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: 1000 images at medium resolution = 170,000 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 10% 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 GPT-5.4: 1,000-Invoice Extraction Benchmarks

Name: GPT-5.4
Brand: OpenAI
Price: 2.34 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Claude Opus 4.7 has been replaced by Claude Opus 5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 Opus 5 pricing → · All recent pricing changes

Claude Opus 4.7 vs GPT-5.4

Complete Comparison: 500,000 input tokens × 2,500 output tokens

🖼️ 1000 Images ⚡ 10% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1000 Images, 10% Cached.

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

Comparison Criteria	Claude Opus 4.7 Anthropic	GPT-5.4 OpenAI
Calculation Results (Current Inputs) (1000 images, 10% cached)
Input Tokens	500,000	500,000
Output Tokens	2,500	2,500
Cost Breakdown
Input Cost	$1.270000Best	$2.540000Worst
Output Cost	$0.015625 (rounded ~ $0.02)Best	$0.028125 (rounded ~ $0.03)Worst
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$1.171325 (rounded ~ $1.17) Best Value	$2.339525 Most Expensive
Processing Time	1 hour, 5 minutes, 56.66 seconds Slowest	40 minutes, 49.43 seconds Fastest
Tokens per Second	260Slowest	420Fastest
Time to First Token	400ms Worst	210ms Best
Cost per 1K tokens	$0.001150Best	$0.002297Worst
Tokens per Dollar	869,528Best Value	435,345Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$1.250000Best	$2.500000Worst
Output Cost / 1M (Base)	$6.250000Best	$11.250000Worst
Input Cost / 1M (Optimized)	$0.625000 (rounded ~ $0.63)Best Optimizations: 50.0% batch	$1.250000Worst Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$3.125000 (rounded ~ $3.13)Best Optimizations: 50.0% batch	$5.625000 (rounded ~ $5.63)Worst Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support 1000	✓ Supported	✓ Supported
Caching Support 10	✓ 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

$1.171325 (rounded ~ $1.17)

Total Cost

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

🖼️ 1000 Image (Medium) ⚡ 10% 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) $1.285625 (rounded ~ $1.29) Input: $1.270000
Output: $0.015625 (rounded ~ $0.02)

Optimized Cost $1.171325 (rounded ~ $1.17) Input: $1.270000
Output: $0.015625 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.114300 (rounded ~ $0.11) 8.9% 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 500,000 input tokens and 2,500 output tokens:

Input Cost: $1.270000
Output Cost: $0.015625 (rounded ~ $0.02)
Total Cost: $1.171325 (rounded ~ $1.17)
Cost per 1K tokens: $0.001150
Tokens per dollar: 869,528 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: 1 hour, 5 minutes, 56.66 seconds
Latency: 400 milliseconds to first token
Base Throughput: 260 tokens/second
Effective Throughput: 257 tokens/second (temperature-adjusted)

Best Use Cases

Complexhigh-stakes medical document processing requiring reasoningmultimodal understandingand reliable audit trails.

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 →

GPT-5.4 OpenAI 1024000 🏔️ Context Cliff

$2.339525

Total Cost

🖼️ 1000 Image (Medium) ⚡ 10% 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) $2.568125 (rounded ~ $2.57) Input: $2.540000
Output: $0.028125 (rounded ~ $0.03)

Optimized Cost $2.339525 Input: $2.540000
Output: $0.028125 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.228600 (rounded ~ $0.23) 8.9% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input

$0.000000

516,000 tokens

📊 Batch API

50.0% off

Asynchronous processing discount

🏔️ Context Cliff

Premium Tier

>272,000 tokens triggered premium pricing

📊 Cliff Pricing

Premium

premium pricing (threshold: 272,000)

Multimodal Input Details

🖼️ Images

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

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 2,500 output tokens:

Input Cost: $2.540000
Output Cost: $0.028125 (rounded ~ $0.03)
Total Cost: $2.339525
Cost per 1K tokens: $0.002297
Tokens per dollar: 435,345 tokens
Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 210ms time to first token:

Processing Time: 40 minutes, 49.43 seconds
Latency: 210 milliseconds to first token
Base Throughput: 420 tokens/second
Effective Throughput: 416 tokens/second (temperature-adjusted)

