Claude Opus 4.7 vs Gemini 3.1 Pro for 100,000 Product Image Variations

Claude Opus 4.7 vs Gemini 3.1 Pro
Complete Comparison: 100,000 input tokens × 5,000 output tokens
Comparison Mode
🖼️ 100000 Images

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 100000 Images.

🖼️ Multimodal Input 📊 Batch API
Comparison Criteria Claude Opus 4.7
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (100000 images)
Input Tokens 100,000 100,000
Output Tokens 5,000 5,000
Cost Breakdown
Input Cost $64.625000 (rounded ~ $64.63)Best $103.400000Worst
Output Cost $0.031250 (rounded ~ $0.03)Best $0.045000 (rounded ~ $0.05)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $64.656250 (rounded ~ $64.66) Best Value $103.445000 (rounded ~ $103.45) Most Expensive
Processing Time 59 hours, 6 minutes, 26.14 seconds Slowest 38 hours, 25 minutes, 11.05 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.001250Best $0.002001Worst
Tokens per Dollar 799,691Best Value 499,831Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Best $2.000000Worst
Output Cost / 1M (Base) $6.250000Best $9.000000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
$1.000000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$4.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
100000
✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support ✓ 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 Opus 4.7
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
▼
▼
Use Batch API (50% discount)
0%
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

$64.656250 Total Cost
$64.625000 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
51,705,000Total Tokens
$0.001250Cost per 1K
799,691Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3546m 26s Processing Time
260 Tokens/Second
400ms Time to First Token
243 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

$64.656250 (rounded ~ $64.66)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 100000 Image (Medium) 📊 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) $64.656250 (rounded ~ $64.66) Input: $64.625000 (rounded ~ $64.63)
Output: $0.031250 (rounded ~ $0.03)
Optimized Cost $64.656250 (rounded ~ $64.66) Input: $64.625000 (rounded ~ $64.63)
Output: $0.031250 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
51,600,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 100000
Resolution: Medium
Tokens: 51,600,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 5,000 output tokens:

  • Input Cost: $64.625000 (rounded ~ $64.63)
  • Output Cost: $0.031250 (rounded ~ $0.03)
  • Total Cost: $64.656250 (rounded ~ $64.66)
  • Cost per 1K tokens: $0.001250
  • Tokens per dollar: 799,691 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: 59 hours, 6 minutes, 26.14 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Suitable for enterprises needing to generate diverse product image variations using sophisticated multimodal modelsbalancing creative output with robust visual understanding and API integration.

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 →

Gemini 3.1 Pro Google 2000000

$103.445000 (rounded ~ $103.45)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.
🖼️ 100000 Image (Medium) 📊 Batch API
👁️
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) $103.445000 (rounded ~ $103.45) Input: $103.400000
Output: $0.045000 (rounded ~ $0.05)
Optimized Cost $103.445000 (rounded ~ $103.45) Input: $103.400000
Output: $0.045000 (rounded ~ $0.05)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
51,600,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🖼️ Images
Count: 100000
Resolution: Medium
Tokens: 51,600,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 5,000 output tokens:

  • Input Cost: $103.400000
  • Output Cost: $0.045000 (rounded ~ $0.05)
  • Total Cost: $103.445000 (rounded ~ $103.45)
  • Cost per 1K tokens: $0.002001
  • Tokens per dollar: 499,831 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: 38 hours, 25 minutes, 11.05 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Suitable for enterprises needing to generate diverse product image variations using sophisticated multimodal modelsbalancing creative output with robust visual understanding and API integration.

