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GPT · Mid-tier · 1.1M context window

GPT 5.4 pricing for code review

$0.0425 per call at 5,000 input / 2,000 output tokens.

Per call

$0.0425

10K calls/mo

$425

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 code review spend. Prices verified daily against provider pricing pages.

Configure your usage

5,000
100100K
2,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$425
10,000 calls/month
Cost per call$0.0425
Daily cost$14
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=2000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0425 per call at standard rates
# Input:  $2.50/MTok
# Output: $15.00/MTok

How GPT 5.4 compares on cost

Per-call cost for all models scoring 50+ on code review benchmarks. Hover for details.

GPT 5.6 Luna$0.003400Gemini 3.5 Flash-Lite$0.006500Gemini 3 Flash$0.008500Claude Haiku 4.5$0.0150Gemini 3.5 Flash$0.0255Claude Sonnet 5$0.0300GPT 5.6 Terra$0.0340Gemini 3.1 Pro$0.0340GPT 5.4$0.0425Claude Sonnet 4.6$0.0450GPT 5.6 Sol$0.0600Claude Opus 4.8$0.0750GPT 5.5$0.0850Claude Fable 5$0.1500

Cheapest viable option: Claude Sonnet 5 at $0.0300/call (29% less, 96/100 quality).

What drives code review cost

Review is input-heavy in a way generation is not: the diff or file goes in whole, and structured feedback comes back short. That flips the usual optimization: input rate and cache discounts matter more than output rate. Reviewing the same repository repeatedly means the surrounding context is identical call over call, which is exactly the shape prompt caching is designed for.

For GPT 5.4 specifically, that means output tokens cost 6.0x more than input, at $15.00 vs $2.50 per MTok. At this use case’s 5,000/2,000 token split, output accounts for 71% of the $0.0425 per-call cost.

Complete GPT 5.4 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$2.505,000
Output$15.002,000

Prompt caching: 90% off input tokens

Caching drops input cost from $2.50 to $0.25/MTok. For repeated system prompts, that saves $0.0112 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$0.0425$425$312.5$112.5
50,000 calls$0.0425$2,125$1,562.5$562.5
100,000 calls$0.0425$4,250$3,125$1,125
500,000 calls$0.0425$21,250$15,625$5,625
1,000,000 calls$0.0425$42,500$31,250$11,250

GPT 5.4 quality benchmarks for code review

Consider alternatives for code review

Scores 82/100 (rank #5 of 88). Better options exist at similar price points for code review.

Top-ranked: Claude Sonnet 5 (96/100) at $0.0300/call

Performance across all task types

GPT 5.4 scores by task type. Code Review highlighted.

Q&A91Reasoning88Classification88Code Review *82Creative Writing79Extraction76Summarization67Code Generation63
Task typeConfidence scoreRank out of 88
Q&A91/100#1
Reasoning88/100#15
Classification88/100#1
Code Review(current page)82/100#5
Creative Writing79/100#4
Extraction76/100#4
Summarization67/100#16
Code Generation63/100#13

Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for code review

6 models score 80+ on code review benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (29% less, 96/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
Claude Sonnet 5Claude$2.00$10.0096/100$0.030029% cheaper
Claude Sonnet 4.6Claude$3.00$15.0095/100$0.04506% more
GPT 5.6 SolGPT$4.00$20.0092/100$0.060041% more
Claude Opus 4.8Claude$5.00$25.0094/100$0.075076% more
GPT 5.5GPT$5.00$30.0090/100$0.0850100% more
Claude Fable 5Claude$10.00$50.0095/100$0.1500253% more

