GPT-5.5 Pro for Legal Document Automation Pricing

GPT-5.5 Pro vs Claude Opus 4.7
Complete Comparison: 350,000 input tokens × 140,000 output tokens
Comparison Mode
⚡ 40% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 40% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria GPT-5.5 Pro
OpenAI
Claude Opus 4.7
Anthropic
Calculation Results (Current Inputs) (40% cached)
Input Tokens 350,000 350,000
Output Tokens 140,000 140,000
Cost Breakdown
Input Cost $2.625000 (rounded ~ $2.63)Worst $0.437500 (rounded ~ $0.44)Best
Output Cost $6.300000Worst $0.875000 (rounded ~ $0.88)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $8.925000 (rounded ~ $8.93) Most Expensive $1.155000 (rounded ~ $1.16) Best Value
Processing Time 25 minutes, 42.24 seconds Fastest 33 minutes, 36.72 seconds Slowest
Tokens per Second 340Fastest 260Slowest
Time to First Token 260ms Best 400ms Worst
Cost per 1K tokens $0.018214 (rounded ~ $0.02)Worst $0.002357Best
Tokens per Dollar 54,902Worst Value 424,242Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $7.500000Worst $1.250000Best
Output Cost / 1M (Base) $45.000000Worst $6.250000Best
Input Cost / 1M (Optimized) $3.750000Worst
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $22.500000Worst
Optimizations: 50.0% batch
$3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
40
✗ Not Supported requested ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

GPT-5.5 Pro
OpenAIMax Context: 1,000,000 tokens
$30 / $180 per 1M tokens
▼
▼
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

$8.925000 Total Cost
$2.625000 Input Cost
$6.300000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
490,000Total Tokens
$0.018214Cost per 1K
54,902Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

25m 42s Processing Time
340 Tokens/Second
260ms Time to First Token
318 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.

GPT-5.5 Pro OpenAI 1000000

$8.925000 (rounded ~ $8.93)
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
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $8.925000 (rounded ~ $8.93) Input: $2.625000 (rounded ~ $2.63)
Output: $6.300000
Optimized Cost $8.925000 (rounded ~ $8.93) Input: $2.625000 (rounded ~ $2.63)
Output: $6.300000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 350,000 input tokens and 140,000 output tokens:

  • Input Cost: $2.625000 (rounded ~ $2.63)
  • Output Cost: $6.300000
  • Total Cost: $8.925000 (rounded ~ $8.93)
  • Cost per 1K tokens: $0.018214 (rounded ~ $0.02)
  • Tokens per dollar: 54,902 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 260ms time to first token:

  • Processing Time: 25 minutes, 42.24 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Multi-jurisdictional Legal Drafting

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.5 Pro. 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.

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Claude Opus 4.7 Anthropic 1000000

$1.155000 (rounded ~ $1.16)
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) $1.312500 (rounded ~ $1.31) Input: $0.437500 (rounded ~ $0.44)
Output: $0.875000 (rounded ~ $0.88)
Optimized Cost $1.155000 (rounded ~ $1.16) Input: $0.437500 (rounded ~ $0.44)
Output: $0.875000 (rounded ~ $0.88)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.157500 (rounded ~ $0.16) 12.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 350,000 input tokens and 140,000 output tokens:

  • Input Cost: $0.437500 (rounded ~ $0.44)
  • Output Cost: $0.875000 (rounded ~ $0.88)
  • Total Cost: $1.155000 (rounded ~ $1.16)
  • Cost per 1K tokens: $0.002357
  • Tokens per dollar: 424,242 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 260 tokens per second and 400ms time to first token:

  • Processing Time: 33 minutes, 36.72 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Multi-jurisdictional Legal Drafting

