How are image tokens calculated for AI models?

Images are tokenized based on resolution: Low (512px): 85 tokens, Medium (768px): 170 tokens, High (1024px): 255 tokens, Full (2048px): 765 tokens per image. For Claude Opus 4.7: 100000 images at medium resolution = 17,000,000 tokens.

What are cached tokens and how do they save money?

Cached tokens are repeated input tokens (like system prompts or conversation history) that providers charge at a discounted rate. Anthropic offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 50% of input tokens for optimized cost savings.

When should I use Batch API vs real-time API?

Use Batch API for non-realtime processing of large volumes where latency isn't critical (saves up to 40-60%). Use real-time API for interactive applications like chatbots. Batch processing is ideal for data analysis, content generation in bulk, and offline processing.

What should I consider when comparing different AI models?

When comparing AI models, focus on factors such as performance, accuracy, response speed, cost, scalability, and how well the model fits your specific use case. The right choice depends on your workload, budget, and the type of tasks you want the AI to handle. Using an AI cost and time calculator can help you make an informed, data-driven decision.

Claude Opus 4.7 vs Gemini 3.1 Pro for 100K Image Analysis at Enterprise Scale

Name: Gemini 3.1 Pro
Brand: Google
Price: 56.89 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Claude Opus 4.7 vs Gemini 3.1 Pro

Complete Comparison: 100,000 input tokens × 2,000 output tokens

🖼️ 100000 Images ⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 100000 Images, 50% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API

Comparison Criteria	Claude Opus 4.7 Anthropic	Gemini 3.1 Pro Google
Calculation Results (Current Inputs) (100000 images, 50% cached)
Input Tokens	100,000	100,000
Output Tokens	2,000	2,000
Cost Breakdown
Input Cost	$64.625000 (rounded ~ $64.63)Best	$103.400000Worst
Output Cost	$0.012500 (rounded ~ $0.01)Best	$0.018000 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$35.556250 (rounded ~ $35.56) Best Value	$56.888000 (rounded ~ $56.89) Most Expensive
Processing Time	59 hours, 6 minutes, 13.80 seconds Slowest	38 hours, 25 minutes, 3.03 seconds Fastest
Tokens per Second	260Slowest	400Fastest
Time to First Token	400ms Worst	220ms Best
Cost per 1K tokens	$0.000688Best	$0.001100Worst
Tokens per Dollar	1,454,090Best Value	908,838Worst 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 50	✓ Supported	✓ Supported
Batch API Support	✓ Supported	✓ Supported
Tool Usage Support	✓ Supported	✓ Supported

Scroll horizontally to see all data

🔄 Compare Different AI Models

First Model

Provider

Model

Second Model

Provider

Model

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

Claude Opus 4.7 Anthropic 1000000

$35.556250 (rounded ~ $35.56)

Total Cost

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

🖼️ 100000 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) $64.637500 (rounded ~ $64.64) Input: $64.625000 (rounded ~ $64.63)
Output: $0.012500 (rounded ~ $0.01)

Optimized Cost $35.556250 (rounded ~ $35.56) Input: $64.625000 (rounded ~ $64.63)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $29.081250 (rounded ~ $29.08) 45.0% discount

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 2,000 output tokens:

Input Cost: $64.625000 (rounded ~ $64.63)
Output Cost: $0.012500 (rounded ~ $0.01)
Total Cost: $35.556250 (rounded ~ $35.56)
Cost per 1K tokens: $0.000688
Tokens per dollar: 1,454,090 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, 13.80 seconds
Latency: 400 milliseconds to first token
Base Throughput: 260 tokens/second
Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Choosing between leading multimodal models for complex visual analysis tasks to inform creative generation workflows.

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

$56.888000 (rounded ~ $56.89)

Total Cost

⚠️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.

