Enterprise OCR Cost: Gemini 3.5 Flash vs Claude Sonnet 4.6 for 1,000 Monthly Invoice Extractions

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Sonnet 5 pricing →  ·  All recent pricing changes

Gemini 3.5 Flash vs Claude Sonnet 4.6
Complete Comparison: 2,000,000 input tokens × 1,000 output tokens
Comparison Mode
🖼️ 1000 Images ⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1000 Images, 50% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.5 Flash
Google
Claude Sonnet 4.6
Anthropic
Calculation Results (Current Inputs) (1000 images, 50% cached)
Input Tokens 2,000,000 2,000,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.943500 (rounded ~ $0.94)Best $1.887000 (rounded ~ $1.89)Worst
Output Cost $0.002250Best $0.003750Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.521175 (rounded ~ $0.52) Best Value $1.041600 (rounded ~ $1.04) Most Expensive
Processing Time 50 minutes, 20.58 seconds Fastest 1 hour, 35 minutes, 5.38 seconds Slowest
Tokens per Second 850Fastest 450Slowest
Time to First Token 90ms Best 200ms Worst
Cost per 1K tokens $0.000207Best $0.000414Worst
Tokens per Dollar 4,829,472Best Value 2,416,475Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.375000 (rounded ~ $0.38)Best $0.750000Worst
Output Cost / 1M (Base) $2.250000Best $3.750000Worst
Input Cost / 1M (Optimized) $0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
$0.375000 (rounded ~ $0.38)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.125000 (rounded ~ $1.13)Best
Optimizations: 50.0% batch
$1.875000 (rounded ~ $1.88)Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
1000
✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Gemini 3.5 Flash
GoogleMax Context: 1,000,000 tokens
$1.5 / $9 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

$0.521175 Total Cost
$0.471750 Input Cost
$0.002250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,517,000Total Tokens
$0.000207Cost per 1K
4,829,472Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

50m 20s Processing Time
850 Tokens/Second
90ms Time to First Token
833 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.

Gemini 3.5 Flash Google 1000000

$0.521175 (rounded ~ $0.52)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 1000 Image (Medium) ⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.945750 (rounded ~ $0.95) Input: $0.943500 (rounded ~ $0.94)
Output: $0.002250
Optimized Cost $0.521175 (rounded ~ $0.52) Input: $0.943500 (rounded ~ $0.94)
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Total Savings $0.424575 (rounded ~ $0.42) 44.9% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
516,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 1000
Resolution: Medium
Tokens: 516,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 2,000,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.943500 (rounded ~ $0.94)
  • Output Cost: $0.002250
  • Total Cost: $0.521175 (rounded ~ $0.52)
  • Cost per 1K tokens: $0.000207
  • Tokens per dollar: 4,829,472 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 90ms time to first token:

  • Processing Time: 50 minutes, 20.58 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 833 tokens/second (temperature-adjusted)

Best Use Cases

Gemini 3.5 Flash for high-volumecost-optimized batch processing; Claude Sonnet 4.6 for complex document layouts requiring high reasoning accuracy.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.5 Flash. 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 →

Claude Sonnet 4.6 Anthropic 1000000

$1.041600 (rounded ~ $1.04)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 1000 Image (Medium) ⚡ 50% 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) $1.890750 Input: $1.887000 (rounded ~ $1.89)
Output: $0.003750
Optimized Cost $1.041600 (rounded ~ $1.04) Input: $1.887000 (rounded ~ $1.89)
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.849150 44.9% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
516,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 1000
Resolution: Medium
Tokens: 516,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 2,000,000 input tokens and 1,000 output tokens:

  • Input Cost: $1.887000 (rounded ~ $1.89)
  • Output Cost: $0.003750
  • Total Cost: $1.041600 (rounded ~ $1.04)
  • Cost per 1K tokens: $0.000414
  • Tokens per dollar: 2,416,475 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: 1 hour, 35 minutes, 5.38 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

Gemini 3.5 Flash for high-volumecost-optimized batch processing; Claude Sonnet 4.6 for complex document layouts requiring high reasoning accuracy.

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.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.5 Flash
📋 Active Input Parameters
Input Tokens: 2,000,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Images: 1000 (Medium Resolution)
Tools: Enabled
🔍
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.

For enterprise teams processing 1,000 invoices monthly, the choice between Gemini 3.5 Flash and Claude Sonnet 4.6 often comes down to the specific nature of your document layout and your existing automation stack. Both models represent the state-of-the-art for multimodal structured data extraction, capable of handling scanned PDFs, borderless tables, and handwritten notes that previously required brittle, template-based OCR services.

Gemini 3.5 Flash excels in high-throughput environments where latency and operational cost are the primary drivers. Its multimodal architecture is optimized for dense spatial understanding, making it particularly effective at identifying line items across inconsistent layouts without needing extensive prompt engineering. If your pipeline involves hundreds of thousands of documents annually and you require a model that can integrate seamlessly with Google Cloud’s agentic ecosystem, Gemini 3.5 Flash is frequently the more efficient choice.

Claude Sonnet 4.6, conversely, is often preferred for extraction tasks that demand higher reasoning depth, especially when invoices contain complex, nested tax logic, or require semantic interpretation of non-standard vendor terms. Sonnet 4.6 is known for superior instruction following and structured output reliability, which can significantly reduce the need for downstream validation logic. If your invoice extraction pipeline is part of a broader agentic workflow that requires complex planning or decision-making beyond simple capture, the additional reasoning capability of Claude Sonnet 4.6 provides a substantial quality advantage. Choosing the right tool depends on whether your priority is raw processing efficiency or the highest possible accuracy for highly irregular, high-stakes document sets.

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.

Related model pricing

Gemini 3.5 Flash currently costs $1.50 / $9.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →