GPT · Mid-tier · 128K context window

GPT 5.4 pricing for categorization

$0.004250 per call at 800 input / 150 output tokens.

Per call

$0.004250

10K calls/mo

$42.5

Cache savings

90% off input

Batch savings

50% off all

Calculate your GPT 5.4 costs

Adjust token counts, volume, and discount toggles to model your categorization spend. Pricing updated weekly.

Configure your usage

800
100100K
150
5050K
10,000
1001M

Estimated cost

Monthly cost
$43
10,000 calls/month
Cost per call$0.004250
Daily cost$1
Input rate$2.50/MTok
Output rate$15.00/MTok
Analyze your real spend

Quick start

Call GPT 5.4 with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5.4",
    max_tokens=150,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.004250 per call at standard rates
# Input:  $2.50/MTok
# Output: $15.00/MTok

Complete GPT 5.4 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$2.50800
Output$15.00150

Prompt caching: 90% off input tokens

Caching drops input cost from $2.50 to $0.25/MTok. For repeated system prompts, that saves $0.001800 per call.

Batch API: 50% off all tokens

Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.004250$42.5$24.5$18
50,000 calls$0.004250$212.5$122.5$90
100,000 calls$0.004250$425$245$180
500,000 calls$0.004250$2,125$1,225$900
1,000,000 calls$0.004250$4,250$2,450$1,800

GPT 5.4 quality benchmarks for categorization

GPT 5.4 is a solid pick for categorization

Scores 88/100 (rank #1 of 14). Good balance of quality and cost for categorization.

Top-ranked: Gemini 3.5 Flash (92/100) at $0.002550/call

Performance across all task types

GPT 5.4 scores by task type. Categorization highlighted.

Summarization91Q&A91Extraction89Classification *88Code Generation84Code Review82Reasoning80Creative Writing78
Task typeConfidence scoreRank out of 14
Summarization91/100#1
Q&A91/100#1
Extraction89/100#1
Classification(current page)88/100#1
Code Generation84/100#4
Code Review82/100#5
Reasoning80/100#5
Creative Writing78/100#5

Alternative models for categorization

13 models score 80+ on categorization benchmarks, sorted by input rate. Cheapest: Gemini 3.5 Flash-Lite (90% less, 85/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
Gemini 3.5 Flash-LiteGemini$0.25$1.5085/100$0.00042590% cheaper
Gemini 3 FlashGemini$0.50$3.0088/100$0.00085080% cheaper
Claude Haiku 4.5Claude$1.00$5.0090/100$0.00155064% cheaper
GPT 5.6 LunaGPT$1.00$6.0091/100$0.00170060% cheaper
Gemini 3.5 FlashGemini$1.50$9.0092/100$0.00255040% cheaper
Claude Sonnet 5Claude$2.00$10.0086/100$0.00310027% cheaper
Gemini 3.1 ProGemini$2.00$12.0086/100$0.00340020% cheaper
GPT 5.6 TerraGPT$2.50$15.0089/100$0.004250same cost
Claude Sonnet 4.6Claude$3.00$15.0084/100$0.0046509% more
Claude Opus 4.8Claude$5.00$25.0080/100$0.00775082% more
GPT 5.5GPT$5.00$30.0085/100$0.008500100% more
GPT 5.6 SolGPT$5.00$30.0086/100$0.008500100% more
Claude Fable 5Claude$10.00$50.0082/100$0.0155265% more

About GPT 5.4

Provider

GPT

Tier

Mid-tier

Context

128K tokens

Released

Mar 2026

Other models from GPT

ModelTierInput $/MTokOutput $/MTokContext
GPT 5.5Flagship$5.00$30.00128K
GPT 5.6 SolFlagship$5.00$30.001,000K
GPT 5.6 TerraMid-tier$2.50$15.001,000K
GPT 5.6 LunaFast / Budget$1.00$6.001,000K

You can compare GPT 5.4 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions

How much does GPT 5.4 cost for categorization per API call?

$0.004250 per call at 800 input / 150 output tokens.

Is GPT 5.4 the best model for categorization?

Scores 88/100, rank #1 of 14 models. Top-ranked: Gemini 3.5 Flash at 92/100.

What is the cheapest model for categorization with good quality?

Gemini 3.5 Flash-Lite scores 85/100 quality at $0.25/$1.50 per MTok. That is 90% less than GPT 5.4 per call.

How can I reduce my GPT 5.4 costs for categorization?

Three strategies: prompt caching (90% off input), batch API (50% off all tokens), prompt optimization. Combined: $0.004250 drops to about $0.000213 per call.

How does GPT 5.4 pricing compare to other GPT models?

GPT also offers: GPT 5.5 at $5.00/$30.00, GPT 5.6 Sol at $5.00/$30.00, GPT 5.6 Terra at $2.50/$15.00, GPT 5.6 Luna at $1.00/$6.00.

What context window does GPT 5.4 support?

128K tokens total. Typical categorization calls use 800 plus 150 tokens, well within limits.

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This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.