# 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.

- Page: https://models.litellm.ai/models/gpt-3.5-turbo-16k
- Lab: OpenAI
- LiteLLM model name: `gpt-3.5-turbo-16k`
- Context window: 16,385 tokens
- Max output: 4,096 tokens
- Deprecation date: October 23, 2026
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| OpenAI | `gpt-3.5-turbo-16k` | $3.00 | $4.00 | – | – | – | 16K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- OpenAI: $8.00

## Features

Supported: Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="gpt-3.5-turbo-16k",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## 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.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json