LiteLLMModels

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.

By OpenAIModel ID gpt-3.5-turbo-16kPrices updated Checked
Scheduled for deprecation: OpenAI lists October 23, 2026 as the deprecation date for 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.

ProviderModel name in LiteLLMInputOutputContext
OpenAIgpt-3.5-turbo-16k$3.00$4.0016K

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

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.

Python SDK
from litellm import completion

response = completion(
    model="gpt-3.5-turbo-16k",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: gpt-3.5-turbo-16k
    litellm_params:
      model: gpt-3.5-turbo-16k
      api_key: os.environ/OPENAI_API_KEY
Call the proxy
curl 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.