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 4.7. 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 GPT-5.5 Pro
📋 Active Input Parameters
Input Tokens: 350,000
Output Tokens: 140,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.5 Pro vs Claude Opus 4.7
🏆 Gemini 3.1 Flash Lite
Google
 $0.066500 (rounded ~ $0.07) Best Value ↓ 99.3% cheaper ↓ 94.2% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.104300 (rounded ~ $0.10) ↓ 98.8% cheaper ↓ 91% cheaper
🥉 Grok 4.3
xAI
 $0.157500 (rounded ~ $0.16) ↓ 98.2% cheaper ↓ 86.4% cheaper
#4 Grok 4.20 Beta
xAI
 $0.322000 (rounded ~ $0.32) ↓ 96.4% cheaper ↓ 72.1% cheaper
#5 Gemini 3.5 Flash
Google
 $0.399000 (rounded ~ $0.40) ↓ 95.5% cheaper ↓ 65.5% cheaper
#6 Gemini 3.1 Flash
Google
 $0.532000 (rounded ~ $0.53) ↓ 94% cheaper ↓ 53.9% cheaper
#7 Claude Sonnet 4.6
Anthropic
 $0.693000 (rounded ~ $0.69) ↓ 92.2% cheaper ↓ 40% cheaper
#8 Claude Opus 4.7
Anthropic
 $1.155000 (rounded ~ $1.16) ↓ 87.1% cheaper Same price
#9 Claude Opus 4.8
Anthropic
 $1.155000 (rounded ~ $1.16) ↓ 87.1% cheaper Same price
#10 Claude Opus 4.6
Anthropic
 $1.155000 (rounded ~ $1.16) ↓ 87.1% cheaper Same price
#11 Gemini 2.5 Pro
Google
 $1.330000 ↓ 85.1% cheaper ↑ 15.2% more
#12 Gemini 3.1 Pro
Google
 $1.708000 (rounded ~ $1.71) ↓ 80.9% cheaper ↑ 47.9% more
#13 GPT-5.4
OpenAI
 $2.135000 (rounded ~ $2.14) ↓ 76.1% cheaper ↑ 84.8% more
#14 GPT-5.4 Thinking
OpenAI
 $2.135000 (rounded ~ $2.14) ↓ 76.1% cheaper ↑ 84.8% more
#15 GPT-5.5
OpenAI
 $4.270000 ↓ 52.2% cheaper ↑ 269.7% more
#16 GPT-5.5
OpenAI
 $4.270000 ↓ 52.2% cheaper ↑ 269.7% more
🏆

Gemini 3.1 Flash Lite
Google

$0.066500 (rounded ~ $0.07)
vs GPT-5.5 Pro: ↓ 99.3%
vs Claude Opus 4.7: ↓ 94.2%
🥈

Gemini 2.5 Flash
Google

$0.104300 (rounded ~ $0.10)
vs GPT-5.5 Pro: ↓ 98.8%
vs Claude Opus 4.7: ↓ 91%
🥉

Grok 4.3
xAI

$0.157500 (rounded ~ $0.16)
vs GPT-5.5 Pro: ↓ 98.2%
vs Claude Opus 4.7: ↓ 86.4%
#4

Grok 4.20 Beta
xAI

$0.322000 (rounded ~ $0.32)
vs GPT-5.5 Pro: ↓ 96.4%
vs Claude Opus 4.7: ↓ 72.1%
#5

Gemini 3.5 Flash
Google

$0.399000 (rounded ~ $0.40)
vs GPT-5.5 Pro: ↓ 95.5%
vs Claude Opus 4.7: ↓ 65.5%
#6

Gemini 3.1 Flash
Google

$0.532000 (rounded ~ $0.53)
vs GPT-5.5 Pro: ↓ 94%
vs Claude Opus 4.7: ↓ 53.9%
#7

Claude Sonnet 4.6
Anthropic

$0.693000 (rounded ~ $0.69)
vs GPT-5.5 Pro: ↓ 92.2%
vs Claude Opus 4.7: ↓ 40%
#8

Claude Opus 4.7
Anthropic

$1.155000 (rounded ~ $1.16)
vs GPT-5.5 Pro: ↓ 87.1%
vs Claude Opus 4.7: Same
#9

Claude Opus 4.8
Anthropic

$1.155000 (rounded ~ $1.16)
vs GPT-5.5 Pro: ↓ 87.1%
vs Claude Opus 4.7: Same
#10

Claude Opus 4.6
Anthropic

$1.155000 (rounded ~ $1.16)
vs GPT-5.5 Pro: ↓ 87.1%
vs Claude Opus 4.7: Same
#11

Gemini 2.5 Pro
Google

$1.330000
vs GPT-5.5 Pro: ↓ 85.1%
vs Claude Opus 4.7: ↑ 15.2%
#12

Gemini 3.1 Pro
Google

$1.708000 (rounded ~ $1.71)
vs GPT-5.5 Pro: ↓ 80.9%
vs Claude Opus 4.7: ↑ 47.9%
#13

GPT-5.4
OpenAI

$2.135000 (rounded ~ $2.14)
vs GPT-5.5 Pro: ↓ 76.1%
vs Claude Opus 4.7: ↑ 84.8%
#14

GPT-5.4 Thinking
OpenAI

$2.135000 (rounded ~ $2.14)
vs GPT-5.5 Pro: ↓ 76.1%
vs Claude Opus 4.7: ↑ 84.8%
#15

GPT-5.5
OpenAI

$4.270000
vs GPT-5.5 Pro: ↓ 52.2%
vs Claude Opus 4.7: ↑ 269.7%
#16

GPT-5.5
OpenAI

$4.270000
vs GPT-5.5 Pro: ↓ 52.2%
vs Claude Opus 4.7: ↑ 269.7%
✨ 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.

2026 SOTA Cost-Performance Analysis

Detailed ROI and operational expense planning for ‘GPT-5.5 Pro for Legal Document Automation Pricing’. Based on the latest April 2026 frontier model pricing updates.

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.