GPT-5.4 vs Claude Opus 4.6 for Legal Contract Review Cost

GPT-5.4 Pro vs Claude Opus 4.6
Complete Comparison: 150,000 input tokens × 10,000 output tokens
Comparison Mode

Complete comparison of pricing, performance, and capabilities for 2 leading AI models .

📊 Batch API
Comparison Criteria GPT-5.4 Pro
OpenAI
Claude Opus 4.6
Anthropic
Calculation Results (Current Inputs)
Input Tokens 150,000 150,000
Output Tokens 10,000 10,000
Cost Breakdown
Input Cost $2.250000Worst $0.375000 (rounded ~ 0.38)Best
Output Cost $0.900000Worst $0.125000 (rounded ~ 0.13)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $3.150000 Most Expensive $0.500000 Best Value
Processing Time 7 minutes, 41.00 seconds Fastest 9 minutes, 37.00 seconds Slowest
Tokens per Second 350Fastest 280Slowest
Time to First Token 250ms Best 380ms Worst
Cost per 1K tokens $0.019688Worst $0.003125 (rounded ~ 0.00)Best
Tokens per Dollar 50,794Worst Value 320,000Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $15.000000Worst $2.500000Best
Output Cost / 1M (Base) $90.000000Worst $12.500000Best
Input Cost / 1M (Optimized) $7.500000Worst
Optimizations: 50.0% batch
$1.250000Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $45.000000Worst
Optimizations: 50.0% batch
$6.250000Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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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)
0%
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

$2.250000 Input Cost
$0.900000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
160,000Total Tokens
$0.019688Cost per 1K
50,794Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

7m 41s Processing Time
350 Tokens/Second
250ms Time to First Token
347 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
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)

🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

GPT-5.4 Pro OpenAI 1024000

$3.150000
Total Cost
📊 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) $3.150000 Input: $2.250000
Output: $0.900000
Optimized Cost $3.150000 Input: $2.250000
Output: $0.900000
Unit: $0.000000
Fees: $0.000000

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 150,000 input tokens and 10,000 output tokens:

  • Input Cost: $2.250000
  • Output Cost: $0.900000
  • Total Cost: $3.150000
  • Cost per 1K tokens: $0.019688
  • Tokens per dollar: 50,794 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: 7 minutes, 41.00 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 347 tokens/second (temperature-adjusted)

Best Use Cases

Legal ReviewContract AnalysisDue Diligence

Claude Opus 4.6 Anthropic 1000000

$0.500000
Total Cost
📊 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) $0.500000 Input: $0.375000 (rounded ~ 0.38)
Output: $0.125000 (rounded ~ 0.13)
Optimized Cost $0.500000 Input: $0.375000 (rounded ~ 0.38)
Output: $0.125000 (rounded ~ 0.13)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Cliff Pricing
Standard
standard pricing (threshold: 200,000)

Detailed Cost Analysis (from Plugin)

For 150,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.375000 (rounded ~ 0.38)
  • Output Cost: $0.125000 (rounded ~ 0.13)
  • Total Cost: $0.500000
  • Cost per 1K tokens: $0.003125 (rounded ~ 0.00)
  • Tokens per dollar: 320,000 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 280 tokens per second and 380ms time to first token:

  • Processing Time: 9 minutes, 37.00 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 277 tokens/second (temperature-adjusted)

