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 GPT-5.4 Thinking: Code Review Cost for 100k-Token Diffs (50M Monthly)

Name: GPT-5.4 Thinking
Brand: OpenAI
Price: 0.08 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Claude Opus 4.7 vs GPT-5.4 Thinking

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

⚡ 50% Cached

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

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

Comparison Criteria	Claude Opus 4.7 Anthropic	GPT-5.4 Thinking OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens	100,000	100,000
Output Tokens	2,000	2,000
Cost Breakdown
Input Cost	$0.125000 (rounded ~ $0.13)	$0.125000 (rounded ~ $0.13)
Output Cost	$0.012500 (rounded ~ $0.01)Best	$0.015000 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.081250 (rounded ~ $0.08) Best Value	$0.083750 (rounded ~ $0.08) Most Expensive
Processing Time	6 minutes, 59.95 seconds Slowest	4 minutes, 33.03 seconds Fastest
Tokens per Second	260Slowest	400Fastest
Time to First Token	400ms Worst	220ms Best
Cost per 1K tokens	$0.000797Best	$0.000821Worst
Tokens per Dollar	1,255,385Best Value	1,217,910Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$1.250000	$1.250000
Output Cost / 1M (Base)	$6.250000Best	$7.500000Worst
Input Cost / 1M (Optimized)	$0.625000 (rounded ~ $0.63) Optimizations: 50.0% batch	$0.625000 (rounded ~ $0.63) Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$3.125000 (rounded ~ $3.13)Best Optimizations: 50.0% batch	$3.750000Worst Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support	✓ 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

$0.081250 (rounded ~ $0.08)

Total Cost

⚡ 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) $0.137500 (rounded ~ $0.14) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)

Optimized Cost $0.081250 (rounded ~ $0.08) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.056250 (rounded ~ $0.06) 40.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

Input Cost: $0.125000 (rounded ~ $0.13)
Output Cost: $0.012500 (rounded ~ $0.01)
Total Cost: $0.081250 (rounded ~ $0.08)
Cost per 1K tokens: $0.000797
Tokens per dollar: 1,255,385 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: 6 minutes, 59.95 seconds
Latency: 400 milliseconds to first token
Base Throughput: 260 tokens/second
Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Code review assistant for high-complexity healthcare applications requiring audit-ready logical consistency.

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 Thinking OpenAI 1024000

$0.083750 (rounded ~ $0.08)

Total Cost

⚡ 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) $0.140000 Input: $0.125000 (rounded ~ $0.13)
Output: $0.015000 (rounded ~ $0.02)

Optimized Cost $0.083750 (rounded ~ $0.08) Input: $0.125000 (rounded ~ $0.13)
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.056250 (rounded ~ $0.06) 40.2% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

📊 Cliff Pricing

Standard

standard pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

Input Cost: $0.125000 (rounded ~ $0.13)
Output Cost: $0.015000 (rounded ~ $0.02)
Total Cost: $0.083750 (rounded ~ $0.08)
Cost per 1K tokens: $0.000821
Tokens per dollar: 1,217,910 tokens
Context Window: 1024000 tokens