🖼️ 100000 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) $103.418000 (rounded ~ $103.42) Input: $103.400000
Output: $0.018000 (rounded ~ $0.02)

Optimized Cost $56.888000 (rounded ~ $56.89) Input: $103.400000
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000

Total Savings $46.530000 45.0% discount

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 2,000 output tokens:

Input Cost: $103.400000
Output Cost: $0.018000 (rounded ~ $0.02)
Total Cost: $56.888000 (rounded ~ $56.89)
Cost per 1K tokens: $0.001100
Tokens per dollar: 908,838 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, 3.03 seconds
Latency: 220 milliseconds to first token
Base Throughput: 400 tokens/second
Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Choosing between leading multimodal models for complex visual analysis tasks to inform creative generation workflows.

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: 2,000

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Images: 100000 (Medium Resolution)

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Claude Opus 4.7	vs Gemini 3.1 Pro
🏆	Mistral Small 3 Mistral AI	$0.711025 (rounded ~ $0.71) Best Value	↓ 98% cheaper	↓ 98.8% cheaper
🥈	Gemini 3.1 Flash Lite Google	$1.777938 (rounded ~ $1.78)	↓ 95% cheaper	↓ 96.9% cheaper
🥉	Gemini 2.5 Flash Google	$2.133875 (rounded ~ $2.13)	↓ 94% cheaper	↓ 96.2% cheaper
#4	Mistral Large 3 Mistral AI	$3.555375 (rounded ~ $3.56)	↓ 90% cheaper	↓ 93.8% cheaper
#5	GPT-5.4 mini OpenAI	$5.333813 (rounded ~ $5.33)	↓ 85% cheaper	↓ 90.6% cheaper
#6	o4-mini Deep Research OpenAI	$7.110750	↓ 80% cheaper	↓ 87.5% cheaper
#7	Claude Haiku 4.5 Anthropic	$7.111250 (rounded ~ $7.11)	↓ 80% cheaper	↓ 87.5% cheaper
#8	o4-mini OpenAI	$7.821825 (rounded ~ $7.82)	↓ 78% cheaper	↓ 86.3% cheaper
#9	Grok 4.3 xAI	$8.887188 (rounded ~ $8.89)	↓ 75% cheaper	↓ 84.4% cheaper
#10	Gemini 3.5 Flash Google	$10.667625 (rounded ~ $10.67)	↓ 70% cheaper	↓ 81.2% cheaper
#11	GPT-5.3 Codex Spark OpenAI	$12.447313 (rounded ~ $12.45)	↓ 65% cheaper	↓ 78.1% cheaper
#12	GPT-5.3 Instant OpenAI	$12.447313 (rounded ~ $12.45)	↓ 65% cheaper	↓ 78.1% cheaper
#13	Gemini 3.1 Flash Google	$14.223500 (rounded ~ $14.22)	↓ 60% cheaper	↓ 75% cheaper
#14	Claude Sonnet 4.6 Anthropic	$21.333750 (rounded ~ $21.33)	↓ 40% cheaper	↓ 62.5% cheaper
#15	Claude Opus 4.8 Anthropic	$35.556250 (rounded ~ $35.56)	Same price	↓ 37.5% cheaper
#16	Claude Opus 4.6 Anthropic	$35.556250 (rounded ~ $35.56)	Same price	↓ 37.5% cheaper
#17	Gemini 2.5 Pro Google	$35.558750 (rounded ~ $35.56)	Same price	↓ 37.5% cheaper
#18	GPT-5.5 Instant OpenAI	$35.558750 (rounded ~ $35.56)	Same price	↓ 37.5% cheaper
#19	Gemini 3.1 Pro Google	$56.888000 (rounded ~ $56.89)	↑ 60% more	Same price
#20	o3 Deep Research OpenAI	$71.107500 (rounded ~ $71.11)	↑ 100% more	↑ 25% more
#21	GPT-5.4 OpenAI	$71.110000	↑ 100% more	↑ 25% more
#22	GPT-5.4 Thinking OpenAI	$71.110000	↑ 100% more	↑ 25% more
#23	o3 Pro OpenAI	$142.215000 (rounded ~ $142.22)	↑ 300% more	↑ 150% more
#24	GPT-5.5 OpenAI	$142.220000	↑ 300% more	↑ 150% more
#25	GPT-5.2 Pro OpenAI	$149.367750 (rounded ~ $149.37)	↑ 320.1% more	↑ 162.6% more
#26	GPT-5.2 Pro OpenAI	$149.367750 (rounded ~ $149.37)	↑ 320.1% more	↑ 162.6% more

