OpenAI: GPT-3.5 Turbo 16kWork with me

OpenAI: GPT-3.5 Turbo 16k

byOpenAI

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.

GPT-3.5 Turbo 16k per month
$267
Without caching
$267
Per request
$0.0089

Supported request parameters

What you can set when you call GPT-3.5 Turbo 16k through an OpenAI compatible API.

  • Toolstools
  • Structured outputsstructured_outputs
  • Temperaturetemperature

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All OpenAI models

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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