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CostPerPrompt

GPT-3.5 Turbo API Pricing

OpenAI · context window 16K · prices updated 2026-08-02

Input per 1M tokens
$0.5
Output per 1M tokens
$1.50
Cached input per 1M

What real workloads cost on GPT-3.5 Turbo

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0005 $14.25
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.0046 $69.00
Document pipeline, 10K docs/day (3K in / 500 out) $0.0023 $675

Model your exact traffic in the API cost calculator — it preloads GPT-3.5 Turbo with caching and batch options.

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Frequently asked questions

How much does the GPT-3.5 Turbo API cost?

GPT-3.5 Turbo costs $0.5 per million input tokens and $1.50 per million output tokens. In practice, a typical short request (500 tokens in, 150 out) costs about $0.0005.

What does 1,000 requests per day cost on GPT-3.5 Turbo?

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $14.25 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

How can I reduce GPT-3.5 Turbo costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep GPT-3.5 Turbo for hard cases; (2) enable prompt caching, which typically halves chatbot bills; (3) use the batch API for non-urgent jobs at a ~50% discount.

Is GPT-3.5 Turbo worth the price?

It depends on task difficulty. Flagship models earn their premium on complex reasoning, coding, and high-stakes output; mini/flash tiers handle classification, extraction and routine chat at 10–30× lower cost. Benchmark a sample of your real workload on both before committing.