Claude Sonnet 4.6 vs GPT-5.4 mini for Structured Data Extraction at 10,000 PDFs

Claude Sonnet 4.6 vs GPT-5.4 mini
Complete Comparison: 100,000,000 input tokens × 500 output tokens
Comparison Mode
🖼️ 10000 Images ⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 10000 Images, 50% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 4.6
Anthropic
GPT-5.4 mini
OpenAI
Calculation Results (Current Inputs) (10000 images, 50% cached)
Input Tokens 100,000,000 100,000,000
Output Tokens 500 500
Cost Breakdown
Input Cost $78.870000Worst $19.717500 (rounded ~ $19.72)Best
Output Cost $0.001875Worst $0.000563Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $43.380375 Most Expensive $10.845188 (rounded ~ $10.85) Best Value
Processing Time 66 hours, 51 minutes, 40.88 seconds Slowest 60 hours, 10 minutes, 30.81 seconds Fastest
Tokens per Second 450Slowest 500Fastest
Time to First Token 200ms Worst 180ms Best
Cost per 1K tokens $0.000413Worst $0.000103Best
Tokens per Dollar 2,424,149Worst Value 9,696,513Best 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
10000
✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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All other parameters will be preserved from the current comparison.

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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 Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
▼
▼
Use Batch API (50% discount)
50%
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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$43.380375 Total Cost
$39.435000 Input Cost
$0.001875 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
105,160,500Total Tokens
$0.000413Cost per 1K
2,424,149Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

4011m 40s Processing Time
450 Tokens/Second
200ms Time to First Token
437 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

$43.380375
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium) ⚡ 50% Cached 📊 Batch API
👁️
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) $78.871875 (rounded ~ $78.87) Input: $78.870000
Output: $0.001875
Optimized Cost $43.380375 Input: $78.870000
Output: $0.001875
Unit: $0.000000
Fees: $0.000000
Total Savings $35.491500 (rounded ~ $35.49) 45.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000,000 input tokens and 500 output tokens:

  • Input Cost: $78.870000
  • Output Cost: $0.001875
  • Total Cost: $43.380375
  • Cost per 1K tokens: $0.000413
  • Tokens per dollar: 2,424,149 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: 66 hours, 51 minutes, 40.88 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

Comparison for high-scale document pipelines; choose Sonnet 4.6 for complex/varied layouts and GPT-5.4 mini for high-speedpredictable volume processing.

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.

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GPT-5.4 mini OpenAI

$10.845188 (rounded ~ $10.85)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium) ⚡ 50% Cached 📊 Batch API
👁️
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) $19.718063 (rounded ~ $19.72) Input: $19.717500 (rounded ~ $19.72)
Output: $0.000563
Optimized Cost $10.845188 (rounded ~ $10.85) Input: $19.717500 (rounded ~ $19.72)
Output: $0.000563
Unit: $0.000000
Fees: $0.000000
Total Savings $8.872875 (rounded ~ $8.87) 45.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000,000 input tokens and 500 output tokens:

  • Input Cost: $19.717500 (rounded ~ $19.72)
  • Output Cost: $0.000563
  • Total Cost: $10.845188 (rounded ~ $10.85)
  • Cost per 1K tokens: $0.000103
  • Tokens per dollar: 9,696,513 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: 60 hours, 10 minutes, 30.81 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second (temperature-adjusted)

Best Use Cases

Comparison for high-scale document pipelines; choose Sonnet 4.6 for complex/varied layouts and GPT-5.4 mini for high-speedpredictable volume processing.

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: 100,000,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Images: 10000 (Medium Resolution)
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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.

When scaling document processing to 10,000 PDFs, translation agencies and data operations teams must carefully choose between models that prioritize raw reasoning accuracy and those optimized for efficient, high-speed vision inference. Claude Sonnet 4.6 and GPT-5.4 mini represent the current standard for these divergent architectural needs.

Claude Sonnet 4.6 excels in environments where the document quality varies significantly or where the extraction logic requires nuanced understanding of context. Its strength lies in its instruction-following capabilities and its ability to maintain coherence across complex, multi-page layouts. For agencies that deal with messy, non-standardized invoices, Sonnet 4.6 provides a higher ceiling for reliability and structured output compliance, effectively acting as an intelligent agent rather than just a passive extractor. This makes it an ideal choice for workflows where downstream manual post-editing is expensive and must be minimized.

Conversely, GPT-5.4 mini is engineered for maximum throughput. In large-scale operations where the majority of invoices follow predictable patterns, the efficiency gains of GPT-5.4 mini become a significant operational advantage. It offers a faster, more streamlined approach to vision tasks, making it highly effective for bulk extraction pipelines where marginal gains in accuracy are less critical than consistent, low-latency performance. Choosing between these models often comes down to the trade-off between the depth of reasoning required for edge-case documents and the sheer operational throughput needed to process massive document batches at scale. Both models significantly outperform traditional OCR engines by understanding layout, semantic relationships, and visual context simultaneously.

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 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 with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.