GPT-5.4 Thinking: 200K-Token Internal Knowledge Base RAG Cost

Complete Analysis: 201,500 tokens for GPT-5.4 Thinking
⚡ 75% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.4 Thinking model with 75% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.092500 (rounded ~ $0.09) Total Cost
201,500 Total Tokens
8 minutes, 34.01 seconds Processing Time
392 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

GPT-5.4 Thinking
OpenAIMax Context: 1,024,000 tokens
$2.5 / $15 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
75%
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

$0.092500 Total Cost
$0.062500 Input Cost
$0.011250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
201,500Total Tokens
$0.000459Cost per 1K
2,178,378Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

8m 34s Processing Time
400 Tokens/Second
220ms Time to First Token
392 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 Thinking OpenAI 1024000

$0.092500 (rounded ~ $0.09)
Total Cost
⚡ 75% 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) $0.261250 (rounded ~ $0.26) Input: $0.250000
Output: $0.011250 (rounded ~ $0.01)
Optimized Cost $0.092500 (rounded ~ $0.09) Input: $0.250000
Output: $0.011250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.168750 (rounded ~ $0.17) 64.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Cliff Pricing
Standard
standard pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 1,500 output tokens:

  • Input Cost: $0.250000
  • Output Cost: $0.011250 (rounded ~ $0.01)
  • Total Cost: $0.092500 (rounded ~ $0.09)
  • Cost per 1K tokens: $0.000459
  • Tokens per dollar: 2,178,378 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 8 minutes, 34.01 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complex RAG workflows requiring deep logicmulti-step verificationand high transparency in the reasoning process.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 Thinking
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 1,500
Batch API: Enabled (50% discount)
Cached Tokens: 75%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 Thinking
🏆 Gemini 3.1 Flash Lite
Google
 $0.004625 Best Value ↓ 95% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.005813 (rounded ~ $0.01) ↓ 93.7% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.005813 (rounded ~ $0.01) ↓ 93.7% cheaper
#4 Mistral Large 3
Mistral AI
 $0.008688 (rounded ~ $0.01) ↓ 90.6% cheaper
#5 Gemini 3.8 Flash
Google
 $0.013594 (rounded ~ $0.01) ↓ 85.3% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.013875 (rounded ~ $0.01) ↓ 85% cheaper
#7 Claude Haiku 4.5
Anthropic
 $0.018125 (rounded ~ $0.02) ↓ 80.4% cheaper
#8 GPT-5.6 Luna
OpenAI
 $0.018500 (rounded ~ $0.02) ↓ 80% cheaper
#9 Gemini 3.6 Flash
Google
 $0.027188 (rounded ~ $0.03) ↓ 70.6% cheaper
#10 Gemini 3.5 Flash
Google
 $0.027750 (rounded ~ $0.03) ↓ 70% cheaper
#11 Claude Sonnet 5
Anthropic
 $0.036250 (rounded ~ $0.04) ↓ 60.8% cheaper
#12 Gemini 3.1 Flash
Google
 $0.037000 (rounded ~ $0.04) ↓ 60% cheaper
#13 GPT-5.6 Terra
OpenAI
 $0.046250 (rounded ~ $0.05) ↓ 50% cheaper
#14 Claude Sonnet 4.6
Anthropic
 $0.054375 (rounded ~ $0.05) ↓ 41.2% cheaper
#15 Claude Opus 4.7
Anthropic
 $0.090625 ↓ 2% cheaper
#16 Claude Opus 5
Anthropic
 $0.090625 ↓ 2% cheaper
#17 Claude Opus 4.8
Anthropic
 $0.090625 ↓ 2% cheaper
#18 Claude Opus 4.6
Anthropic
 $0.090625 ↓ 2% cheaper
#19 GPT-5.4
OpenAI
 $0.092500 (rounded ~ $0.09) Same price
#20 Gemini 2.5 Pro
Google
 $0.092500 (rounded ~ $0.09) Same price
#21 GPT-5.5 Instant
OpenAI
 $0.092500 (rounded ~ $0.09) Same price
#22 GPT-5.6 Sol
OpenAI
 $0.092500 (rounded ~ $0.09) Same price
#23 Grok 4.3
xAI
 $0.136000 (rounded ~ $0.14) ↑ 47% more
#24 Grok 4.20 Beta
xAI
 $0.136000 (rounded ~ $0.14) ↑ 47% more
#25 Gemini 3.1 Pro
Google
 $0.143500 (rounded ~ $0.14) ↑ 55.1% more
#26 Claude Fable 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 65.5% more
#27 Claude Mythos 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 65.5% more
#28 Claude Fable 5
Anthropic
 $0.181250 (rounded ~ $0.18) ↑ 95.9% more
#29 Claude Mythos 5
Anthropic
 $0.181250 (rounded ~ $0.18) ↑ 95.9% more
#30 GPT-5.5
OpenAI
 $0.358750 (rounded ~ $0.36) ↑ 287.8% more
#31 GPT-6 Astra
OpenAI
 $0.725000 (rounded ~ $0.73) ↑ 683.8% more
#32 GPT-6 Astra
OpenAI
 $0.725000 (rounded ~ $0.73) ↑ 683.8% more
🏆

