo 16K features
- Prompt caching
Use GPT-3.5 Turbo 16K with LiteLLM
Call GPT-3.5 Turbo 16K through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="gpt-3.5-turbo-16k",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: gpt-3.5-turbo-16k
litellm_params:
model: gpt-3.5-turbo-16k
api_key: os.environ/OPENAI_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "gpt-3.5-turbo-16k",
"messages": [{"role": "user", "content": "Hello!"}]
}'GPT-3.5 Turbo 16K FAQ
How much does GPT-3.5 Turbo 16K cost?
GPT-3.5 Turbo 16K costs $3.00 per 1M input tokens and $4.00 per 1M output tokens on OpenAI.
What is the context window of GPT-3.5 Turbo 16K?
GPT-3.5 Turbo 16K has a 16,385-token context window and returns up to 4,096 tokens per response.
Which providers offer GPT-3.5 Turbo 16K?
GPT-3.5 Turbo 16K is available from OpenAI through LiteLLM, using the model name gpt-3.5-turbo-16k.
How do I call GPT-3.5 Turbo 16K with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="gpt-3.5-turbo-16k", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does GPT-3.5 Turbo 16K support?
GPT-3.5 Turbo 16K supports prompt caching.
Is GPT-3.5 Turbo 16K being deprecated?
OpenAI lists a deprecation date of October 23, 2026 for gpt-3.5-turbo-16k.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.
LiteLLM docs: OpenAI.
Provider pages: OpenAI.