Speed & Performance Analysis

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

Processing Time: 4 minutes, 33.03 seconds
Latency: 220 milliseconds to first token
Base Throughput: 400 tokens/second
Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Code review assistant for high-complexity healthcare applications requiring audit-ready logical consistency.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 Thinking. 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%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Claude Opus 4.7	vs GPT-5.4 Thinking
🏆	Mistral Small 3 Mistral AI	$0.001525 Best Value	↓ 98.1% cheaper	↓ 98.2% cheaper
🥈	Gemini 3.1 Flash Lite Google	$0.004188	↓ 94.8% cheaper	↓ 95% cheaper
🥉	Gemini 3.5 Flash-Lite Google	$0.005375 (rounded ~ $0.01)	↓ 93.4% cheaper	↓ 93.6% cheaper
#4	Gemini 2.5 Flash Google	$0.005375 (rounded ~ $0.01)	↓ 93.4% cheaper	↓ 93.6% cheaper
#5	Mistral Large 3 Mistral AI	$0.007625 (rounded ~ $0.01)	↓ 90.6% cheaper	↓ 90.9% cheaper
#6	Gemini 3.8 Flash Google	$0.012188 (rounded ~ $0.01)	↓ 85% cheaper	↓ 85.4% cheaper
#7	GPT-5.4 mini OpenAI	$0.012563 (rounded ~ $0.01)	↓ 84.5% cheaper	↓ 85% cheaper
#8	o4-mini Deep Research OpenAI	$0.015750 (rounded ~ $0.02)	↓ 80.6% cheaper	↓ 81.2% cheaper
#9	Claude Haiku 4.5 Anthropic	$0.016250 (rounded ~ $0.02)	↓ 80% cheaper	↓ 80.6% cheaper
#10	Gemini 3.1 Flash Google	$0.016750 (rounded ~ $0.02)	↓ 79.4% cheaper	↓ 80% cheaper
#11	GPT-5.6 Luna OpenAI	$0.016750 (rounded ~ $0.02)	↓ 79.4% cheaper	↓ 80% cheaper
#12	o4-mini OpenAI	$0.017325 (rounded ~ $0.02)	↓ 78.7% cheaper	↓ 79.3% cheaper
#13	Gemini 3.6 Flash Google	$0.024375 (rounded ~ $0.02)	↓ 70% cheaper	↓ 70.9% cheaper
#14	Gemini 3.5 Flash Google	$0.025125 (rounded ~ $0.03)	↓ 69.1% cheaper	↓ 70% cheaper
#15	GPT-5.3 Codex Spark OpenAI	$0.031063 (rounded ~ $0.03)	↓ 61.8% cheaper	↓ 62.9% cheaper
#16	GPT-5.3 Instant OpenAI	$0.031063 (rounded ~ $0.03)	↓ 61.8% cheaper	↓ 62.9% cheaper
#17	Claude Sonnet 5 Anthropic	$0.032500 (rounded ~ $0.03)	↓ 60% cheaper	↓ 61.2% cheaper
#18	GPT-5.6 Terra OpenAI	$0.041875 (rounded ~ $0.04)	↓ 48.5% cheaper	↓ 50% cheaper
#19	Gemini 2.5 Pro Google	$0.044375 (rounded ~ $0.04)	↓ 45.4% cheaper	↓ 47% cheaper
#20	Claude Sonnet 4.6 Anthropic	$0.048750 (rounded ~ $0.05)	↓ 40% cheaper	↓ 41.8% cheaper
#21	Grok 4.3 xAI	$0.059000 (rounded ~ $0.06)	↓ 27.4% cheaper	↓ 29.6% cheaper
#22	Grok 4.20 Beta xAI	$0.059000 (rounded ~ $0.06)	↓ 27.4% cheaper	↓ 29.6% cheaper
#23	Gemini 3.1 Pro Google	$0.067000 (rounded ~ $0.07)	↓ 17.5% cheaper	↓ 20% cheaper
#24	Claude Opus 5 Anthropic	$0.081250 (rounded ~ $0.08)	Same price	↓ 3% cheaper
#25	Claude Opus 4.8 Anthropic	$0.081250 (rounded ~ $0.08)	Same price	↓ 3% cheaper
#26	Claude Opus 4.6 Anthropic	$0.081250 (rounded ~ $0.08)	Same price	↓ 3% cheaper
#27	GPT-5.4 OpenAI	$0.083750 (rounded ~ $0.08)	↑ 3.1% more	Same price
#28	GPT-5.4 Thinking OpenAI	$0.083750 (rounded ~ $0.08)	↑ 3.1% more	Same price
#29	GPT-5.5 Instant OpenAI	$0.083750 (rounded ~ $0.08)	↑ 3.1% more	Same price
#30	GPT-5.6 Sol OpenAI	$0.083750 (rounded ~ $0.08)	↑ 3.1% more	Same price
#31	Claude Fable 5.1 Anthropic	$0.153125 (rounded ~ $0.15)	↑ 88.5% more	↑ 82.8% more
#32	Claude Mythos 5.1 Anthropic	$0.153125 (rounded ~ $0.15)	↑ 88.5% more	↑ 82.8% more
#33	o3 Deep Research OpenAI	$0.157500 (rounded ~ $0.16)	↑ 93.8% more	↑ 88.1% more
#34	Claude Fable 5 Anthropic	$0.162500 (rounded ~ $0.16)	↑ 100% more	↑ 94% more
#35	Claude Mythos 5 Anthropic	$0.162500 (rounded ~ $0.16)	↑ 100% more	↑ 94% more
#36	GPT-5.5 OpenAI	$0.167500 (rounded ~ $0.17)	↑ 106.2% more	↑ 100% more
#37	o3 Pro OpenAI	$0.315000 (rounded ~ $0.32)	↑ 287.7% more	↑ 276.1% more
#38	GPT-6 Astra OpenAI	$0.325000 (rounded ~ $0.33)	↑ 300% more	↑ 288.1% more
#39	GPT-5.2 Pro OpenAI	$0.372750 (rounded ~ $0.37)	↑ 358.8% more	↑ 345.1% more
#40	GPT-5.2 Pro OpenAI	$0.372750 (rounded ~ $0.37)	↑ 358.8% more	↑ 345.1% more

