Legal Contract Review Cost: Claude Sonnet 4.6 vs GPT-5.4 mini for 500K Tokens

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Sonnet 5 pricing →  ·  All recent pricing changes

Claude Sonnet 4.6 vs GPT-5.4 mini
Complete Comparison: 500,000 input tokens × 2,500 output tokens
Comparison Mode
⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 4.6
Anthropic
GPT-5.4 mini
OpenAI
Calculation Results (Current Inputs) (30% cached)
Input Tokens 500,000 500,000
Output Tokens 2,500 2,500
Cost Breakdown
Input Cost $0.375000 (rounded ~ $0.38)Worst $0.093750 (rounded ~ $0.09)Best
Output Cost $0.009375Worst $0.002813Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.283125 (rounded ~ $0.28) Most Expensive $0.071250 (rounded ~ $0.07) Best Value
Processing Time 18 minutes, 59.18 seconds Slowest 17 minutes, 5.28 seconds Fastest
Tokens per Second 450Slowest 500Fastest
Time to First Token 200ms Worst 180ms Best
Cost per 1K tokens $0.000563Worst $0.000142Best
Tokens per Dollar 1,774,834Worst Value 7,052,632Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Worst $0.187500 (rounded ~ $0.19)Best
Output Cost / 1M (Base) $3.750000Worst $1.125000 (rounded ~ $1.13)Best
Input Cost / 1M (Optimized) $0.375000 (rounded ~ $0.38)Worst
Optimizations: 50.0% batch
$0.093750 (rounded ~ $0.09)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.875000 (rounded ~ $1.88)Worst
Optimizations: 50.0% batch
$0.562500 (rounded ~ $0.56)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
30
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Claude Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
Use Batch API (50% discount)
30%
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

$0.262500 Input Cost
$0.009375 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
502,500Total Tokens
$0.000563Cost per 1K
1,774,834Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

18m 59s Processing Time
450 Tokens/Second
200ms Time to First Token
441 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Claude Sonnet 4.6 Anthropic 1000000

$0.283125 (rounded ~ $0.28)
Total Cost
⚡ 30% 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) $0.384375 (rounded ~ $0.38) Input: $0.375000 (rounded ~ $0.38)
Output: $0.009375
Optimized Cost $0.283125 (rounded ~ $0.28) Input: $0.375000 (rounded ~ $0.38)
Output: $0.009375
Unit: $0.000000
Fees: $0.000000
Total Savings $0.101250 (rounded ~ $0.10) 26.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 2,500 output tokens:

  • Input Cost: $0.375000 (rounded ~ $0.38)
  • Output Cost: $0.009375
  • Total Cost: $0.283125 (rounded ~ $0.28)
  • Cost per 1K tokens: $0.000563
  • Tokens per dollar: 1,774,834 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 18 minutes, 59.18 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

Claude Sonnet 4.6 is ideal for high-precisioncomplex legal clause reasoningwhile GPT-5.4 mini is best for high-volumestandardized document screening.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

GPT-5.4 mini OpenAI

$0.071250 (rounded ~ $0.07)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
⚡ 30% 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) $0.096563 (rounded ~ $0.10) Input: $0.093750 (rounded ~ $0.09)
Output: $0.002813
Optimized Cost $0.071250 (rounded ~ $0.07) Input: $0.093750 (rounded ~ $0.09)
Output: $0.002813
Unit: $0.000000
Fees: $0.000000
Total Savings $0.025313 (rounded ~ $0.03) 26.2% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 2,500 output tokens:

  • Input Cost: $0.093750 (rounded ~ $0.09)
  • Output Cost: $0.002813
  • Total Cost: $0.071250 (rounded ~ $0.07)
  • Cost per 1K tokens: $0.000142
  • Tokens per dollar: 7,052,632 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 180ms time to first token:

  • Processing Time: 17 minutes, 5.28 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 490 tokens/second (temperature-adjusted)

Best Use Cases

Claude Sonnet 4.6 is ideal for high-precisioncomplex legal clause reasoningwhile GPT-5.4 mini is best for high-volumestandardized document screening.

Want this applied to YOUR actual stack?

