openai

OpenAI: GPT-3.5 Turbo

GPT-3.5 Turbo is a text-only model from OpenAI with a 16,385-token context window and a 4,096-token output ceiling. It accepts text input exclusively, supports tool use, and does not offer a reasoning mode or confirmed structured output support. Those constraints make it a straightforward chat and function-calling option rather than a multimodal or deep-reasoning one. At $0.50 per million input tokens and $1.50 per million output tokens, it sits at the lower end of paid model pricing, which is its clearest argument for consideration. However, it currently carries no independent benchmark coverage, so comparative quality claims remain unverified. Buyers prioritizing cost efficiency for high-volume text and tool-calling tasks may find it worth testing, but anyone needing benchmark evidence before committing, or requiring vision, reasoning, or structured output, should look elsewhere first.

Quality Score
71/100
price + capability + benchmarks
Input Price
$0.50
per 1M tokens
Output Price
$1.50
per 1M tokens
Context Window
16,385
tokens
Model ID
openai/gpt-3.5-turbo
Vendor
openai
Released
May 2023
Tokenizer
GPT
Input Modalities
text
Output Modalities
text
Max Output
4,096 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
not supported
Vision
text only
Audio
no
Moderated
yes

What it costs in practice

Computed from the current $0.50/M input and $1.50/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.02
Classify 1,000 customer emails 500k in / 50k out $0.33
A month of a busy support chatbot 5M in / 2M out $5.50

Similar models

Quick answers

How much does OpenAI: GPT-3.5 Turbo cost?
$0.50 per million input tokens and $1.50 per million output tokens.
What is OpenAI: GPT-3.5 Turbo's context window?
16,385 tokens, roughly 24 pages of text in a single request.
Does OpenAI: GPT-3.5 Turbo support tool calling?
It supports tool calling, structured output.
Can OpenAI: GPT-3.5 Turbo process images?
No, it is text-only on the input side.