Verified 2025-09-22 · sourced from OpenAI

o3 Token Calculator & Cost Guide

Estimate OpenAI o3 API usage in dollars before you send a single request. Standard pricing is $2.00 per million input tokens and $8.00 per million output tokens with a 200K token context window.

Context window

200,000 tokens

Input price

$2.00 / 1M

Output price

$8.00 / 1M

Cached input

Not published

Usage scenarios

Compare standard and cached pricing (where available) across common workloads.

ScenarioTokens inTokens outTotal tokensStandard cost
Quick chat reply
Single user question with a short assistant answer
650220870$0.0031
Coding assistant session
Multi-turn pair programming exchange (≈6 turns)
2,6001,4004,000$0.0164
Knowledge base response
Retrieval-augmented answer referencing multiple passages
12,0003,00015,000$0.0480
Near-max context run
Large document processing approaching the 200K token limit
176,00024,000200,000$0.544

Daily & monthly budgeting

Translate usage into predictable operating expenses across popular deployment sizes.

ProfileRequests/dayTokens/dayDaily costMonthly cost
Team pilot2575,000$0.300$9.00
Product launch100500,000$1.90$57.00
Enterprise scale5003,000,000$12.00$360.00

Pricing notes

  • Includes 80% launch discount per OpenAI pricing update.

Frequently asked questions

How much does o3 cost per 1,000 tokens?

At the published rates of $2.00 per million input tokens and $8.00 per million output tokens, a typical 1,000 token request (≈70% input, 30% output) costs about $0.0038.

What is the context window for o3?

o3 supports up to 200,000 tokens (200K), allowing large prompts and retrieval-augmented payloads in a single call.

How fresh is the o3 pricing data?

Pricing is sourced from https://platform.openai.com/docs/pricing and was last verified on 2025-09-22. The calculator updates automatically when models.json is refreshed.

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