Best Use Cases

Complexhigh-stakes medical document processing requiring reasoningmultimodal understandingand reliable audit trails.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4. 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: 500,000

Output Tokens: 2,500

Batch API: Enabled (50% discount)

Cached Tokens: 10%

Images: 1000 (Medium Resolution)

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Claude Opus 4.7	vs GPT-5.4
🏆	Gemini 3.1 Flash Lite Google	$0.058723 (rounded ~ $0.06) Best Value	↓ 95% cheaper	↓ 97.5% cheaper
🥈	Gemini 3.5 Flash-Lite Google	$0.070905	↓ 93.9% cheaper	↓ 97% cheaper
🥉	Gemini 2.5 Flash Google	$0.070905	↓ 93.9% cheaper	↓ 97% cheaper
#4	Gemini 3.8 Flash Google	$0.175699 (rounded ~ $0.18)	↓ 85% cheaper	↓ 92.5% cheaper
#5	GPT-5.6 Luna OpenAI	$0.234890 (rounded ~ $0.23)	↓ 79.9% cheaper	↓ 90% cheaper
#6	Gemini 3.6 Flash Google	$0.351398 (rounded ~ $0.35)	↓ 70% cheaper	↓ 85% cheaper
#7	Gemini 3.5 Flash Google	$0.352335 (rounded ~ $0.35)	↓ 69.9% cheaper	↓ 84.9% cheaper
#8	Claude Sonnet 5 Anthropic	$0.468530 (rounded ~ $0.47)	↓ 60% cheaper	↓ 80% cheaper
#9	Gemini 3.1 Flash Google	$0.469780	↓ 59.9% cheaper	↓ 79.9% cheaper
#10	GPT-5.6 Terra OpenAI	$0.587225 (rounded ~ $0.59)	↓ 49.9% cheaper	↓ 74.9% cheaper
#11	Claude Sonnet 4.6 Anthropic	$0.702795 (rounded ~ $0.70)	↓ 40% cheaper	↓ 70% cheaper
#12	Claude Opus 5 Anthropic	$1.171325 (rounded ~ $1.17)	Same price	↓ 49.9% cheaper
#13	Claude Opus 4.8 Anthropic	$1.171325 (rounded ~ $1.17)	Same price	↓ 49.9% cheaper
#14	Claude Opus 4.6 Anthropic	$1.171325 (rounded ~ $1.17)	Same price	↓ 49.9% cheaper
#15	Gemini 2.5 Pro Google	$1.174450 (rounded ~ $1.17)	↑ 0.3% more	↓ 49.8% cheaper
#16	GPT-5.6 Sol OpenAI	$1.174450 (rounded ~ $1.17)	↑ 0.3% more	↓ 49.8% cheaper
#17	Grok 4.3 xAI	$1.859120	↑ 58.7% more	↓ 20.5% cheaper
#18	Gemini 3.1 Pro Google	$1.871620 (rounded ~ $1.87)	↑ 59.8% more	↓ 20% cheaper
#19	Claude Fable 5.1 Anthropic	$2.323600 (rounded ~ $2.32)	↑ 98.4% more	↓ 0.7% cheaper
#20	Claude Mythos 5.1 Anthropic	$2.323600 (rounded ~ $2.32)	↑ 98.4% more	↓ 0.7% cheaper
#21	GPT-5.4 OpenAI	$2.339525	↑ 99.7% more	Same price
#22	GPT-5.4 Thinking OpenAI	$2.339525	↑ 99.7% more	Same price
#23	Claude Fable 5 Anthropic	$2.342650 (rounded ~ $2.34)	↑ 100% more	↑ 0.1% more
#24	Claude Mythos 5 Anthropic	$2.342650 (rounded ~ $2.34)	↑ 100% more	↑ 0.1% more
#25	GPT-5.5 OpenAI	$4.679050	↑ 299.5% more	↑ 100% more
#26	GPT-6 Astra OpenAI	$9.370600	↑ 700% more	↑ 300.5% more
#27	GPT-6 Astra OpenAI	$9.370600	↑ 700% more	↑ 300.5% more

