Verified 2026-03-06 · sourced from OpenAI

GPT-5.4 Pro Token Calculator & Cost Guide

Estimate OpenAI GPT-5.4 Pro API usage in dollars before you send a single request. Standard pricing is $30.00 per million input tokens and $180.00 per million output tokens with a 1.1M token context window.

Context window

1,050,000 tokens

Input price

$30.00 / 1M

Output price

$180.00 / 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$0.0591
Coding assistant session
Multi-turn pair programming exchange (≈6 turns)
2,6001,4004,000$0.330
Knowledge base response
Retrieval-augmented answer referencing multiple passages
12,0003,00015,000$0.900
Near-max context run
Large document processing approaching the 1.1M token limit
924,000126,0001,050,000$50.40

Daily & monthly budgeting

Translate usage into predictable operating expenses across popular deployment sizes.

ProfileRequests/dayTokens/dayDaily costMonthly cost
Team pilot2575,000$6.00$180.00
Product launch100500,000$37.50$1125.00
Enterprise scale5003,000,000$240.00$7200.00

Pricing notes

  • Premium GPT-5.4 tier released on March 5, 2026.
  • 1,050,000 token context window and 128,000 max output tokens.
  • OpenAI does not currently publish a cached-input price for GPT-5.4 Pro.

Frequently asked questions

How much does GPT-5.4 Pro cost per 1,000 tokens?

At the published rates of $30.00 per million input tokens and $180.00 per million output tokens, a typical 1,000 token request (≈70% input, 30% output) costs about $0.0750.

What is the context window for GPT-5.4 Pro?

GPT-5.4 Pro supports up to 1,050,000 tokens (1.1M), allowing large prompts and retrieval-augmented payloads in a single call.

How fresh is the GPT-5.4 Pro pricing data?

Pricing is sourced from https://openai.com/api/pricing/ and was last verified on 2026-03-06. The calculator updates automatically when models.json is refreshed.

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