Skip to content
CostPerPrompt

o1 API Pricing

OpenAI · context window 200K · prices updated 2026-08-02

Input per 1M tokens
$15.00
Output per 1M tokens
$60.00
Cached input per 1M
$7.50
50% cheaper than fresh input

What real workloads cost on o1

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0165 $495
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.159 $2385
Document pipeline, 10K docs/day (3K in / 500 out) $0.075 $22500

Model your exact traffic in the API cost calculator — it preloads o1 with caching and batch options.

Cheaper alternatives

More OpenAI models

Frequently asked questions

How much does the o1 API cost?

o1 costs $15.00 per million input tokens and $60.00 per million output tokens, with cached input at $7.50 per million (50% cheaper). In practice, a typical short request (500 tokens in, 150 out) costs about $0.0165.

What does 1,000 requests per day cost on o1?

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $495 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

How can I reduce o1 costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep o1 for hard cases; (2) enable prompt caching — cached input is 50% cheaper, which typically halves chatbot bills; (3) use the batch API for non-urgent jobs at a ~50% discount.

Is o1 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.