About GPT 5.4

Provider

GPT

Tier

Mid-tier

Context

1.1M tokens

Released

Mar 2026

Other models from GPT

ModelTierInput $/MTokOutput $/MTokContext
GPT 5.5Flagship$5.00$30.001.1M
GPT 5.6 SolFlagship$4.00$20.00922K
GPT 5.6 TerraMid-tier$2.00$12.00922K
GPT 5.6 LunaFast / Budget$0.20$1.20922K
GPT 3.5 TurboFast / Budget$0.50$1.5016K
GPT 3.5 Turbo (0125)Fast / Budget$0.50$1.5016K
GPT 4 (0613)Flagship$30.00$60.008K
GPT 4 Turbo (2024-04-09)Flagship$10.00$30.00128K
GPT 4Flagship$30.00$60.008K
GPT 4 TurboFlagship$10.00$30.00128K
GPT 4.1Mid-tier$2.00$8.001.0M
GPT 4.1 MiniFast / Budget$0.40$1.601.0M
GPT 4.1 NanoFast / Budget$0.10$0.401.0M
GPT 4oMid-tier$2.50$10.00128K
GPT 4o (2024-05-13)Flagship$5.00$15.00128K
GPT 4o MiniFast / Budget$0.15$0.60128K
GPT 5Mid-tier$1.25$10.00272K
GPT 5 MiniFast / Budget$0.25$2.00272K
GPT 5 NanoFast / Budget$0.05$0.40272K
GPT 5 ProFlagship$15.00$120.00400K
GPT 5.1Mid-tier$1.25$10.00272K
GPT 5.2Mid-tier$1.75$14.00272K
GPT 5.2 ProFlagship$21.00$168.00272K
GPT 5.4 MiniFast / Budget$0.75$4.50272K
GPT 5.4 NanoFast / Budget$0.20$1.25272K
GPT 5.4 ProFlagship$30.00$180.001.1M
GPT 5.5 ProFlagship$30.00$180.001.1M
GPT 6 AstraFlagship$10.00$50.00922K
GPT 6 LunaFast / Budget$0.10$0.50922K
GPT 6 SolFlagship$2.00$10.00922K
o1Flagship$15.00$60.00200K
o1 ProFlagship$150.00$600.00200K
o3Mid-tier$2.00$8.00200K
o3 MiniFast / Budget$1.10$4.40200K
o3 ProFlagship$20.00$80.00200K
o4 MiniFast / Budget$1.10$4.40200K
GPT 6.1 SolFlagship$2.00$10.00922K

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.

GPT 5.4 pricing for other use cases

See how GPT 5.4 costs change across different workload types.

Code Generation

$0.0650/call

Unit Test Generation

$0.0825/call

SQL Generation

$0.0187/call

API Generation

$0.0975/call

Code Refactoring

$0.0700/call

PR Review

$0.0650/call

Security Review

$0.0525/call

Bug Detection

$0.0425/call

Document Summarization

$0.0400/call

PDF Summarization

$0.0600/call

Meeting Notes

$0.0500/call

Email Summarization

$0.0150/call

Chatbot

$0.0200/call

RAG Pipeline

$0.0375/call

Customer Support Bot

$0.0225/call

FAQ Bot

$0.0158/call

Data Extraction

$0.0250/call

JSON Extraction

$0.0195/call

Invoice Parsing

$0.0140/call

Resume Parsing

$0.0183/call

Chain of Thought

$0.0825/call

Legal Analysis

$0.0850/call

Math Reasoning

$0.0488/call

Financial Analysis

$0.0800/call

Content Moderation

$0.002750/call

Sentiment Analysis

$0.002750/call

Categorization

$0.004250/call

Intent Detection

$0.002250/call

Copywriting

$0.0313/call

Blog Writing

$0.1225/call

Marketing Copy

$0.0470/call

Product Descriptions

$0.0238/call

Related pages

Frequently asked questions

How much does GPT 5.4 cost for code review per API call?

A typical code review call using GPT 5.4 costs about $0.0425 per call. This estimate uses 5,000 input tokens and 2,000 output tokens at standard rates. Standard rates are $2.50 per million input tokens and $15.00 per million output tokens.

Is GPT 5.4 the best model for code review?

