openai

OpenAI: GPT-3.5 Turbo (batch)

GPT-3.5 Turbo (batch) from OpenAI is designed for handling text inputs with an impressive context length of 16,385 tokens and supports integration with external tools. However, it does not natively support complex reasoning or structured output. This model excels in processing large volumes of text but lacks the ability to perform sophisticated logical deductions or generate highly structured outputs like JSON or tables. Given its pricing at $0.25 per million input tokens and $0.75 per million output tokens, GPT-3.5 Turbo is more suited for projects where cost efficiency is a priority and complex reasoning isn't required. Due to the lack of independent benchmark coverage, users should carefully consider their specific needs before shortlisting this model.

Quality Score
71/100
price + capability + benchmarks
Input Price
$0.25
per 1M tokens
Output Price
$0.75
per 1M tokens
Context Window
16,385
tokens
Model ID
openai/gpt-3.5-turbo:batch
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 $0.25/M input and $0.75/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out under $0.01
Classify 1,000 customer emails 500k in / 50k out $0.16
A month of a busy support chatbot 5M in / 2M out $2.75

Similar models

Quick answers

How much does OpenAI: GPT-3.5 Turbo (batch) cost?
$0.25 per million input tokens and $0.75 per million output tokens.
What is OpenAI: GPT-3.5 Turbo (batch)'s context window?
16,385 tokens, roughly 24 pages of text in a single request.
Does OpenAI: GPT-3.5 Turbo (batch) support tool calling?
It supports tool calling, structured output.
Can OpenAI: GPT-3.5 Turbo (batch) process images?
No, it is text-only on the input side.