🏆

Mistral Small 3
Mistral AI

$0.711025 (rounded ~ $0.71)

vs Claude Opus 4.7: ↓ 98%

vs Gemini 3.1 Pro: ↓ 98.8%

🥈

Gemini 3.1 Flash Lite
Google

$1.777938 (rounded ~ $1.78)

vs Claude Opus 4.7: ↓ 95%

vs Gemini 3.1 Pro: ↓ 96.9%

🥉

Gemini 2.5 Flash
Google

$2.133875 (rounded ~ $2.13)

vs Claude Opus 4.7: ↓ 94%

vs Gemini 3.1 Pro: ↓ 96.2%

Mistral Large 3
Mistral AI

$3.555375 (rounded ~ $3.56)

vs Claude Opus 4.7: ↓ 90%

vs Gemini 3.1 Pro: ↓ 93.8%

GPT-5.4 mini
OpenAI

$5.333813 (rounded ~ $5.33)

vs Claude Opus 4.7: ↓ 85%

vs Gemini 3.1 Pro: ↓ 90.6%

o4-mini Deep Research
OpenAI

$7.110750

vs Claude Opus 4.7: ↓ 80%

vs Gemini 3.1 Pro: ↓ 87.5%

Claude Haiku 4.5
Anthropic

$7.111250 (rounded ~ $7.11)

vs Claude Opus 4.7: ↓ 80%

vs Gemini 3.1 Pro: ↓ 87.5%

o4-mini
OpenAI

$7.821825 (rounded ~ $7.82)

vs Claude Opus 4.7: ↓ 78%

vs Gemini 3.1 Pro: ↓ 86.3%

Grok 4.3
xAI

$8.887188 (rounded ~ $8.89)

vs Claude Opus 4.7: ↓ 75%

vs Gemini 3.1 Pro: ↓ 84.4%

#10

Gemini 3.5 Flash
Google

$10.667625 (rounded ~ $10.67)

vs Claude Opus 4.7: ↓ 70%

vs Gemini 3.1 Pro: ↓ 81.2%

#11

GPT-5.3 Codex Spark
OpenAI

$12.447313 (rounded ~ $12.45)

vs Claude Opus 4.7: ↓ 65%

vs Gemini 3.1 Pro: ↓ 78.1%

#12

GPT-5.3 Instant
OpenAI

$12.447313 (rounded ~ $12.45)

vs Claude Opus 4.7: ↓ 65%

vs Gemini 3.1 Pro: ↓ 78.1%

#13

Gemini 3.1 Flash
Google

$14.223500 (rounded ~ $14.22)

vs Claude Opus 4.7: ↓ 60%

vs Gemini 3.1 Pro: ↓ 75%

#14

Claude Sonnet 4.6
Anthropic

$21.333750 (rounded ~ $21.33)

vs Claude Opus 4.7: ↓ 40%

vs Gemini 3.1 Pro: ↓ 62.5%

#15

Claude Opus 4.8
Anthropic

$35.556250 (rounded ~ $35.56)

vs Claude Opus 4.7: Same

vs Gemini 3.1 Pro: ↓ 37.5%

#16

Claude Opus 4.6
Anthropic

$35.556250 (rounded ~ $35.56)

vs Claude Opus 4.7: Same

vs Gemini 3.1 Pro: ↓ 37.5%

#17

Gemini 2.5 Pro
Google

$35.558750 (rounded ~ $35.56)

vs Claude Opus 4.7: Same

vs Gemini 3.1 Pro: ↓ 37.5%

#18

GPT-5.5 Instant
OpenAI

$35.558750 (rounded ~ $35.56)

vs Claude Opus 4.7: Same

vs Gemini 3.1 Pro: ↓ 37.5%

#19

Gemini 3.1 Pro
Google

$56.888000 (rounded ~ $56.89)

vs Claude Opus 4.7: ↑ 60%

vs Gemini 3.1 Pro: Same

#20

o3 Deep Research
OpenAI

$71.107500 (rounded ~ $71.11)