🏆

Gemini 3.1 Flash Lite
Google

$0.058723 (rounded ~ $0.06)

vs Claude Opus 4.7: ↓ 95%

vs GPT-5.4: ↓ 97.5%

🥈

Gemini 3.5 Flash-Lite
Google

$0.070905

vs Claude Opus 4.7: ↓ 93.9%

vs GPT-5.4: ↓ 97%

🥉

Gemini 2.5 Flash
Google

$0.070905

vs Claude Opus 4.7: ↓ 93.9%

vs GPT-5.4: ↓ 97%

Gemini 3.8 Flash
Google

$0.175699 (rounded ~ $0.18)

vs Claude Opus 4.7: ↓ 85%

vs GPT-5.4: ↓ 92.5%

GPT-5.6 Luna
OpenAI

$0.234890 (rounded ~ $0.23)

vs Claude Opus 4.7: ↓ 79.9%

vs GPT-5.4: ↓ 90%

Gemini 3.6 Flash
Google

$0.351398 (rounded ~ $0.35)

vs Claude Opus 4.7: ↓ 70%

vs GPT-5.4: ↓ 85%

Gemini 3.5 Flash
Google

$0.352335 (rounded ~ $0.35)

vs Claude Opus 4.7: ↓ 69.9%

vs GPT-5.4: ↓ 84.9%

Claude Sonnet 5
Anthropic

$0.468530 (rounded ~ $0.47)

vs Claude Opus 4.7: ↓ 60%

vs GPT-5.4: ↓ 80%

Gemini 3.1 Flash
Google

$0.469780

vs Claude Opus 4.7: ↓ 59.9%

vs GPT-5.4: ↓ 79.9%

#10

GPT-5.6 Terra
OpenAI

$0.587225 (rounded ~ $0.59)

vs Claude Opus 4.7: ↓ 49.9%

vs GPT-5.4: ↓ 74.9%

#11

Claude Sonnet 4.6
Anthropic

$0.702795 (rounded ~ $0.70)

vs Claude Opus 4.7: ↓ 40%

vs GPT-5.4: ↓ 70%

#12

Claude Opus 5
Anthropic

$1.171325 (rounded ~ $1.17)

vs Claude Opus 4.7: Same

vs GPT-5.4: ↓ 49.9%

#13

Claude Opus 4.8
Anthropic

$1.171325 (rounded ~ $1.17)

vs Claude Opus 4.7: Same

vs GPT-5.4: ↓ 49.9%

#14

Claude Opus 4.6
Anthropic

$1.171325 (rounded ~ $1.17)

vs Claude Opus 4.7: Same

vs GPT-5.4: ↓ 49.9%

#15

Gemini 2.5 Pro
Google

$1.174450 (rounded ~ $1.17)

vs Claude Opus 4.7: ↑ 0.3%

vs GPT-5.4: ↓ 49.8%

#16

GPT-5.6 Sol
OpenAI

$1.174450 (rounded ~ $1.17)

vs Claude Opus 4.7: ↑ 0.3%

vs GPT-5.4: ↓ 49.8%

#17

Grok 4.3
xAI

$1.859120

vs Claude Opus 4.7: ↑ 58.7%

vs GPT-5.4: ↓ 20.5%

#18

Gemini 3.1 Pro
Google

$1.871620 (rounded ~ $1.87)

vs Claude Opus 4.7: ↑ 59.8%

vs GPT-5.4: ↓ 20%

#19

Claude Fable 5.1
Anthropic

$2.323600 (rounded ~ $2.32)

vs Claude Opus 4.7: ↑ 98.4%

vs GPT-5.4: ↓ 0.7%

#20

Claude Mythos 5.1
Anthropic

$2.323600 (rounded ~ $2.32)

vs Claude Opus 4.7: ↑ 98.4%

vs GPT-5.4: ↓ 0.7%

#21

GPT-5.4
OpenAI

$2.339525

vs Claude Opus 4.7: ↑ 99.7%

vs GPT-5.4: Same

#22

GPT-5.4 Thinking
OpenAI

$2.339525

vs Claude Opus 4.7: ↑ 99.7%

vs GPT-5.4: Same

#23

Claude Fable 5
Anthropic

$2.342650 (rounded ~ $2.34)

