OpenAI: GPT-3.5 Turbo 16k
GPT-3.5 Turbo 16k is a language model from OpenAI released on Aug 28, 2023. It reads text and files and writes text, with a 16K token context window and up to 4K tokens per reply.
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It costs $3 per million input tokens and $4 per million output tokens.
It supports tool calling and structured JSON output.
- Modalities
- In / out price
- $3 / $4 per 1M
- Context
- 16K
- Max output
- 4K
- Released
- Aug 28, 2023
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
GPT-3.5 Turbo 16k pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $3 / 1M tokens | |
|---|---|---|
| Output | $4 / 1M tokens |
What GPT-3.5 Turbo 16k costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call GPT-3.5 Turbo 16k through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Temperature
temperature
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GPT-3.5 Turbo 16k questions
How much does the GPT-3.5 Turbo 16k API cost?
$3 per million input tokens and $4 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of GPT-3.5 Turbo 16k?
16,385 tokens of input, and it can write up to 4,096 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does GPT-3.5 Turbo 16k support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is GPT-3.5 Turbo 16k open source?
No. OpenAI serves it through an API only, so you cannot download the weights or host it yourself.
When was GPT-3.5 Turbo 16k released?
Aug 28, 2023.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on GPT-3.5 Turbo 16k?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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