🏆

Mistral Small 3
Mistral AI

$0.001525

vs Claude Opus 4.7: ↓ 98.1%

vs GPT-5.4 Thinking: ↓ 98.2%

🥈

Gemini 3.1 Flash Lite
Google

$0.004188

vs Claude Opus 4.7: ↓ 94.8%

vs GPT-5.4 Thinking: ↓ 95%

🥉

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 93.4%

vs GPT-5.4 Thinking: ↓ 93.6%

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 93.4%

vs GPT-5.4 Thinking: ↓ 93.6%

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 90.6%

vs GPT-5.4 Thinking: ↓ 90.9%

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 85%

vs GPT-5.4 Thinking: ↓ 85.4%

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 84.5%

vs GPT-5.4 Thinking: ↓ 85%

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 80.6%

vs GPT-5.4 Thinking: ↓ 81.2%

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 80%

vs GPT-5.4 Thinking: ↓ 80.6%

#10

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 79.4%

vs GPT-5.4 Thinking: ↓ 80%

#11

GPT-5.6 Luna
OpenAI

$0.016750 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 79.4%

vs GPT-5.4 Thinking: ↓ 80%

#12

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 78.7%

vs GPT-5.4 Thinking: ↓ 79.3%

#13

Gemini 3.6 Flash
Google

$0.024375 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 70%

vs GPT-5.4 Thinking: ↓ 70.9%

#14

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)

vs Claude Opus 4.7: ↓ 69.1%

vs GPT-5.4 Thinking: ↓ 70%

#15

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)

vs Claude Opus 4.7: ↓ 61.8%

vs GPT-5.4 Thinking: ↓ 62.9%

#16

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)

vs Claude Opus 4.7: ↓ 61.8%

vs GPT-5.4 Thinking: ↓ 62.9%

#17

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)

vs Claude Opus 4.7: ↓ 60%

vs GPT-5.4 Thinking: ↓ 61.2%

#18

GPT-5.6 Terra
OpenAI

$0.041875 (rounded ~ $0.04)

vs Claude Opus 4.7: ↓ 48.5%

vs GPT-5.4 Thinking: ↓ 50%

#19

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)

vs Claude Opus 4.7: ↓ 45.4%

vs GPT-5.4 Thinking: ↓ 47%

#20

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)

vs Claude Opus 4.7: ↓ 40%

vs GPT-5.4 Thinking: ↓ 41.8%

#21

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)

vs Claude Opus 4.7: ↓ 27.4%

vs GPT-5.4 Thinking: ↓ 29.6%

#22

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)

vs Claude Opus 4.7: ↓ 27.4%

vs GPT-5.4 Thinking: ↓ 29.6%

#23

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)

vs Claude Opus 4.7: ↓ 17.5%

vs GPT-5.4 Thinking: ↓ 20%

#24

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)

vs Claude Opus 4.7: Same

vs GPT-5.4 Thinking: ↓ 3%

#25

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)

vs Claude Opus 4.7: Same

vs GPT-5.4 Thinking: ↓ 3%

#26

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)

vs Claude Opus 4.7: Same

vs GPT-5.4 Thinking: ↓ 3%

#27

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)

vs Claude Opus 4.7: ↑ 3.1%

vs GPT-5.4 Thinking: Same

#28

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)

vs Claude Opus 4.7: ↑ 3.1%

vs GPT-5.4 Thinking: Same

#29

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)

