GPT-5.4 Pro Cost for 800K-Token Long-Document Summarization

Complete Analysis: 802,000 tokens for GPT-5.4 Pro
⚡ 40% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.4 Pro model with 40% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$15.630000 Total Cost
802,000 Total Tokens
38 minutes, 57.44 seconds Processing Time
343 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

GPT-5.4 Pro
OpenAIMax Context: 1,024,000 tokens
$30 / $180 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
Use Batch API (50% discount)
40%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$14.400000 Input Cost
$0.270000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
802,000Total Tokens
$0.019489Cost per 1K
51,312Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

38m 57s Processing Time
350 Tokens/Second
250ms Time to First Token
343 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after

🧠 Reasoning & Thinking
Manual thinking tokens (billed at output rate)

🔧 Special Modes
Enable 6.0x Fast Mode multiplier

📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited

🎤 Realtime Audio & Video
Session length for billing

GPT-5.4 Pro OpenAI 1024000 🏔️ Context Cliff

$15.630000
Total Cost
⚡ 40% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $24.270000 Input: $24.000000
Output: $0.270000
Optimized Cost $15.630000 Input: $24.000000
Output: $0.270000
Unit: $0.000000
Fees: $0.000000
Total Savings $8.640000 35.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 800,000 input tokens and 2,000 output tokens:

  • Input Cost: $24.000000
  • Output Cost: $0.270000
  • Total Cost: $15.630000
  • Cost per 1K tokens: $0.019489
  • Tokens per dollar: 51,312 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 38 minutes, 57.44 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 343 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complexmulti-step professional analysisregulatory compliance documentationand high-context research tasks requiring extreme reliability.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 Pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 Pro
📋 Active Input Parameters
Input Tokens: 800,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 Pro
🏆 Gemini 3.1 Flash Lite
Google
$0.032750 (rounded ~ $0.03) Best Value ↓ 99.8% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
$0.039650 ↓ 99.7% cheaper
🥉 Gemini 2.5 Flash
Google
$0.039650 ↓ 99.7% cheaper
#4 Gemini 3.8 Flash
Google
$0.097875 (rounded ~ $0.10) ↓ 99.4% cheaper
#5 GPT-5.6 Luna
OpenAI
$0.131000 (rounded ~ $0.13) ↓ 99.2% cheaper
#6 Gemini 3.6 Flash
Google
$0.195750 (rounded ~ $0.20) ↓ 98.7% cheaper
#7 Gemini 3.5 Flash
Google
$0.196500 (rounded ~ $0.20) ↓ 98.7% cheaper
#8 Claude Sonnet 5
Anthropic
$0.261000 (rounded ~ $0.26) ↓ 98.3% cheaper
#9 Gemini 3.1 Flash
Google
$0.262000 (rounded ~ $0.26) ↓ 98.3% cheaper
#10 GPT-5.6 Terra
OpenAI
$0.327500 (rounded ~ $0.33) ↓ 97.9% cheaper
#11 Claude Sonnet 4.6
Anthropic
$0.391500 (rounded ~ $0.39) ↓ 97.5% cheaper
#12 Claude Opus 4.7
Anthropic
$0.652500 (rounded ~ $0.65) ↓ 95.8% cheaper
#13 Claude Opus 5
Anthropic
$0.652500 (rounded ~ $0.65) ↓ 95.8% cheaper
#14 Claude Opus 4.8
Anthropic
$0.652500 (rounded ~ $0.65) ↓ 95.8% cheaper
#15 Claude Opus 4.6
Anthropic
$0.652500 (rounded ~ $0.65) ↓ 95.8% cheaper
#16 Gemini 2.5 Pro
Google
$0.655000 (rounded ~ $0.66) ↓ 95.8% cheaper
#17 GPT-5.6 Sol
OpenAI
$0.655000 (rounded ~ $0.66) ↓ 95.8% cheaper
#18 Grok 4.3
xAI
$1.032000 (rounded ~ $1.03) ↓ 93.4% cheaper
#19 Grok 4.20 Beta
xAI
$1.032000 (rounded ~ $1.03) ↓ 93.4% cheaper
#20 Gemini 3.1 Pro
Google
$1.042000 (rounded ~ $1.04) ↓ 93.3% cheaper
#21 Claude Fable 5.1
Anthropic
$1.245000 (rounded ~ $1.25) ↓ 92% cheaper
#22 Claude Mythos 5.1
Anthropic
$1.245000 (rounded ~ $1.25) ↓ 92% cheaper
#23 GPT-5.4
OpenAI
$1.302500 (rounded ~ $1.30) ↓ 91.7% cheaper
#24 GPT-5.4 Thinking
OpenAI
$1.302500 (rounded ~ $1.30) ↓ 91.7% cheaper
#25 Claude Fable 5
Anthropic
$1.305000 (rounded ~ $1.31) ↓ 91.7% cheaper
#26 Claude Mythos 5
Anthropic
$1.305000 (rounded ~ $1.31) ↓ 91.7% cheaper
#27 GPT-5.5
OpenAI
$2.605000 (rounded ~ $2.61) ↓ 83.3% cheaper
#28 GPT-5.5
OpenAI
$2.605000 (rounded ~ $2.61) ↓ 83.3% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.032750 (rounded ~ $0.03)
vs GPT-5.4 Pro: ↓ 99.8%
🥈