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

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 4.6
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 2,500
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs GPT-5.4 mini
🏆 Gemini 3.1 Flash Lite
Google
$0.023750 (rounded ~ $0.02) Best Value ↓ 91.6% cheaper ↓ 66.7% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
$0.028938 (rounded ~ $0.03) ↓ 89.8% cheaper ↓ 59.4% cheaper
🥉 Gemini 2.5 Flash
Google
$0.028938 (rounded ~ $0.03) ↓ 89.8% cheaper ↓ 59.4% cheaper
#4 Gemini 3.8 Flash
Google
$0.070781 ↓ 75% cheaper ↓ 0.7% cheaper
#5 GPT-5.6 Luna
OpenAI
$0.095000 (rounded ~ $0.10) ↓ 66.4% cheaper ↑ 33.3% more
#6 Gemini 3.6 Flash
Google
$0.141563 (rounded ~ $0.14) ↓ 50% cheaper ↑ 98.7% more
#7 Gemini 3.5 Flash
Google
$0.142500 (rounded ~ $0.14) ↓ 49.7% cheaper ↑ 100% more
#8 Claude Sonnet 5
Anthropic
$0.188750 (rounded ~ $0.19) ↓ 33.3% cheaper ↑ 164.9% more
#9 Gemini 3.1 Flash
Google
$0.190000 ↓ 32.9% cheaper ↑ 166.7% more
#10 GPT-5.6 Terra
OpenAI
$0.237500 (rounded ~ $0.24) ↓ 16.1% cheaper ↑ 233.3% more
#11 Claude Opus 4.7
Anthropic
$0.471875 (rounded ~ $0.47) ↑ 66.7% more ↑ 562.3% more
#12 Claude Opus 5
Anthropic
$0.471875 (rounded ~ $0.47) ↑ 66.7% more ↑ 562.3% more
#13 Claude Opus 4.8
Anthropic
$0.471875 (rounded ~ $0.47) ↑ 66.7% more ↑ 562.3% more
#14 Claude Opus 4.6
Anthropic
$0.471875 (rounded ~ $0.47) ↑ 66.7% more ↑ 562.3% more
#15 Gemini 2.5 Pro
Google
$0.475000 (rounded ~ $0.48) ↑ 67.8% more ↑ 566.7% more
#16 GPT-5.6 Sol
OpenAI
$0.475000 (rounded ~ $0.48) ↑ 67.8% more ↑ 566.7% more
#17 Grok 4.3
xAI
$0.740000 ↑ 161.4% more ↑ 938.6% more
#18 Grok 4.20 Beta
xAI
$0.740000 ↑ 161.4% more ↑ 938.6% more
#19 Gemini 3.1 Pro
Google
$0.752500 (rounded ~ $0.75) ↑ 165.8% more ↑ 956.1% more
#20 Claude Fable 5.1
Anthropic
$0.915625 (rounded ~ $0.92) ↑ 223.4% more ↑ 1185.1% more
#21 Claude Mythos 5.1
Anthropic
$0.915625 (rounded ~ $0.92) ↑ 223.4% more ↑ 1185.1% more
#22 GPT-5.4
OpenAI
$0.940625 ↑ 232.2% more ↑ 1220.2% more
#23 GPT-5.4 Thinking
OpenAI
$0.940625 ↑ 232.2% more ↑ 1220.2% more
#24 Claude Fable 5
Anthropic
$0.943750 (rounded ~ $0.94) ↑ 233.3% more ↑ 1224.6% more
#25 Claude Mythos 5
Anthropic
$0.943750 (rounded ~ $0.94) ↑ 233.3% more ↑ 1224.6% more
#26 GPT-5.5
OpenAI
$1.881250 (rounded ~ $1.88) ↑ 564.5% more ↑ 2540.4% more
#27 GPT-6 Astra
OpenAI
$3.775000 (rounded ~ $3.78) ↑ 1233.3% more ↑ 5198.2% more
#28 GPT-6 Astra
OpenAI
$3.775000 (rounded ~ $3.78) ↑ 1233.3% more ↑ 5198.2% more
🏆

Gemini 3.1 Flash Lite
Google

$0.023750 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 91.6%
vs GPT-5.4 mini: ↓ 66.7%
🥈

Gemini 3.5 Flash-Lite
Google

$0.028938 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 89.8%
vs GPT-5.4 mini: ↓ 59.4%
🥉

Gemini 2.5 Flash
Google

$0.028938 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 89.8%
vs GPT-5.4 mini: ↓ 59.4%
#4

Gemini 3.8 Flash
Google

$0.070781
vs Claude Sonnet 4.6: ↓ 75%
vs GPT-5.4 mini: ↓ 0.7%
#5

GPT-5.6 Luna
OpenAI

$0.095000 (rounded ~ $0.10)
vs Claude Sonnet 4.6: ↓ 66.4%
vs GPT-5.4 mini: ↑ 33.3%
#6

Gemini 3.6 Flash
Google

$0.141563 (rounded ~ $0.14)
vs Claude Sonnet 4.6: ↓ 50%
vs GPT-5.4 mini: ↑ 98.7%
#7

Gemini 3.5 Flash
Google

$0.142500 (rounded ~ $0.14)
vs Claude Sonnet 4.6: ↓ 49.7%
vs GPT-5.4 mini: ↑ 100%
#8

Claude Sonnet 5
Anthropic

$0.188750 (rounded ~ $0.19)
vs Claude Sonnet 4.6: ↓ 33.3%
vs GPT-5.4 mini: ↑ 164.9%
#9

Gemini 3.1 Flash
Google

$0.190000
vs Claude Sonnet 4.6: ↓ 32.9%
vs GPT-5.4 mini: ↑ 166.7%
#10

GPT-5.6 Terra
OpenAI

$0.237500 (rounded ~ $0.24)
vs Claude Sonnet 4.6: ↓ 16.1%
vs GPT-5.4 mini: ↑ 233.3%
#11

Claude Opus 4.7
Anthropic

$0.471875 (rounded ~ $0.47)
vs Claude Sonnet 4.6: ↑ 66.7%
vs GPT-5.4 mini: ↑ 562.3%
#12