Gemini 3.1 Flash Lite
Google

$0.004625
vs GPT-5.4 Thinking: ↓ 95%
🥈

Gemini 3.5 Flash-Lite
Google

$0.005813 (rounded ~ $0.01)
vs GPT-5.4 Thinking: ↓ 93.7%
🥉

Gemini 2.5 Flash
Google

$0.005813 (rounded ~ $0.01)
vs GPT-5.4 Thinking: ↓ 93.7%
#4

Mistral Large 3
Mistral AI

$0.008688 (rounded ~ $0.01)
vs GPT-5.4 Thinking: ↓ 90.6%
#5

Gemini 3.8 Flash
Google

$0.013594 (rounded ~ $0.01)
vs GPT-5.4 Thinking: ↓ 85.3%
#6

GPT-5.4 mini
OpenAI

$0.013875 (rounded ~ $0.01)
vs GPT-5.4 Thinking: ↓ 85%
#7

Claude Haiku 4.5
Anthropic

$0.018125 (rounded ~ $0.02)
vs GPT-5.4 Thinking: ↓ 80.4%
#8

GPT-5.6 Luna
OpenAI

$0.018500 (rounded ~ $0.02)
vs GPT-5.4 Thinking: ↓ 80%
#9

Gemini 3.6 Flash
Google

$0.027188 (rounded ~ $0.03)
vs GPT-5.4 Thinking: ↓ 70.6%
#10

Gemini 3.5 Flash
Google

$0.027750 (rounded ~ $0.03)
vs GPT-5.4 Thinking: ↓ 70%
#11

Claude Sonnet 5
Anthropic

$0.036250 (rounded ~ $0.04)
vs GPT-5.4 Thinking: ↓ 60.8%
#12

Gemini 3.1 Flash
Google

$0.037000 (rounded ~ $0.04)
vs GPT-5.4 Thinking: ↓ 60%
#13

GPT-5.6 Terra
OpenAI

$0.046250 (rounded ~ $0.05)
vs GPT-5.4 Thinking: ↓ 50%
#14

Claude Sonnet 4.6
Anthropic

$0.054375 (rounded ~ $0.05)
vs GPT-5.4 Thinking: ↓ 41.2%
#15

Claude Opus 4.7
Anthropic

$0.090625
vs GPT-5.4 Thinking: ↓ 2%
#16

Claude Opus 5
Anthropic

$0.090625
vs GPT-5.4 Thinking: ↓ 2%
#17

Claude Opus 4.8
Anthropic

$0.090625
vs GPT-5.4 Thinking: ↓ 2%
#18

Claude Opus 4.6
Anthropic

$0.090625
vs GPT-5.4 Thinking: ↓ 2%
#19

GPT-5.4
OpenAI

$0.092500 (rounded ~ $0.09)
vs GPT-5.4 Thinking: Same
#20

Gemini 2.5 Pro
Google

$0.092500 (rounded ~ $0.09)
vs GPT-5.4 Thinking: Same
#21

GPT-5.5 Instant
OpenAI

$0.092500 (rounded ~ $0.09)
vs GPT-5.4 Thinking: Same
#22

GPT-5.6 Sol
OpenAI

$0.092500 (rounded ~ $0.09)
vs GPT-5.4 Thinking: Same
#23

Grok 4.3
xAI

$0.136000 (rounded ~ $0.14)
vs GPT-5.4 Thinking: ↑ 47%
#24

Grok 4.20 Beta
xAI

$0.136000 (rounded ~ $0.14)
vs GPT-5.4 Thinking: ↑ 47%
#25

Gemini 3.1 Pro
Google

$0.143500 (rounded ~ $0.14)
vs GPT-5.4 Thinking: ↑ 55.1%
#26

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs GPT-5.4 Thinking: ↑ 65.5%
#27

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs GPT-5.4 Thinking: ↑ 65.5%
#28

Claude Fable 5
Anthropic

$0.181250 (rounded ~ $0.18)
vs GPT-5.4 Thinking: ↑ 95.9%
#29

Claude Mythos 5
Anthropic

$0.181250 (rounded ~ $0.18)
vs GPT-5.4 Thinking: ↑ 95.9%
#30

GPT-5.5
OpenAI

$0.358750 (rounded ~ $0.36)
vs GPT-5.4 Thinking: ↑ 287.8%
#31

GPT-6 Astra
OpenAI

$0.725000 (rounded ~ $0.73)
vs GPT-5.4 Thinking: ↑ 683.8%
#32

GPT-6 Astra
OpenAI

$0.725000 (rounded ~ $0.73)
vs GPT-5.4 Thinking: ↑ 683.8%
✨ 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.

GPT-5.4 Thinking represents a significant shift for enterprise RAG deployments, particularly where the system must move beyond simple fact retrieval into deep, logical synthesis. By incorporating advanced reasoning and upfront planning, this model is designed to minimize the ‘black box’ behavior that often plagues internal Q&A bots, allowing engineers to steer the model’s logic before it finalizes a response.

For knowledge base Q&A, the primary advantage of the GPT-5.4 Thinking architecture is its ability to maintain coherence across extremely long document sets. When an employee asks a complex question that requires comparing information across multiple department manuals, the model’s internal planning phase ensures that it surfaces relevant data points while systematically resolving contradictions. This is critical for enterprise applications where an incorrect answer can lead to operational inefficiency or compliance risks.

Unlike faster, lighter models that prioritize speed, GPT-5.4 Thinking is optimized for high-stakes accuracy. It is particularly effective in RAG pipelines that leverage complex, nested metadata or require multi-step tool use to verify information against live databases. By providing visibility into its reasoning chain, the model allows teams to debug retrieval gaps more effectively, transforming the Q&A bot from a simple interface into a reliable decision-support engine. If your RAG system handles sensitive documentation requiring verified logic, this model provides the necessary guardrails to ensure trustworthy, grounded responses at scale.

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.

Related model pricing

GPT-5.4 Thinking currently costs $2.50 / $15.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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