Gemini 3.5 Flash-Lite
Google

$0.039650
vs GPT-5.4 Pro: ↓ 99.7%
🥉

Gemini 2.5 Flash
Google

$0.039650
vs GPT-5.4 Pro: ↓ 99.7%
#4

Gemini 3.8 Flash
Google

$0.097875 (rounded ~ $0.10)
vs GPT-5.4 Pro: ↓ 99.4%
#5

GPT-5.6 Luna
OpenAI

$0.131000 (rounded ~ $0.13)
vs GPT-5.4 Pro: ↓ 99.2%
#6

Gemini 3.6 Flash
Google

$0.195750 (rounded ~ $0.20)
vs GPT-5.4 Pro: ↓ 98.7%
#7

Gemini 3.5 Flash
Google

$0.196500 (rounded ~ $0.20)
vs GPT-5.4 Pro: ↓ 98.7%
#8

Claude Sonnet 5
Anthropic

$0.261000 (rounded ~ $0.26)
vs GPT-5.4 Pro: ↓ 98.3%
#9

Gemini 3.1 Flash
Google

$0.262000 (rounded ~ $0.26)
vs GPT-5.4 Pro: ↓ 98.3%
#10

GPT-5.6 Terra
OpenAI

$0.327500 (rounded ~ $0.33)
vs GPT-5.4 Pro: ↓ 97.9%
#11

Claude Sonnet 4.6
Anthropic

$0.391500 (rounded ~ $0.39)
vs GPT-5.4 Pro: ↓ 97.5%
#12

Claude Opus 4.7
Anthropic

$0.652500 (rounded ~ $0.65)
vs GPT-5.4 Pro: ↓ 95.8%
#13

Claude Opus 5
Anthropic

$0.652500 (rounded ~ $0.65)
vs GPT-5.4 Pro: ↓ 95.8%
#14

Claude Opus 4.8
Anthropic

$0.652500 (rounded ~ $0.65)
vs GPT-5.4 Pro: ↓ 95.8%
#15

Claude Opus 4.6
Anthropic

$0.652500 (rounded ~ $0.65)
vs GPT-5.4 Pro: ↓ 95.8%
#16

Gemini 2.5 Pro
Google

$0.655000 (rounded ~ $0.66)
vs GPT-5.4 Pro: ↓ 95.8%
#17

GPT-5.6 Sol
OpenAI

$0.655000 (rounded ~ $0.66)
vs GPT-5.4 Pro: ↓ 95.8%
#18

Grok 4.3
xAI

$1.032000 (rounded ~ $1.03)
vs GPT-5.4 Pro: ↓ 93.4%
#19

Grok 4.20 Beta
xAI

$1.032000 (rounded ~ $1.03)
vs GPT-5.4 Pro: ↓ 93.4%
#20

Gemini 3.1 Pro
Google

$1.042000 (rounded ~ $1.04)
vs GPT-5.4 Pro: ↓ 93.3%
#21

Claude Fable 5.1
Anthropic

$1.245000 (rounded ~ $1.25)
vs GPT-5.4 Pro: ↓ 92%
#22

Claude Mythos 5.1
Anthropic

$1.245000 (rounded ~ $1.25)
vs GPT-5.4 Pro: ↓ 92%
#23

GPT-5.4
OpenAI

$1.302500 (rounded ~ $1.30)
vs GPT-5.4 Pro: ↓ 91.7%
#24

GPT-5.4 Thinking
OpenAI

$1.302500 (rounded ~ $1.30)
vs GPT-5.4 Pro: ↓ 91.7%
#25

Claude Fable 5
Anthropic

$1.305000 (rounded ~ $1.31)
vs GPT-5.4 Pro: ↓ 91.7%
#26

Claude Mythos 5
Anthropic

$1.305000 (rounded ~ $1.31)
vs GPT-5.4 Pro: ↓ 91.7%
#27

GPT-5.5
OpenAI

$2.605000 (rounded ~ $2.61)
vs GPT-5.4 Pro: ↓ 83.3%
#28

GPT-5.5
OpenAI

$2.605000 (rounded ~ $2.61)
vs GPT-5.4 Pro: ↓ 83.3%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

Deploying GPT-5.4 Pro for Enterprise Document Analysis

For organizations managing high-stakes document summarization at scale, GPT-5.4 Pro stands out as a top-tier choice for professional-grade reasoning. When processing 800K-token inputs, the primary challenge is not just memory, but maintaining factual accuracy and context alignment across the entire document set. GPT-5.4 Pro is specifically optimized for these dense, multi-page analytical workflows, often outperforming smaller models by reducing hallucination rates and maintaining a tighter grasp on source material.

Why GPT-5.4 Pro for 800K-Token Pipelines:

  • Unified Reasoning & Analysis: Unlike systems that require complex chaining to handle massive documents, GPT-5.4 Pro’s architecture is designed to ingest and synthesize large, technical corpora in a single pass. This significantly simplifies the engineering architecture required to support deep research and compliance review.
  • Agentic Reliability: If your summarization pipeline is part of a larger agentic system, GPT-5.4 Pro’s advanced tool-calling and computer-use capabilities allow it to perform secondary operational tasks, such as saving results to specific file formats or updating database entries, without needing additional orchestration layers.
  • Precision at Scale: The model’s ability to follow complex, multi-part instructions makes it ideal for domain-specific tasks where the output must adhere to strict regulatory or internal formatting requirements.

Choosing this model is appropriate when the quality of the extraction and the depth of the insight are the primary KPIs, and when your infrastructure needs a reliable, all-in-one intelligence layer to handle diverse and lengthy professional documents.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.