Claude Sonnet 4.6 vs. Gemini 3.1 Pro: Vision Analysis for 500 Archive Documents

Claude Sonnet 4.6 vs Gemini 3.1 Pro
Complete Comparison: 250,000 input tokens × 5,000 output tokens
Comparison Mode
🖼️ 500 Images ⚡ 45% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 500 Images, 45% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 4.6
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (500 images, 45% cached)
Input Tokens 250,000 250,000
Output Tokens 5,000 5,000
Cost Breakdown
Input Cost $0.381000 (rounded ~ $0.38)Best $1.016000 (rounded ~ $1.02)Worst
Output Cost $0.018750 (rounded ~ $0.02)Best $0.045000 (rounded ~ $0.05)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.245445 (rounded ~ $0.25) Best Value $0.649520 Most Expensive
Processing Time 20 minutes, 19.98 seconds Fastest 22 minutes, 52.46 seconds Slowest
Tokens per Second 450Fastest 400Slowest
Time to First Token 200ms Best 220ms Worst
Cost per 1K tokens $0.000478Best $0.001266Worst
Tokens per Dollar 2,090,081Best Value 789,814Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Best $2.000000Worst
Output Cost / 1M (Base) $3.750000Best $9.000000Worst
Input Cost / 1M (Optimized) $0.375000 (rounded ~ $0.38)Best
Optimizations: 50.0% batch
$1.000000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.875000 (rounded ~ $1.88)Best
Optimizations: 50.0% batch
$4.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
500
✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
45
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Claude Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
▼
▼
Use Batch API (50% discount)
45%
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

$0.245445 Total Cost
$0.209550 Input Cost
$0.018750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
513,000Total Tokens
$0.000478Cost per 1K
2,090,081Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

20m 19s Processing Time
450 Tokens/Second
200ms Time to First Token
421 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

$0.245445 (rounded ~ $0.25)
Total Cost
🖼️ 500 Image (Medium) ⚡ 45% 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) $0.399750 Input: $0.381000 (rounded ~ $0.38)
Output: $0.018750 (rounded ~ $0.02)
Optimized Cost $0.245445 (rounded ~ $0.25) Input: $0.381000 (rounded ~ $0.38)
Output: $0.018750 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.154305 (rounded ~ $0.15) 38.6% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 500
Resolution: Medium
Tokens: 258,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 250,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.381000 (rounded ~ $0.38)
  • Output Cost: $0.018750 (rounded ~ $0.02)
  • Total Cost: $0.245445 (rounded ~ $0.25)
  • Cost per 1K tokens: $0.000478
  • Tokens per dollar: 2,090,081 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: 20 minutes, 19.98 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Compares two leading multimodal models for analyzing complex scanned documentshighlighting their vision capabilities for layout interpretationvisual element analysisand advanced content understanding in archival research.

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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Gemini 3.1 Pro Google 2000000

$0.649520
Total Cost
🖼️ 500 Image (Medium) ⚡ 45% 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) $1.061000 Input: $1.016000 (rounded ~ $1.02)
Output: $0.045000 (rounded ~ $0.05)
Optimized Cost $0.649520 Input: $1.016000 (rounded ~ $1.02)
Output: $0.045000 (rounded ~ $0.05)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.411480 (rounded ~ $0.41) 38.8% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🖼️ Images
Count: 500
Resolution: Medium
Tokens: 258,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 250,000 input tokens and 5,000 output tokens:

  • Input Cost: $1.016000 (rounded ~ $1.02)
  • Output Cost: $0.045000 (rounded ~ $0.05)
  • Total Cost: $0.649520
  • Cost per 1K tokens: $0.001266
  • Tokens per dollar: 789,814 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 22 minutes, 52.46 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Compares two leading multimodal models for analyzing complex scanned documentshighlighting their vision capabilities for layout interpretationvisual element analysisand advanced content understanding in archival research.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 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 Sonnet 4.6
📋 Active Input Parameters
Input Tokens: 250,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 45%
Images: 500 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs Gemini 3.1 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.020766 Best Value ↓ 91.5% cheaper ↓ 96.8% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.025795 (rounded ~ $0.03) ↓ 89.5% cheaper ↓ 96% cheaper
🥉 Mistral Large 3
Mistral AI
 $0.039908 ↓ 83.7% cheaper ↓ 93.9% cheaper
#4 GPT-5.4 mini
OpenAI
 $0.062299 (rounded ~ $0.06) ↓ 74.6% cheaper ↓ 90.4% cheaper
#5 Claude Haiku 4.5
Anthropic
 $0.081815 (rounded ~ $0.08) ↓ 66.7% cheaper ↓ 87.4% cheaper
#6 Grok 4.3
xAI
 $0.097581 (rounded ~ $0.10) ↓ 60.2% cheaper ↓ 85% cheaper
#7 Gemini 3.5 Flash
Google
 $0.124598 (rounded ~ $0.12) ↓ 49.2% cheaper ↓ 80.8% cheaper
#8 Gemini 3.1 Flash
Google
 $0.166130 (rounded ~ $0.17) ↓ 32.3% cheaper ↓ 74.4% cheaper
#9 Claude Opus 4.7
Anthropic
 $0.409075 ↑ 66.7% more ↓ 37% cheaper
#10 Claude Opus 4.8
Anthropic
 $0.409075 ↑ 66.7% more ↓ 37% cheaper
#11 Claude Opus 4.6
Anthropic
 $0.409075 ↑ 66.7% more ↓ 37% cheaper
#12 Gemini 2.5 Pro
Google
 $0.415325 (rounded ~ $0.42) ↑ 69.2% more ↓ 36.1% cheaper
#13 GPT-5.5 Instant
OpenAI
 $0.415325 (rounded ~ $0.42) ↑ 69.2% more ↓ 36.1% cheaper
#14 Gemini 3.1 Pro
Google
 $0.649520 ↑ 164.6% more Same price
#15 GPT-5.4
OpenAI
 $0.811900 (rounded ~ $0.81) ↑ 230.8% more ↑ 25% more
#16 GPT-5.4 Thinking
OpenAI
 $0.811900 (rounded ~ $0.81) ↑ 230.8% more ↑ 25% more
#17 GPT-5.5
OpenAI
 $1.623800 (rounded ~ $1.62) ↑ 561.6% more ↑ 150% more
#18 GPT-5.5
OpenAI
 $1.623800 (rounded ~ $1.62) ↑ 561.6% more ↑ 150% more
🏆

