Automated Patent Auditing: 500-Claim Legal Cost

claude-opus-4.5 vs gpt-5
Complete Comparison: 550,000 input tokens × 20,000 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with multimodal input and caching optimization .

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings)
Comparison Criteria claude-opus-4.5
Anthropic
gpt-5
OpenAI
Input Parameters Applied (10 images, 15% cached)
Input Tokens 550,000 550,000
Output Tokens 20,000 20,000
Calculation Results
Input Cost $5.577400 (rounded ~ 5.58) Worst $0.976045 (rounded ~ 0.98) Best
Output Cost $0.750000 Worst $0.280000 Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $6.377400 (rounded ~ 6.38) Most Expensive $1.306045 (rounded ~ 1.31) Best Value
Processing Time 32 minutes, 5.00 seconds Slowest 21 minutes, 24.00 seconds Fastest
Tokens per Second 300 Slowest 450 Fastest
Time to First Token 350ms Worst 200ms Best
Cost per 1K tokens $0.009735 Worst $0.002033 (rounded ~ 0.00) Best
Tokens per Dollar 102,719 Worst Value 491,996 Best Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $10.000000 Worst $1.750000 Best
Output Cost / 1M (Base) $37.500000 Worst $14.000000 Best
Input Cost / 1M (Optimized) $10.000000 Worst
Optimizations: No optimizations applied
$1.750000 Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $37.500000 Worst
Optimizations: No optimizations applied
$14.000000 Best
Optimizations: No optimizations applied
Capabilities
Images Support
10 images
✓ Supported ✓ Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support Available Available
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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Second Model

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All other parameters will be preserved from the current comparison.

Select AI Model

Claude Opus 4.5
AnthropicMax Context: 1,000,000 tokens
Input: $5.000000 / 1M
Output: $25.000000 / 1M
State-dependent pricing active. Current tier: Standard

Calculate Token Costs

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▼
Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$5.624451Total Cost
$5.577400Input Cost
$0.750000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
577,740Total Tokens
$0.009735Cost per 1K
102,719Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
32m 5sProcessing Time
300Tokens/Second
350msTime to First Token
300Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
15%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 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-4.5 Anthropic 1000000

$6.377400 (rounded ~ 6.38)
Total Cost
👁️
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

Base Cost (No Optimizations) $6.377400 (rounded ~ 6.38) Input: $5.577400 (rounded ~ 5.58)
Output: $0.750000
Optimized Cost $6.377400 (rounded ~ 6.38) Input: $5.577400 (rounded ~ 5.58)
Output: $0.750000
Unit: $0.000000
Fees: $0.050000
Total Savings $0.752949 (rounded ~ 0.75) 11.8% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
7,740 tokens
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 10
Resolution: High
Tokens: 7,740
Cost: $0.000000

Detailed Cost Analysis

For 550,000 input tokens and 20,000 output tokens:

  • Input Cost: $5.577400 (rounded ~ 5.58)
  • Output Cost: $0.750000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $6.377400 (rounded ~ 6.38)
  • Cost per 1K tokens: $0.009735
  • Tokens per dollar: 102,719 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 350ms time to first token:

  • Processing Time: 32 minutes, 5.00 seconds
  • Latency: 350 milliseconds to first token
  • Base Throughput: 300 tokens/second

Best Use Cases

LegalIPPatent SearchResearch

gpt-5 OpenAI

$1.306045 (rounded ~ 1.31)
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 400,000 tokens.
👁️
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

Base Cost (No Optimizations) $1.306045 (rounded ~ 1.31) Input: $0.976045 (rounded ~ 0.98)
Output: $0.280000
Optimized Cost $1.306045 (rounded ~ 1.31) Input: $0.976045 (rounded ~ 0.98)
Output: $0.280000
Unit: $0.000000
Fees: $0.050000
Total Savings $0.131766 (rounded ~ 0.13) 10.1% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
7,740 tokens
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 10
Resolution: High
Tokens: 7,740
Cost: $0.000000

Detailed Cost Analysis

For 550,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.976045 (rounded ~ 0.98)
  • Output Cost: $0.280000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $1.306045 (rounded ~ 1.31)
  • Cost per 1K tokens: $0.002033 (rounded ~ 0.00)
  • Tokens per dollar: 491,996 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

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

  • Processing Time: 21 minutes, 24.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second

Best Use Cases

LegalIPPatent SearchResearch

Intellectual Property Unit Economics

Calculating the cost of analyzing complex multi-claim patent filings against existing global patent databases for infringement risks and novelty verification using 2026 reasoning-heavy models.

Legal Audit Parameters

  • Target Patent: 50,000 tokens (Full text + technical diagrams)
  • Database Search: 10 priority matches (500,000 tokens total)
  • Reasoning Mode: Deep logical verification (Chain-of-Thought)
  • Output: 20,000-word legal risk assessment report
  • Factuality Requirement: 100% (Zero-temperature setting)
  • Tool Usage: High (Legal database APIs + technical diagram analysis)

Legal Tech & IP Strategy ROI

Reducing legal spend on preliminary patent searches, accelerating filing timelines, and strengthening IP portfolios. Benchmarks Claude Opus 4.5’s reasoning against GPT-5’s logical capabilities.

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.
How are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.