Claude Opus 5
Anthropic

$0.471875 (rounded ~ $0.47)
vs Claude Sonnet 4.6: ↑ 66.7%
vs GPT-5.4 mini: ↑ 562.3%
#13

Claude Opus 4.8
Anthropic

$0.471875 (rounded ~ $0.47)
vs Claude Sonnet 4.6: ↑ 66.7%
vs GPT-5.4 mini: ↑ 562.3%
#14

Claude Opus 4.6
Anthropic

$0.471875 (rounded ~ $0.47)
vs Claude Sonnet 4.6: ↑ 66.7%
vs GPT-5.4 mini: ↑ 562.3%
#15

Gemini 2.5 Pro
Google

$0.475000 (rounded ~ $0.48)
vs Claude Sonnet 4.6: ↑ 67.8%
vs GPT-5.4 mini: ↑ 566.7%
#16

GPT-5.6 Sol
OpenAI

$0.475000 (rounded ~ $0.48)
vs Claude Sonnet 4.6: ↑ 67.8%
vs GPT-5.4 mini: ↑ 566.7%
#17

Grok 4.3
xAI

$0.740000
vs Claude Sonnet 4.6: ↑ 161.4%
vs GPT-5.4 mini: ↑ 938.6%
#18

Grok 4.20 Beta
xAI

$0.740000
vs Claude Sonnet 4.6: ↑ 161.4%
vs GPT-5.4 mini: ↑ 938.6%
#19

Gemini 3.1 Pro
Google

$0.752500 (rounded ~ $0.75)
vs Claude Sonnet 4.6: ↑ 165.8%
vs GPT-5.4 mini: ↑ 956.1%
#20

Claude Fable 5.1
Anthropic

$0.915625 (rounded ~ $0.92)
vs Claude Sonnet 4.6: ↑ 223.4%
vs GPT-5.4 mini: ↑ 1185.1%
#21

Claude Mythos 5.1
Anthropic

$0.915625 (rounded ~ $0.92)
vs Claude Sonnet 4.6: ↑ 223.4%
vs GPT-5.4 mini: ↑ 1185.1%
#22

GPT-5.4
OpenAI

$0.940625
vs Claude Sonnet 4.6: ↑ 232.2%
vs GPT-5.4 mini: ↑ 1220.2%
#23

GPT-5.4 Thinking
OpenAI

$0.940625
vs Claude Sonnet 4.6: ↑ 232.2%
vs GPT-5.4 mini: ↑ 1220.2%
#24

Claude Fable 5
Anthropic

$0.943750 (rounded ~ $0.94)
vs Claude Sonnet 4.6: ↑ 233.3%
vs GPT-5.4 mini: ↑ 1224.6%
#25

Claude Mythos 5
Anthropic

$0.943750 (rounded ~ $0.94)
vs Claude Sonnet 4.6: ↑ 233.3%
vs GPT-5.4 mini: ↑ 1224.6%
#26

GPT-5.5
OpenAI

$1.881250 (rounded ~ $1.88)
vs Claude Sonnet 4.6: ↑ 564.5%
vs GPT-5.4 mini: ↑ 2540.4%
#27

GPT-6 Astra
OpenAI

$3.775000 (rounded ~ $3.78)
vs Claude Sonnet 4.6: ↑ 1233.3%
vs GPT-5.4 mini: ↑ 5198.2%
#28

GPT-6 Astra
OpenAI

$3.775000 (rounded ~ $3.78)
vs Claude Sonnet 4.6: ↑ 1233.3%
vs GPT-5.4 mini: ↑ 5198.2%
✨ 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.

Choosing the Right Model for Legal Contract Review

Legal contract review requires a balance between precision and operational efficiency. When processing 500,000 tokens of legal documentation—roughly 20 to 30 dense, 50-page agreements—the choice of model fundamentally changes your workflow architecture. Legal teams must prioritize models that excel at structured extraction, clause classification, and risk flagging, as even minor hallucinations in legal extraction can lead to significant downstream liability.

Claude Sonnet 4.6 for Complex Analysis

Claude Sonnet 4.6 is frequently the preferred model for high-stakes, nuanced review. Its architectural strengths lie in instruction following and maintaining structural integrity across long-form documents. For tasks involving complex indemnification triggers, nested liability clauses, or multi-jurisdictional compliance checks, the model demonstrates a superior ability to adhere to strict extraction schemas. This makes it a reliable choice for the initial, deep-dive review phase where accuracy is non-negotiable.

GPT-5.4 mini for High-Volume Extraction

GPT-5.4 mini offers a distinct advantage for high-throughput pipelines. If your workload involves routine clause extraction—such as scanning thousands of standard NDAs or MSAs for expiration dates and renewal terms—this model provides the speed and efficiency required to scale. It is particularly well-suited for preliminary screenings, where the goal is to quickly filter documents for human review. While it may require more robust prompt engineering to match the reasoning depth of larger models, its performance in token-efficient, standardized tasks makes it a cost-effective workhorse for legal operations managers focusing on volume.

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.