GPT 5.4 scores 82 out of 100 on code review benchmarks overall. It ranks #5 across all 88 models in our cross-provider registry. The highest-ranked model for this task is Claude Sonnet 5 from Claude. That model scores 96/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

What is the cheapest model for code review with good quality?

The most affordable model for code review above 80/100 quality is Claude Sonnet 5. It comes from Claude at $2.00 per million input tokens. Output costs $10.00 per million tokens with a quality score of 96/100. Switching from GPT 5.4 to Claude Sonnet 5 saves about 29% per API call.

How can I reduce my GPT 5.4 costs for code review?

Three strategies lower GPT 5.4 costs for this task type effectively. Prompt caching gives a 90% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.0425 to about $0.002125 per call.

How does GPT 5.4 pricing compare to other GPT models?

GPT has 37 other models alongside GPT 5.4 today: GPT 5.5 at $5.00/$30.00 per million tokens (flagship), GPT 5.6 Sol at $4.00/$20.00 per million tokens (flagship), GPT 5.6 Terra at $2.00/$12.00 per million tokens (mid-tier), GPT 5.6 Luna at $0.20/$1.20 per million tokens (fast / budget), GPT 3.5 Turbo at $0.50/$1.50 per million tokens (fast / budget), GPT 3.5 Turbo (0125) at $0.50/$1.50 per million tokens (fast / budget), GPT 4 (0613) at $30.00/$60.00 per million tokens (flagship), GPT 4 Turbo (2024-04-09) at $10.00/$30.00 per million tokens (flagship), GPT 4 at $30.00/$60.00 per million tokens (flagship), GPT 4 Turbo at $10.00/$30.00 per million tokens (flagship), GPT 4.1 at $2.00/$8.00 per million tokens (mid-tier), GPT 4.1 Mini at $0.40/$1.60 per million tokens (fast / budget), GPT 4.1 Nano at $0.10/$0.40 per million tokens (fast / budget), GPT 4o at $2.50/$10.00 per million tokens (mid-tier), GPT 4o (2024-05-13) at $5.00/$15.00 per million tokens (flagship), GPT 4o Mini at $0.15/$0.60 per million tokens (fast / budget), GPT 5 at $1.25/$10.00 per million tokens (mid-tier), GPT 5 Mini at $0.25/$2.00 per million tokens (fast / budget), GPT 5 Nano at $0.05/$0.40 per million tokens (fast / budget), GPT 5 Pro at $15.00/$120.00 per million tokens (flagship), GPT 5.1 at $1.25/$10.00 per million tokens (mid-tier), GPT 5.2 at $1.75/$14.00 per million tokens (mid-tier), GPT 5.2 Pro at $21.00/$168.00 per million tokens (flagship), GPT 5.4 Mini at $0.75/$4.50 per million tokens (fast / budget), GPT 5.4 Nano at $0.20/$1.25 per million tokens (fast / budget), GPT 5.4 Pro at $30.00/$180.00 per million tokens (flagship), GPT 5.5 Pro at $30.00/$180.00 per million tokens (flagship), GPT 6 Astra at $10.00/$50.00 per million tokens (flagship), GPT 6 Luna at $0.10/$0.50 per million tokens (fast / budget), GPT 6 Sol at $2.00/$10.00 per million tokens (flagship), o1 at $15.00/$60.00 per million tokens (flagship), o1 Pro at $150.00/$600.00 per million tokens (flagship), o3 at $2.00/$8.00 per million tokens (mid-tier), o3 Mini at $1.10/$4.40 per million tokens (fast / budget), o3 Pro at $20.00/$80.00 per million tokens (flagship), o4 Mini at $1.10/$4.40 per million tokens (fast / budget), GPT 6.1 Sol at $2.00/$10.00 per million tokens (flagship). The right choice depends on whether your code review workload prioritizes quality, cost, or speed.

What context window does GPT 5.4 support?

GPT 5.4 supports a context window of 1.1M tokens per API call. This sets the maximum combined length of your input prompt and generated response. For code review, typical calls use 5,000 input and 2,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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