OpenAI: GPT-3.5-Turbo-RawWork with me

OpenAI: GPT-3.5-Turbo-Raw

byOpenAI

GPT-3.5-Turbo-Raw is a language model from OpenAI released on Sep 27, 2023. It reads text and images and writes text, with a 5K token context window and up to 2K tokens per reply.

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It costs $0.45 per million input tokens and $1.40 per million output tokens.

It supports tool calling.

Modalities
In / out price
$0.45 / $1.40 per 1M
Context
5K
Max output
2K
Released
Sep 27, 2023
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

GPT-3.5-Turbo-Raw 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$0.45 / 1M tokens
Output$1.40 / 1M tokens

What GPT-3.5-Turbo-Raw costs per month

Pick a workload close to yours or type your own volumes.

GPT-3.5-Turbo-Raw per month
$48.45
Without caching
$48.45
Per request
$0.0016

Supported request parameters

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

  • Toolstools

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GPT-3.5-Turbo-Raw questions

How much does the GPT-3.5-Turbo-Raw API cost?

$0.45 per million input tokens and $1.40 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-Raw?

4,524 tokens of input, and it can write up to 2,048 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Does GPT-3.5-Turbo-Raw support tool calling?

Yes. It accepts tool definitions, which is what an agent needs to call your APIs.

Is GPT-3.5-Turbo-Raw 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-Raw released?

Sep 27, 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-Raw?

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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