OpenAI

GPT-3.5 Turbo

Public pricingSmall memoryTool use

GPT-3.5 Turbo is OpenAI's small-memory model with tool use. This page shows current pricing, an interactive cost calculator, and a side-by-side with similar models.

Input

$0.50/1M tokens

Output

$1.50/1M tokens

Cached

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Batch

$0.25/1M tokens

Interactive

Calculate your GPT-3.5 Turbo bill.

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What would GPT-3.5 Turbo cost you?

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Technical specifications

GPT-3.5 Turbo at a glance.

Memory

16,385

tokens

Max reply

4,096

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

tiktoken-cl100k

Released

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Training cutoff

—

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick GPT-3.5 Turbo

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

GPT-3.5 Turbo — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GPT-3.5 Turbo costs roughly $98 per month. Input is $0.50 /1M tokens and output is $1.50 /1M tokens.
GPT-3.5 Turbo has a 16,385-token context window (small memory — a few emails or a short document). That means you can fit about 3,072 words of input and history in a single call.
Beyond text generation, GPT-3.5 Turbo supports calling functions / tools, strict JSON output. It streams replies by default.
Models in a similar class include GPT-4.1 mini, gpt-oss-20B, GPT-4o mini. The "Similar models" section below this FAQ links into each.

Still unsure?

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