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 Opus 4.7
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Images: 100000 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs Gemini 3.1 Pro
🏆 Mistral Small 3
Mistral AI
 $1.292875 (rounded ~ $1.29) Best Value ↓ 98% cheaper ↓ 98.8% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $3.233125 (rounded ~ $3.23) ↓ 95% cheaper ↓ 96.9% cheaper
🥉 Gemini 2.5 Flash
Google
 $3.880625 ↓ 94% cheaper ↓ 96.2% cheaper
#4 Mistral Large 3
Mistral AI
 $6.464625 (rounded ~ $6.46) ↓ 90% cheaper ↓ 93.8% cheaper
#5 GPT-5.4 mini
OpenAI
 $9.699375 ↓ 85% cheaper ↓ 90.6% cheaper
#6 o4-mini Deep Research
OpenAI
 $12.930000 ↓ 80% cheaper ↓ 87.5% cheaper
#7 Claude Haiku 4.5
Anthropic
 $12.931250 (rounded ~ $12.93) ↓ 80% cheaper ↓ 87.5% cheaper
#8 o4-mini
OpenAI
 $14.223000 (rounded ~ $14.22) ↓ 78% cheaper ↓ 86.3% cheaper
#9 Grok 4.3
xAI
 $16.159375 ↓ 75% cheaper ↓ 84.4% cheaper
#10 Gemini 3.5 Flash
Google
 $19.398750 (rounded ~ $19.40) ↓ 70% cheaper ↓ 81.2% cheaper
#11 GPT-5.3 Codex Spark
OpenAI
 $22.636250 (rounded ~ $22.64) ↓ 65% cheaper ↓ 78.1% cheaper
#12 GPT-5.3 Instant
OpenAI
 $22.636250 (rounded ~ $22.64) ↓ 65% cheaper ↓ 78.1% cheaper
#13 Llama 4 Maverick (400B)
Meta AI
 $24.168000 (rounded ~ $24.17) ↓ 62.6% cheaper ↓ 76.6% cheaper
#14 Gemini 3.1 Flash
Google
 $25.865000 (rounded ~ $25.87) ↓ 60% cheaper ↓ 75% cheaper
#15 Claude Sonnet 4.6
Anthropic
 $38.793750 (rounded ~ $38.79) ↓ 40% cheaper ↓ 62.5% cheaper
#16 Claude Opus 4.8
Anthropic
 $64.656250 (rounded ~ $64.66) Same price ↓ 37.5% cheaper
#17 Claude Opus 4.6
Anthropic
 $64.656250 (rounded ~ $64.66) Same price ↓ 37.5% cheaper
#18 Gemini 2.5 Pro
Google
 $64.662500 (rounded ~ $64.66) Same price ↓ 37.5% cheaper
#19 GPT-5.5 Instant
OpenAI
 $64.662500 (rounded ~ $64.66) Same price ↓ 37.5% cheaper
#20 Gemini 3.1 Pro
Google
 $103.445000 (rounded ~ $103.45) ↑ 60% more Same price
#21 o3 Deep Research
OpenAI
 $129.300000 ↑ 100% more ↑ 25% more
#22 GPT-5.4
OpenAI
 $129.306250 (rounded ~ $129.31) ↑ 100% more ↑ 25% more
#23 GPT-5.4 Thinking
OpenAI
 $129.306250 (rounded ~ $129.31) ↑ 100% more ↑ 25% more
#24 o3 Pro
OpenAI
 $258.600000 ↑ 300% more ↑ 150% more
#25 GPT-5.5
OpenAI
 $258.612500 (rounded ~ $258.61) ↑ 300% more ↑ 150% more
#26 GPT-5.2 Pro
OpenAI
 $271.635000 (rounded ~ $271.64) ↑ 320.1% more ↑ 162.6% more
#27 GPT-5.5 Pro
OpenAI
 $387.975000 (rounded ~ $387.98) ↑ 500.1% more ↑ 275.1% more
#28 GPT-5.5 Pro
OpenAI
 $387.975000 (rounded ~ $387.98) ↑ 500.1% more ↑ 275.1% more
🏆

Mistral Small 3
Mistral AI

$1.292875 (rounded ~ $1.29)
vs Claude Opus 4.7: ↓ 98%
vs Gemini 3.1 Pro: ↓ 98.8%
🥈

Gemini 3.1 Flash Lite
Google

$3.233125 (rounded ~ $3.23)
vs Claude Opus 4.7: ↓ 95%
vs Gemini 3.1 Pro: ↓ 96.9%
🥉

Gemini 2.5 Flash
Google

$3.880625
vs Claude Opus 4.7: ↓ 94%
vs Gemini 3.1 Pro: ↓ 96.2%
#4

Mistral Large 3
Mistral AI

$6.464625 (rounded ~ $6.46)
vs Claude Opus 4.7: ↓ 90%
vs Gemini 3.1 Pro: ↓ 93.8%
#5

GPT-5.4 mini
OpenAI

$9.699375
vs Claude Opus 4.7: ↓ 85%
vs Gemini 3.1 Pro: ↓ 90.6%
#6

o4-mini Deep Research
OpenAI

$12.930000
vs Claude Opus 4.7: ↓ 80%
vs Gemini 3.1 Pro: ↓ 87.5%
#7

Claude Haiku 4.5
Anthropic

$12.931250 (rounded ~ $12.93)
vs Claude Opus 4.7: ↓ 80%
vs Gemini 3.1 Pro: ↓ 87.5%
#8

o4-mini
OpenAI

$14.223000 (rounded ~ $14.22)
vs Claude Opus 4.7: ↓ 78%
vs Gemini 3.1 Pro: ↓ 86.3%
#9