vs Claude Opus 4.7: ↑ 100%

vs Gemini 3.1 Pro: ↑ 25%

#21

GPT-5.4
OpenAI

$71.110000

vs Claude Opus 4.7: ↑ 100%

vs Gemini 3.1 Pro: ↑ 25%

#22

GPT-5.4 Thinking
OpenAI

$71.110000

vs Claude Opus 4.7: ↑ 100%

vs Gemini 3.1 Pro: ↑ 25%

#23

o3 Pro
OpenAI

$142.215000 (rounded ~ $142.22)

vs Claude Opus 4.7: ↑ 300%

vs Gemini 3.1 Pro: ↑ 150%

#24

GPT-5.5
OpenAI

$142.220000

vs Claude Opus 4.7: ↑ 300%

vs Gemini 3.1 Pro: ↑ 150%

#25

GPT-5.2 Pro
OpenAI

$149.367750 (rounded ~ $149.37)

vs Claude Opus 4.7: ↑ 320.1%

vs Gemini 3.1 Pro: ↑ 162.6%

#26

GPT-5.2 Pro
OpenAI

$149.367750 (rounded ~ $149.37)

vs Claude Opus 4.7: ↑ 320.1%

vs Gemini 3.1 Pro: ↑ 162.6%

✨ 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.

Enterprise Image Analysis: Claude Opus 4.7 vs. Gemini 3.1 Pro

For educational content creators producing AI-assisted curricula, choosing between leading multimodal models for analyzing product photos is crucial. Claude Opus 4.7 and Gemini 3.1 Pro both offer advanced vision capabilities, essential for understanding intricate product details that inform image variation generation. Claude Opus 4.7 excels with its enhanced high-resolution image support, allowing for more precise interpretation of fine details in complex visual inputs. This makes it ideal for tasks requiring deep inspection of visual data.

Gemini 3.1 Pro, on the other hand, boasts broader multimodal ingestion, seamlessly handling text, audio, video, and images, making it a versatile choice for integrated workflows. While both models offer extensive context windows suitable for enterprise-scale processing, differences in their specific visual reasoning strengths and ecosystem integration may sway your decision. Evaluating which model better captures the nuance of your product imagery will directly impact the quality and consistency of subsequent AI-generated variations.

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.

Claude Opus 4.7 vs Gemini 3.1 Pro for 100K Image Analysis at Enterprise Scale

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Claude Opus 4.7

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

Claude Opus 4.7 Anthropic 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

Gemini 3.1 Pro Google 2000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

Mistral Small 3 Mistral AI

Gemini 3.1 Flash Lite Google

Gemini 2.5 Flash Google

Mistral Large 3 Mistral AI

GPT-5.4 mini OpenAI

o4-mini Deep Research OpenAI

Claude Haiku 4.5 Anthropic

o4-mini OpenAI

Grok 4.3 xAI

Gemini 3.5 Flash Google

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Gemini 3.1 Flash Google

Claude Sonnet 4.6 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

Gemini 2.5 Pro Google

GPT-5.5 Instant OpenAI

Gemini 3.1 Pro Google

o3 Deep Research OpenAI

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

o3 Pro OpenAI

GPT-5.5 OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Enterprise Image Analysis: Claude Opus 4.7 vs. Gemini 3.1 Pro

Frequently Asked Questions

Mistral Small 3
Mistral AI

Gemini 3.1 Flash Lite
Google

Gemini 2.5 Flash
Google

Mistral Large 3
Mistral AI

GPT-5.4 mini
OpenAI

o4-mini Deep Research
OpenAI

Claude Haiku 4.5
Anthropic

o4-mini
OpenAI

Grok 4.3
xAI

Gemini 3.5 Flash
Google

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

Gemini 3.1 Flash
Google

Claude Sonnet 4.6
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

Gemini 2.5 Pro
Google

GPT-5.5 Instant
OpenAI

Gemini 3.1 Pro
Google

o3 Deep Research
OpenAI

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

o3 Pro
OpenAI

GPT-5.5
OpenAI

GPT-5.2 Pro
OpenAI

GPT-5.2 Pro
OpenAI