Gemini 3.1 Flash Lite
Google

$0.020766
vs Claude Sonnet 4.6: ↓ 91.5%
vs Gemini 3.1 Pro: ↓ 96.8%
🥈

Gemini 2.5 Flash
Google

$0.025795 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 89.5%
vs Gemini 3.1 Pro: ↓ 96%
🥉

Mistral Large 3
Mistral AI

$0.039908
vs Claude Sonnet 4.6: ↓ 83.7%
vs Gemini 3.1 Pro: ↓ 93.9%
#4

GPT-5.4 mini
OpenAI

$0.062299 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↓ 74.6%
vs Gemini 3.1 Pro: ↓ 90.4%
#5

Claude Haiku 4.5
Anthropic

$0.081815 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↓ 66.7%
vs Gemini 3.1 Pro: ↓ 87.4%
#6

Grok 4.3
xAI

$0.097581 (rounded ~ $0.10)
vs Claude Sonnet 4.6: ↓ 60.2%
vs Gemini 3.1 Pro: ↓ 85%
#7

Gemini 3.5 Flash
Google

$0.124598 (rounded ~ $0.12)
vs Claude Sonnet 4.6: ↓ 49.2%
vs Gemini 3.1 Pro: ↓ 80.8%
#8

Gemini 3.1 Flash
Google

$0.166130 (rounded ~ $0.17)
vs Claude Sonnet 4.6: ↓ 32.3%
vs Gemini 3.1 Pro: ↓ 74.4%
#9

Claude Opus 4.7
Anthropic

$0.409075
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↓ 37%
#10

Claude Opus 4.8
Anthropic

$0.409075
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↓ 37%
#11

Claude Opus 4.6
Anthropic

$0.409075
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↓ 37%
#12

Gemini 2.5 Pro
Google

$0.415325 (rounded ~ $0.42)
vs Claude Sonnet 4.6: ↑ 69.2%
vs Gemini 3.1 Pro: ↓ 36.1%
#13

GPT-5.5 Instant
OpenAI

$0.415325 (rounded ~ $0.42)
vs Claude Sonnet 4.6: ↑ 69.2%
vs Gemini 3.1 Pro: ↓ 36.1%
#14

Gemini 3.1 Pro
Google

$0.649520
vs Claude Sonnet 4.6: ↑ 164.6%
vs Gemini 3.1 Pro: Same
#15

GPT-5.4
OpenAI

$0.811900 (rounded ~ $0.81)
vs Claude Sonnet 4.6: ↑ 230.8%
vs Gemini 3.1 Pro: ↑ 25%
#16

GPT-5.4 Thinking
OpenAI

$0.811900 (rounded ~ $0.81)
vs Claude Sonnet 4.6: ↑ 230.8%
vs Gemini 3.1 Pro: ↑ 25%
#17

GPT-5.5
OpenAI

$1.623800 (rounded ~ $1.62)
vs Claude Sonnet 4.6: ↑ 561.6%
vs Gemini 3.1 Pro: ↑ 150%
#18

GPT-5.5
OpenAI

$1.623800 (rounded ~ $1.62)
vs Claude Sonnet 4.6: ↑ 561.6%
vs Gemini 3.1 Pro: ↑ 150%
✨ 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 analyzing legacy archives, documents often contain complex layouts, images, and dense text that require sophisticated vision capabilities beyond basic OCR. Claude Sonnet 4.6 and Gemini 3.1 Pro both offer advanced multimodal understanding, enabling researchers to not only extract text but also interpret visual elements and document structure. Gemini 3.1 Pro is noted for its strong multimodal reasoning and ability to interpret UI screenshots, diagrams, and real-world scenes, which can translate to nuanced understanding of historical document layouts. Claude Sonnet 4.6, while excelling in reasoning and coding, also possesses vision capabilities that can aid in analyzing document content and structure. For archival projects involving scanned materials with rich visual information, comparing these two models can help researchers identify which best suits their needs for in-depth document interpretation and analysis.

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.