Claude Opus 4.7 vs GPT-5.5 Pro for 1 Million Token Legal Discovery

Claude Opus 4.7 vs GPT-5.5 Pro
Complete Comparison: 1,000,000 input tokens × 5,000 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 Claude Opus 4.7
Anthropic
GPT-5.5 Pro
OpenAI
Calculation Results (Current Inputs) (40% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 5,000 5,000
Cost Breakdown
Input Cost $1.250000Best $7.500000Worst
Output Cost $0.031250 (rounded ~ $0.03)Best $0.225000 (rounded ~ $0.23)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.831250 (rounded ~ $0.83) Best Value $7.725000 (rounded ~ $7.73) Most Expensive
Processing Time 1 hour, 6 minutes, 21.53 seconds Slowest 50 minutes, 44.74 seconds Fastest
Tokens per Second 260Slowest 340Fastest
Time to First Token 400ms Worst 260ms Best
Cost per 1K tokens $0.000827Best $0.007687 (rounded ~ $0.01)Worst
Tokens per Dollar 1,209,023Best Value 130,097Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Best $7.500000Worst
Output Cost / 1M (Base) $6.250000Best $45.000000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
$3.750000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$22.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
40
✓ Supported ✗ Not Supported requested
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Claude Opus 4.7
AnthropicMax Context: 1,000,000 tokens
$5 / $25 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

$0.831250 Total Cost
$0.750000 Input Cost
$0.031250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,005,000Total Tokens
$0.000827Cost per 1K
1,209,023Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

66m 21s Processing Time
260 Tokens/Second
400ms Time to First Token
252 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 4.7 Anthropic 1000000

$0.831250 (rounded ~ $0.83)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 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) $1.281250 (rounded ~ $1.28) Input: $1.250000
Output: $0.031250 (rounded ~ $0.03)
Optimized Cost $0.831250 (rounded ~ $0.83) Input: $1.250000
Output: $0.031250 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.450000 35.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 5,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.031250 (rounded ~ $0.03)
  • Total Cost: $0.831250 (rounded ~ $0.83)
  • Cost per 1K tokens: $0.000827
  • Tokens per dollar: 1,209,023 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: 1 hour, 6 minutes, 21.53 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 252 tokens/second (temperature-adjusted)

Best Use Cases

Choose Opus 4.7 for superior nuance and long-context stability; choose GPT-5.5 Pro for agentic tool-use and high-velocity reasoning.

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 →

GPT-5.5 Pro OpenAI 1000000

$7.725000 (rounded ~ $7.73)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 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) $7.725000 (rounded ~ $7.73) Input: $7.500000
Output: $0.225000 (rounded ~ $0.23)
Optimized Cost $7.725000 (rounded ~ $7.73) Input: $7.500000
Output: $0.225000 (rounded ~ $0.23)
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 1,000,000 input tokens and 5,000 output tokens:

  • Input Cost: $7.500000
  • Output Cost: $0.225000 (rounded ~ $0.23)
  • Total Cost: $7.725000 (rounded ~ $7.73)
  • Cost per 1K tokens: $0.007687 (rounded ~ $0.01)
  • Tokens per dollar: 130,097 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: 50 minutes, 44.74 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 330 tokens/second (temperature-adjusted)

Best Use Cases

Choose Opus 4.7 for superior nuance and long-context stability; choose GPT-5.5 Pro for agentic tool-use and high-velocity reasoning.

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.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.7
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.5 Pro
🏆 Grok 4.20 Beta
xAI
 $0.327500 (rounded ~ $0.33) Best Value ↓ 60.6% cheaper ↓ 95.8% cheaper
🥈 Gemini 2.5 Pro
Google
 $0.837500 (rounded ~ $0.84) ↑ 0.8% more ↓ 89.2% cheaper
🥉 Gemini 3.1 Pro
Google
 $1.325000 (rounded ~ $1.33) ↑ 59.4% more ↓ 82.8% cheaper
#4 GPT-5.4
OpenAI
 $1.656250 (rounded ~ $1.66) ↑ 99.2% more ↓ 78.6% cheaper
#5 GPT-5.4 Thinking
OpenAI
 $1.656250 (rounded ~ $1.66) ↑ 99.2% more ↓ 78.6% cheaper
#6 GPT-5.4 Thinking
OpenAI
 $1.656250 (rounded ~ $1.66) ↑ 99.2% more ↓ 78.6% cheaper
🏆

Grok 4.20 Beta
xAI

$0.327500 (rounded ~ $0.33)
vs Claude Opus 4.7: ↓ 60.6%
vs GPT-5.5 Pro: ↓ 95.8%
🥈

Gemini 2.5 Pro
Google

$0.837500 (rounded ~ $0.84)
vs Claude Opus 4.7: ↑ 0.8%
vs GPT-5.5 Pro: ↓ 89.2%
🥉

Gemini 3.1 Pro
Google

$1.325000 (rounded ~ $1.33)
vs Claude Opus 4.7: ↑ 59.4%
vs GPT-5.5 Pro: ↓ 82.8%
#4

GPT-5.4
OpenAI

$1.656250 (rounded ~ $1.66)
vs Claude Opus 4.7: ↑ 99.2%
vs GPT-5.5 Pro: ↓ 78.6%
#5

GPT-5.4 Thinking
OpenAI

$1.656250 (rounded ~ $1.66)
vs Claude Opus 4.7: ↑ 99.2%
vs GPT-5.5 Pro: ↓ 78.6%
#6

GPT-5.4 Thinking
OpenAI

$1.656250 (rounded ~ $1.66)
vs Claude Opus 4.7: ↑ 99.2%
vs GPT-5.5 Pro: ↓ 78.6%
✨ 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.

High-Stakes Contract Analysis

For legal tech engineers, the transition from simple clause extraction to full-scale automated due diligence requires models that can maintain citation accuracy across massive document sets. When reviewing dense, 50-page contracts at an enterprise scale, the choice between these two flagship models often hinges on the trade-off between raw reasoning depth and the strictness of instruction following over long contexts.

  • Claude Opus 4.7 is frequently favored for its nuanced grasp of complex legal terminology and its ability to maintain a consistent persona during long-form synthesis. Its performance in large-scale discovery is particularly stable, significantly reducing the frequency of hallucinations in ‘middle-of-document’ data retrieval.
  • GPT-5.5 Pro provides a robust alternative for teams requiring high-velocity agentic workflows. Its superior ability to trigger complex tool calls and perform multi-step logical reasoning makes it a strong candidate for pipelines where extraction is merely the first step in a larger compliance or litigation strategy.

Decision leads should evaluate these options based on their internal gold-standard datasets for recall. While both support 1 million token context windows, the way each handles nested clauses and contradictory definitions within a single request can vary based on the specific legal domain. Furthermore, enterprise architects must consider API reliability and the maturity of vendor-specific features like prompt caching when projecting long-term operational stability.

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.