vs Claude Opus 4.7: ↑ 3.1%

vs GPT-5.4 Thinking: Same

#30

GPT-5.6 Sol
OpenAI

$0.083750 (rounded ~ $0.08)

vs Claude Opus 4.7: ↑ 3.1%

vs GPT-5.4 Thinking: Same

#31

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)

vs Claude Opus 4.7: ↑ 88.5%

vs GPT-5.4 Thinking: ↑ 82.8%

#32

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)

vs Claude Opus 4.7: ↑ 88.5%

vs GPT-5.4 Thinking: ↑ 82.8%

#33

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)

vs Claude Opus 4.7: ↑ 93.8%

vs GPT-5.4 Thinking: ↑ 88.1%

#34

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)

vs Claude Opus 4.7: ↑ 100%

vs GPT-5.4 Thinking: ↑ 94%

#35

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)

vs Claude Opus 4.7: ↑ 100%

vs GPT-5.4 Thinking: ↑ 94%

#36

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)

vs Claude Opus 4.7: ↑ 106.2%

vs GPT-5.4 Thinking: ↑ 100%

#37

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)

vs Claude Opus 4.7: ↑ 287.7%

vs GPT-5.4 Thinking: ↑ 276.1%

#38

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)

vs Claude Opus 4.7: ↑ 300%

vs GPT-5.4 Thinking: ↑ 288.1%

#39

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)

vs Claude Opus 4.7: ↑ 358.8%

vs GPT-5.4 Thinking: ↑ 345.1%

#40

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)

vs Claude Opus 4.7: ↑ 358.8%

vs GPT-5.4 Thinking: ↑ 345.1%

✨ 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.

Optimizing Code Review Workflows in Healthcare

For healthcare administrators and engineering leaders, the decision between Claude Opus 4.7 and GPT-5.4 Thinking for a code review assistant hinges on the nature of the codebase and the specific requirements for reasoning and auditability. At a scale of 50 million tokens per month, small differences in model behavior ripple into significant operational outcomes.

Claude Opus 4.7 has gained traction for its ability to handle long-running, multi-step logical workflows. Its self-verification capabilities are particularly valuable when the code review assistant needs to maintain consistency across large repositories or interpret complex business logic where errors could impact patient data handling. If your team prioritizes deep, self-correcting logic and can benefit from its refined approach to instruction following, it often proves more reliable for identifying subtle architectural flaws.

GPT-5.4 Thinking, conversely, excels in rapid, high-intensity logical processing. Its architectural design is often favored for clear, concise output styles that integrate well into standard DevOps pipelines. Teams that require high-speed throughput and clear, actionable feedback on syntactic issues, style violations, and standard security vulnerabilities often find its performance profile compelling. The choice between these two should be driven by the specific bottleneck in your review process—whether it is the need for deep, reasoning-heavy analysis of complex modules or the demand for high-volume, standard defect detection.

Both models support robust tool integration, which is essential for maintaining the audit trails required for HIPAA compliance. When scaling to 50M tokens monthly, leveraging the right model for specific review tiers—routing routine checks to faster, lighter models and reserving these frontier models for complex architectural audits—remains the most effective strategy for managing both cost and quality.

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 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 Thinking: Code Review Cost for 100k-Token Diffs (50M Monthly)

🔄 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)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

GPT-5.4 Thinking OpenAI 1024000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

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 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

Mistral Large 3 Mistral AI

Gemini 3.8 Flash Google

GPT-5.4 mini OpenAI

o4-mini Deep Research OpenAI

Claude Haiku 4.5 Anthropic

Gemini 3.1 Flash Google

GPT-5.6 Luna OpenAI

o4-mini OpenAI

Gemini 3.6 Flash Google

Gemini 3.5 Flash Google

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Claude Sonnet 5 Anthropic

GPT-5.6 Terra OpenAI

Gemini 2.5 Pro Google

Claude Sonnet 4.6 Anthropic

Grok 4.3 xAI

Grok 4.20 Beta xAI

Gemini 3.1 Pro Google

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

GPT-5.5 Instant OpenAI

GPT-5.6 Sol OpenAI

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

o3 Deep Research OpenAI

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

o3 Pro OpenAI

GPT-6 Astra OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Optimizing Code Review Workflows in Healthcare

Frequently Asked Questions

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