vs Claude Opus 4.7: ↑ 100%

vs GPT-5.4: ↑ 0.1%

#24

Claude Mythos 5
Anthropic

$2.342650 (rounded ~ $2.34)

vs Claude Opus 4.7: ↑ 100%

vs GPT-5.4: ↑ 0.1%

#25

GPT-5.5
OpenAI

$4.679050

vs Claude Opus 4.7: ↑ 299.5%

vs GPT-5.4: ↑ 100%

#26

GPT-6 Astra
OpenAI

$9.370600

vs Claude Opus 4.7: ↑ 700%

vs GPT-5.4: ↑ 300.5%

#27

GPT-6 Astra
OpenAI

$9.370600

vs Claude Opus 4.7: ↑ 700%

vs GPT-5.4: ↑ 300.5%

✨ 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.

High-Precision Extraction for Clinical Administration

For healthcare administrators, the challenge with extracting data from 1,000 invoice PDFs lies in the variance of document formats and the necessity for extreme accuracy. Both Claude Opus 4.7 and GPT-5.4 represent the current frontier for intelligent document processing, but they offer distinct advantages depending on your specific administrative architecture.

Claude Opus 4.7: The Reasoning Specialist

Complex Logic: Excels at interpreting ambiguous billing codes or non-standard provider notes that require contextual understanding rather than simple string matching.
Audit Trail Integrity: Provides highly stable, predictable outputs, which is vital for maintaining verifiable audit trails in clinical settings.

GPT-5.4: The Versatile Multimodal Engine

Vision Robustness: Demonstrates superior handling of low-quality scans or complex, multi-column invoice layouts often encountered in legacy healthcare billing.
Agentic Integration: If the extraction is part of a larger, agentic workflow—such as automatically triggering payment or flagging discrepancies for human review—the model’s native reasoning and tool-use capabilities are highly effective.

Choosing between these two models requires a trade-off analysis. If your primary goal is the extraction of highly heterogeneous data requiring nuance, Claude’s architecture provides a more refined, logical approach. Conversely, if your pipeline involves pre-processing noisy, real-world document scans, the vision robustness of the OpenAI architecture often proves more resilient in production environments.

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 GPT-5.4: 1,000-Invoice Extraction Benchmarks

🔄 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?

GPT-5.4 OpenAI 1024000 🏔️ Context Cliff

💰 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

Gemini 3.1 Flash Lite Google

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

Gemini 3.8 Flash Google

GPT-5.6 Luna OpenAI

Gemini 3.6 Flash Google

Gemini 3.5 Flash Google

Claude Sonnet 5 Anthropic

Gemini 3.1 Flash Google

GPT-5.6 Terra OpenAI

Claude Sonnet 4.6 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

Gemini 2.5 Pro Google

GPT-5.6 Sol OpenAI

Grok 4.3 xAI

Gemini 3.1 Pro Google

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

GPT-6 Astra OpenAI

GPT-6 Astra OpenAI

High-Precision Extraction for Clinical Administration

Frequently Asked Questions

Related model pricing

Compare across providers

Other models from the same provider

Gemini 3.1 Flash Lite
Google

Gemini 3.5 Flash-Lite
Google

Gemini 2.5 Flash
Google

Gemini 3.8 Flash
Google

GPT-5.6 Luna
OpenAI

Gemini 3.6 Flash
Google

Gemini 3.5 Flash
Google

Claude Sonnet 5
Anthropic

Gemini 3.1 Flash
Google

GPT-5.6 Terra
OpenAI

Claude Sonnet 4.6
Anthropic

Claude Opus 5
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

Gemini 2.5 Pro
Google

GPT-5.6 Sol
OpenAI

Grok 4.3
xAI

Gemini 3.1 Pro
Google

Claude Fable 5.1
Anthropic

Claude Mythos 5.1
Anthropic

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

Claude Fable 5
Anthropic

Claude Mythos 5
Anthropic

GPT-5.5
OpenAI

GPT-6 Astra
OpenAI

GPT-6 Astra
OpenAI