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. OpenAI 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.

Enterprise Code Review: 100,000-Token PR Diffs at 100M Monthly Scale with GPT-5.4 Thinking vs Claude Opus 4.7

Name: Claude Opus 4.7
Brand: Anthropic
Price: 0.08 USD
Availability: InStock
Rating: 4.5 (89 reviews)

GPT-5.4 Thinking vs Claude Opus 4.7

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	GPT-5.4 Thinking OpenAI	Claude Opus 4.7 Anthropic
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	$0.015000 (rounded ~ $0.02)Worst	$0.012500 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.083750 (rounded ~ $0.08) Most Expensive	$0.081250 (rounded ~ $0.08) Best Value
Processing Time	4 minutes, 20.28 seconds Fastest	6 minutes, 40.33 seconds Slowest
Tokens per Second	400Fastest	260Slowest
Time to First Token	220ms Best	400ms Worst
Cost per 1K tokens	$0.000821Worst	$0.000797Best
Tokens per Dollar	1,217,910Worst Value	1,255,385Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$1.250000	$1.250000
Output Cost / 1M (Base)	$7.500000Worst	$6.250000Best
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)	$3.750000Worst Optimizations: 50.0% batch	$3.125000 (rounded ~ $3.13)Best 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.

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, 20.28 seconds
Latency: 220 milliseconds to first token
Base Throughput: 400 tokens/second
Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Use GPT-5.4 Thinking for complex logic validation in large-scale PRs; use Claude Opus 4.7 for maintaining code style and developer communication standards.

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 →

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, 40.33 seconds
Latency: 400 milliseconds to first token
Base Throughput: 260 tokens/second
Effective Throughput: 255 tokens/second (temperature-adjusted)

Best Use Cases

Use GPT-5.4 Thinking for complex logic validation in large-scale PRs; use Claude Opus 4.7 for maintaining code style and developer communication standards.

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 →

✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 Thinking

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

🏆

Mistral Small 3
Mistral AI

$0.001525

vs GPT-5.4 Thinking: ↓ 98.2%

vs Claude Opus 4.7: ↓ 98.1%

🥈

Gemini 3.1 Flash Lite
Google

$0.004188

vs GPT-5.4 Thinking: ↓ 95%

vs Claude Opus 4.7: ↓ 94.8%

🥉

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)

vs GPT-5.4 Thinking: ↓ 93.6%

vs Claude Opus 4.7: ↓ 93.4%

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)

vs GPT-5.4 Thinking: ↓ 93.6%

vs Claude Opus 4.7: ↓ 93.4%

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)

vs GPT-5.4 Thinking: ↓ 90.9%

vs Claude Opus 4.7: ↓ 90.6%

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)

vs GPT-5.4 Thinking: ↓ 85.4%

vs Claude Opus 4.7: ↓ 85%

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)

vs GPT-5.4 Thinking: ↓ 85%

vs Claude Opus 4.7: ↓ 84.5%

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)

vs GPT-5.4 Thinking: ↓ 81.2%

vs Claude Opus 4.7: ↓ 80.6%

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)

vs GPT-5.4 Thinking: ↓ 80.6%

vs Claude Opus 4.7: ↓ 80%

#10

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)

vs GPT-5.4 Thinking: ↓ 80%

vs Claude Opus 4.7: ