Claude Opus 5 vs GPT-5.6 Sol for 500K-Token Legal Document Review

Claude Opus 5 vs GPT-5.6 Sol
Complete Comparison: 500,000 input tokens × 1,000 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Opus 5
Anthropic
GPT-5.6 Sol
OpenAI
Calculation Results (Current Inputs) (20% cached)
Input Tokens 500,000 500,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.625000 (rounded ~ $0.63) $0.625000 (rounded ~ $0.63)
Output Cost $0.006250 (rounded ~ $0.01)Best $0.007500 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.518750 (rounded ~ $0.52) Best Value $0.520000 Most Expensive
Processing Time 28 minutes, 23.58 seconds Slowest 12 minutes, 10.21 seconds Fastest
Tokens per Second 300Slowest 700Fastest
Time to First Token 300ms Worst 140ms Best
Cost per 1K tokens $0.001035Best $0.001038Worst
Tokens per Dollar 965,783Best Value 963,462Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000 $1.250000
Output Cost / 1M (Base) $6.250000Best $7.500000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$3.750000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Claude Opus 5
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
Use Batch API (50% discount)
20%
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

$0.500000 Input Cost
$0.006250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
501,000Total Tokens
$0.001035Cost per 1K
965,783Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

28m 23s Processing Time
300 Tokens/Second
300ms Time to First Token
294 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 Opus 5 Anthropic 1000000

$0.518750 (rounded ~ $0.52)
Total Cost
⚡ 20% 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) $0.631250 (rounded ~ $0.63) Input: $0.625000 (rounded ~ $0.63)
Output: $0.006250 (rounded ~ $0.01)
Optimized Cost $0.518750 (rounded ~ $0.52) Input: $0.625000 (rounded ~ $0.63)
Output: $0.006250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.112500 (rounded ~ $0.11) 17.8% 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 1,000 output tokens:

  • Input Cost: $0.625000 (rounded ~ $0.63)
  • Output Cost: $0.006250 (rounded ~ $0.01)
  • Total Cost: $0.518750 (rounded ~ $0.52)
  • Cost per 1K tokens: $0.001035
  • Tokens per dollar: 965,783 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 300ms time to first token:

  • Processing Time: 28 minutes, 23.58 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 294 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-stakes M&A due diligence and complex contract risk analysis where reasoning and accuracy are paramount.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 5. 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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GPT-5.6 Sol OpenAI 1000000

$0.520000
Total Cost
⚡ 20% 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) $0.632500 (rounded ~ $0.63) Input: $0.625000 (rounded ~ $0.63)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.520000 Input: $0.625000 (rounded ~ $0.63)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.112500 (rounded ~ $0.11) 17.8% 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 1,000 output tokens:

  • Input Cost: $0.625000 (rounded ~ $0.63)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.520000
  • Cost per 1K tokens: $0.001038
  • Tokens per dollar: 963,462 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 700 tokens per second and 140ms time to first token:

  • Processing Time: 12 minutes, 10.21 seconds
  • Latency: 140 milliseconds to first token
  • Base Throughput: 700 tokens/second
  • Effective Throughput: 686 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-stakes M&A due diligence and complex contract risk analysis where reasoning and accuracy are paramount.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.6 Sol. 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 Opus 5
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 5 vs GPT-5.6 Sol
🏆 Gemini 3.1 Flash Lite
Google
$0.026000 (rounded ~ $0.03) Best Value ↓ 95% cheaper ↓ 95% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
$0.031375 (rounded ~ $0.03) ↓ 94% cheaper ↓ 94% cheaper
🥉 Gemini 2.5 Flash
Google
$0.031375 (rounded ~ $0.03) ↓ 94% cheaper ↓ 94% cheaper
#4 Gemini 3.8 Flash
Google
$0.077813 (rounded ~ $0.08) ↓ 85% cheaper ↓ 85% cheaper
#5 GPT-5.6 Luna
OpenAI
$0.104000 (rounded ~ $0.10) ↓ 80% cheaper ↓ 80% cheaper
#6 Gemini 3.6 Flash
Google
$0.155625 (rounded ~ $0.16) ↓ 70% cheaper ↓ 70.1% cheaper
#7 Gemini 3.5 Flash
Google
$0.156000 (rounded ~ $0.16) ↓ 69.9% cheaper ↓ 70% cheaper
#8 Claude Sonnet 5
Anthropic
$0.207500 (rounded ~ $0.21) ↓ 60% cheaper ↓ 60.1% cheaper
#9 Gemini 3.1 Flash
Google
$0.208000 (rounded ~ $0.21) ↓ 59.9% cheaper ↓ 60% cheaper
#10 GPT-5.6 Terra
OpenAI
$0.260000 ↓ 49.9% cheaper ↓ 50% cheaper
#11 Claude Sonnet 4.6
Anthropic
$0.311250 (rounded ~ $0.31) ↓ 40% cheaper ↓ 40.1% cheaper
#12 Claude Opus 4.7
Anthropic
$0.518750 (rounded ~ $0.52) Same price ↓ 0.2% cheaper
#13 Claude Opus 4.8
Anthropic
$0.518750 (rounded ~ $0.52) Same price ↓ 0.2% cheaper
#14 Claude Opus 4.6
Anthropic
$0.518750 (rounded ~ $0.52) Same price ↓ 0.2% cheaper
#15 Gemini 2.5 Pro
Google
$0.520000 ↑ 0.2% more Same price
#16 GPT-5.6 Sol
OpenAI
$0.520000 ↑ 0.2% more Same price
#17 Grok 4.3
xAI
$0.824000 (rounded ~ $0.82) ↑ 58.8% more ↑ 58.5% more
#18 Grok 4.20 Beta
xAI
$0.824000 (rounded ~ $0.82) ↑ 58.8% more ↑ 58.5% more
#19 Gemini 3.1 Pro
Google
$0.829000 ↑ 59.8% more ↑ 59.4% more
#20 Claude Fable 5.1
Anthropic
$1.018750 (rounded ~ $1.02) ↑ 96.4% more ↑ 95.9% more
#21 Claude Mythos 5.1
Anthropic
$1.018750 (rounded ~ $1.02) ↑ 96.4% more ↑ 95.9% more
#22 GPT-5.4
OpenAI
$1.036250 (rounded ~ $1.04) ↑ 99.8% more ↑ 99.3% more
#23 GPT-5.4 Thinking
OpenAI
$1.036250 (rounded ~ $1.04) ↑ 99.8% more ↑ 99.3% more
#24 Claude Fable 5
Anthropic
$1.037500 (rounded ~ $1.04) ↑ 100% more ↑ 99.5% more
#25 Claude Mythos 5
Anthropic
$1.037500 (rounded ~ $1.04) ↑ 100% more ↑ 99.5% more
#26 GPT-5.5
OpenAI
$2.072500 (rounded ~ $2.07) ↑ 299.5% more ↑ 298.6% more
#27 GPT-6 Astra
OpenAI
$4.150000 ↑ 700% more ↑ 698.1% more
#28 GPT-6 Astra
OpenAI
$4.150000 ↑ 700% more ↑ 698.1% more
🏆

Gemini 3.1 Flash Lite
Google

$0.026000 (rounded ~ $0.03)
vs Claude Opus 5: ↓ 95%
vs GPT-5.6 Sol: ↓ 95%
🥈

Gemini 3.5 Flash-Lite
Google

$0.031375 (rounded ~ $0.03)
vs Claude Opus 5: ↓ 94%
vs GPT-5.6 Sol: ↓ 94%
🥉

Gemini 2.5 Flash
Google

$0.031375 (rounded ~ $0.03)
vs Claude Opus 5: ↓ 94%
vs GPT-5.6 Sol: ↓ 94%
#4

Gemini 3.8 Flash
Google

$0.077813 (rounded ~ $0.08)
vs Claude Opus 5: ↓ 85%
vs GPT-5.6 Sol: ↓ 85%
#5

GPT-5.6 Luna
OpenAI

$0.104000 (rounded ~ $0.10)
vs Claude Opus 5: ↓ 80%
vs GPT-5.6 Sol: ↓ 80%
#6

Gemini 3.6 Flash
Google

$0.155625 (rounded ~ $0.16)
vs Claude Opus 5: ↓ 70%
vs GPT-5.6 Sol: ↓ 70.1%
#7

Gemini 3.5 Flash
Google

$0.156000 (rounded ~ $0.16)
vs Claude Opus 5: ↓ 69.9%
vs GPT-5.6 Sol: ↓ 70%
#8

Claude Sonnet 5
Anthropic

$0.207500 (rounded ~ $0.21)
vs Claude Opus 5: ↓ 60%
vs GPT-5.6 Sol: ↓ 60.1%
#9

Gemini 3.1 Flash
Google

$0.208000 (rounded ~ $0.21)
vs Claude Opus 5: ↓ 59.9%
vs GPT-5.6 Sol: ↓ 60%
#10

GPT-5.6 Terra
OpenAI

$0.260000
vs Claude Opus 5: ↓ 49.9%
vs GPT-5.6 Sol: ↓ 50%
#11

Claude Sonnet 4.6
Anthropic

$0.311250 (rounded ~ $0.31)
vs Claude Opus 5: ↓ 40%
vs GPT-5.6 Sol: ↓ 40.1%
#12

Claude Opus 4.7
Anthropic

$0.518750 (rounded ~ $0.52)
vs Claude Opus 5: Same
vs GPT-5.6 Sol: ↓ 0.2%
#13

Claude Opus 4.8
Anthropic

$0.518750 (rounded ~ $0.52)
vs Claude Opus 5: Same
vs GPT-5.6 Sol: ↓ 0.2%
#14

Claude Opus 4.6
Anthropic

$0.518750 (rounded ~ $0.52)
vs Claude Opus 5: Same
vs GPT-5.6 Sol: ↓ 0.2%
#15

Gemini 2.5 Pro
Google

$0.520000
vs Claude Opus 5: ↑ 0.2%
vs GPT-5.6 Sol: Same
#16

GPT-5.6 Sol
OpenAI

$0.520000
vs Claude Opus 5: ↑ 0.2%
vs GPT-5.6 Sol: Same
#17

Grok 4.3
xAI

$0.824000 (rounded ~ $0.82)
vs Claude Opus 5: ↑ 58.8%
vs GPT-5.6 Sol: ↑ 58.5%
#18

Grok 4.20 Beta
xAI

$0.824000 (rounded ~ $0.82)
vs Claude Opus 5: ↑ 58.8%
vs GPT-5.6 Sol: ↑ 58.5%
#19

Gemini 3.1 Pro
Google

$0.829000
vs Claude Opus 5: ↑ 59.8%
vs GPT-5.6 Sol: ↑ 59.4%
#20

Claude Fable 5.1
Anthropic

$1.018750 (rounded ~ $1.02)
vs Claude Opus 5: ↑ 96.4%
vs GPT-5.6 Sol: ↑ 95.9%
#21

Claude Mythos 5.1
Anthropic

$1.018750 (rounded ~ $1.02)
vs Claude Opus 5: ↑ 96.4%
vs GPT-5.6 Sol: ↑ 95.9%
#22

GPT-5.4
OpenAI

$1.036250 (rounded ~ $1.04)
vs Claude Opus 5: ↑ 99.8%
vs GPT-5.6 Sol: ↑ 99.3%
#23

GPT-5.4 Thinking
OpenAI

$1.036250 (rounded ~ $1.04)
vs Claude Opus 5: ↑ 99.8%
vs GPT-5.6 Sol: ↑ 99.3%
#24

Claude Fable 5
Anthropic

$1.037500 (rounded ~ $1.04)
vs Claude Opus 5: ↑ 100%
vs GPT-5.6 Sol: ↑ 99.5%
#25

Claude Mythos 5
Anthropic

$1.037500 (rounded ~ $1.04)
vs Claude Opus 5: ↑ 100%
vs GPT-5.6 Sol: ↑ 99.5%
#26

GPT-5.5
OpenAI

$2.072500 (rounded ~ $2.07)
vs Claude Opus 5: ↑ 299.5%
vs GPT-5.6 Sol: ↑ 298.6%
#27

GPT-6 Astra
OpenAI

$4.150000
vs Claude Opus 5: ↑ 700%
vs GPT-5.6 Sol: ↑ 698.1%
#28

GPT-6 Astra
OpenAI

$4.150000
vs Claude Opus 5: ↑ 700%
vs GPT-5.6 Sol: ↑ 698.1%
✨ 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 Between Frontier Models for Legal Workflows

In 2026, the legal technology landscape has matured beyond general-purpose chatbots. CTOs now demand high-fidelity reasoning for complex contract review, where a single missed clause or hallucinated interpretation poses significant liability. When processing 500K-token document sets—typical for M&A due diligence or large-scale portfolio audits—the choice between Claude Opus 5 and GPT-5.6 Sol hinges on architectural strengths.

Claude Opus 5 has emerged as a preferred choice for legal professionals who prioritize nuanced instruction following and complex structural reasoning. Its internal thinking mechanisms are particularly effective at navigating dense, multi-party agreements where consistency across 50+ page documents is paramount. It excels at maintaining context without losing the thread of definitions or cross-referenced liabilities.

Conversely, GPT-5.6 Sol offers a robust reasoning engine that is often favored for its speed and integration versatility. It is highly adept at standardized extraction tasks and structured output generation, making it a reliable workhorse for pipelines that feed into downstream document management systems. If your workflow relies heavily on agentic orchestration—where the model must interact with multiple data sources or external tools—GPT-5.6 Sol often provides a more seamless interface.

Ultimately, both models handle the 500K-token context window with ease. The decision often comes down to your internal engineering stack: prioritize Claude if your team demands the highest level of qualitative, clause-level nuance; lean toward GPT-5.6 Sol if your primary requirement is high-throughput, structured extraction that integrates directly into existing automated legal workflows.

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.