Best Use Cases

Legal ReviewContract AnalysisDue Diligence

✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 Pro
📋 Active Input Parameters
Input Tokens: 150,000
Output Tokens: 10,000
Batch API: Enabled (50% discount)
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 Pro vs Claude Opus 4.6
🏆 Gemini 3.1 Flash Lite
Google
$0.009500 Best Value ↓ 99.7% cheaper ↓ 98.1% cheaper
🥈 Llama 4 Maverick (400B)
Meta AI
$0.049000 (rounded ~ 0.05) ↓ 98.4% cheaper ↓ 90.2% cheaper
🥉 o4-mini
OpenAI
$0.052250 (rounded ~ 0.05) ↓ 98.3% cheaper ↓ 89.6% cheaper
#4 Mistral Large 3
Mistral AI
$0.090000 ↓ 97.1% cheaper ↓ 82% cheaper
#5 GPT-5.3 Codex Spark
OpenAI
$0.100625 ↓ 96.8% cheaper ↓ 79.9% cheaper
#6 Grok 5
xAI
$0.150000 ↓ 95.2% cheaper ↓ 70% cheaper
#7 Gemini 3.1 Pro
Google
$0.210000 ↓ 93.3% cheaper ↓ 58% cheaper
#8 GPT-5.4 Thinking
OpenAI
$0.262500 (rounded ~ 0.26) ↓ 91.7% cheaper ↓ 47.5% cheaper
#9 Claude Sonnet 4.6
Anthropic
$0.300000 ↓ 90.5% cheaper ↓ 40% cheaper
#10 o3 Deep Research
OpenAI
$0.475000 (rounded ~ 0.48) ↓ 84.9% cheaper ↓ 5% cheaper
#11 Claude Opus 4.6
Anthropic
$0.500000 ↓ 84.1% cheaper Same price
#12 Claude Opus 4.6
Anthropic
$0.500000 ↓ 84.1% cheaper Same price
🏆

Gemini 3.1 Flash Lite
Google

$0.009500
vs GPT-5.4 Pro: ↓ 99.7%
vs Claude Opus 4.6: ↓ 98.1%
🥈

Llama 4 Maverick (400B)
Meta AI

$0.049000 (rounded ~ 0.05)
vs GPT-5.4 Pro: ↓ 98.4%
vs Claude Opus 4.6: ↓ 90.2%
🥉

o4-mini
OpenAI

$0.052250 (rounded ~ 0.05)
vs GPT-5.4 Pro: ↓ 98.3%
vs Claude Opus 4.6: ↓ 89.6%
#4

Mistral Large 3
Mistral AI

$0.090000
vs GPT-5.4 Pro: ↓ 97.1%
vs Claude Opus 4.6: ↓ 82%
#5

GPT-5.3 Codex Spark
OpenAI

$0.100625
vs GPT-5.4 Pro: ↓ 96.8%
vs Claude Opus 4.6: ↓ 79.9%
#6

Grok 5
xAI

$0.150000
vs GPT-5.4 Pro: ↓ 95.2%
vs Claude Opus 4.6: ↓ 70%
#7

Gemini 3.1 Pro
Google

$0.210000
vs GPT-5.4 Pro: ↓ 93.3%
vs Claude Opus 4.6: ↓ 58%
#8

GPT-5.4 Thinking
OpenAI

$0.262500 (rounded ~ 0.26)
vs GPT-5.4 Pro: ↓ 91.7%
vs Claude Opus 4.6: ↓ 47.5%
#9

Claude Sonnet 4.6
Anthropic

$0.300000
vs GPT-5.4 Pro: ↓ 90.5%
vs Claude Opus 4.6: ↓ 40%
#10

o3 Deep Research
OpenAI

$0.475000 (rounded ~ 0.48)
vs GPT-5.4 Pro: ↓ 84.9%
vs Claude Opus 4.6: ↓ 5%
#11

Claude Opus 4.6
Anthropic

$0.500000
vs GPT-5.4 Pro: ↓ 84.1%
vs Claude Opus 4.6: Same
#12

Claude Opus 4.6
Anthropic

$0.500000
vs GPT-5.4 Pro: ↓ 84.1%
vs Claude Opus 4.6: Same
✨ 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.

Elite Document Intelligence Showdown

Compare the cost and accuracy of the two leading frontier models for reviewing 500-page legal contracts. GPT-5.4 excels in clause logic, while Claude 4.6 offers superior long-context coherence.

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 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.