Grok 4.3
xAI

$16.159375
vs Claude Opus 4.7: ↓ 75%
vs Gemini 3.1 Pro: ↓ 84.4%
#10

Gemini 3.5 Flash
Google

$19.398750 (rounded ~ $19.40)
vs Claude Opus 4.7: ↓ 70%
vs Gemini 3.1 Pro: ↓ 81.2%
#11

GPT-5.3 Codex Spark
OpenAI

$22.636250 (rounded ~ $22.64)
vs Claude Opus 4.7: ↓ 65%
vs Gemini 3.1 Pro: ↓ 78.1%
#12

GPT-5.3 Instant
OpenAI

$22.636250 (rounded ~ $22.64)
vs Claude Opus 4.7: ↓ 65%
vs Gemini 3.1 Pro: ↓ 78.1%
#13

Llama 4 Maverick (400B)
Meta AI

$24.168000 (rounded ~ $24.17)
vs Claude Opus 4.7: ↓ 62.6%
vs Gemini 3.1 Pro: ↓ 76.6%
#14

Gemini 3.1 Flash
Google

$25.865000 (rounded ~ $25.87)
vs Claude Opus 4.7: ↓ 60%
vs Gemini 3.1 Pro: ↓ 75%
#15

Claude Sonnet 4.6
Anthropic

$38.793750 (rounded ~ $38.79)
vs Claude Opus 4.7: ↓ 40%
vs Gemini 3.1 Pro: ↓ 62.5%
#16

Claude Opus 4.8
Anthropic

$64.656250 (rounded ~ $64.66)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.5%
#17

Claude Opus 4.6
Anthropic

$64.656250 (rounded ~ $64.66)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.5%
#18

Gemini 2.5 Pro
Google

$64.662500 (rounded ~ $64.66)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.5%
#19

GPT-5.5 Instant
OpenAI

$64.662500 (rounded ~ $64.66)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.5%
#20

Gemini 3.1 Pro
Google

$103.445000 (rounded ~ $103.45)
vs Claude Opus 4.7: ↑ 60%
vs Gemini 3.1 Pro: Same
#21

o3 Deep Research
OpenAI

$129.300000
vs Claude Opus 4.7: ↑ 100%
vs Gemini 3.1 Pro: ↑ 25%
#22

GPT-5.4
OpenAI

$129.306250 (rounded ~ $129.31)
vs Claude Opus 4.7: ↑ 100%
vs Gemini 3.1 Pro: ↑ 25%
#23

GPT-5.4 Thinking
OpenAI

$129.306250 (rounded ~ $129.31)
vs Claude Opus 4.7: ↑ 100%
vs Gemini 3.1 Pro: ↑ 25%
#24

o3 Pro
OpenAI

$258.600000
vs Claude Opus 4.7: ↑ 300%
vs Gemini 3.1 Pro: ↑ 150%
#25

GPT-5.5
OpenAI

$258.612500 (rounded ~ $258.61)
vs Claude Opus 4.7: ↑ 300%
vs Gemini 3.1 Pro: ↑ 150%
#26

GPT-5.2 Pro
OpenAI

$271.635000 (rounded ~ $271.64)
vs Claude Opus 4.7: ↑ 320.1%
vs Gemini 3.1 Pro: ↑ 162.6%
#27

GPT-5.5 Pro
OpenAI

$387.975000 (rounded ~ $387.98)
vs Claude Opus 4.7: ↑ 500.1%
vs Gemini 3.1 Pro: ↑ 275.1%
#28

GPT-5.5 Pro
OpenAI

$387.975000 (rounded ~ $387.98)
vs Claude Opus 4.7: ↑ 500.1%
vs Gemini 3.1 Pro: ↑ 275.1%
✨ 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.

Multimodal Power for Diverse Product Imagery

When generating 100,000 product image variations, enterprise architects need to consider sophisticated multimodal models capable of both understanding existing product photos and creating novel, high-quality outputs. Claude Opus 4.7 and Gemini 3.1 Pro represent top-tier choices, each offering advanced vision capabilities that can be leveraged for variation tasks. Claude Opus 4.7, with its enhanced high-resolution image support and strong instruction-following, can be directed to produce precise variations based on detailed stylistic prompts. Gemini 3.1 Pro, known for its broad multimodal understanding and advanced reasoning, offers a versatile platform for exploring a wider range of creative visual directions. When comparing these two, technical writers should evaluate their strengths in interpreting input product photos, the nuance in generating diverse stylistic outputs, and how their respective vision processing integrates with token-based pricing models. Factors beyond raw image quality, such as API latency, consistency of output across large batches, and the ease of integration into existing e-commerce pipelines, will heavily influence the final decision for enterprise-scale image generation.

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 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.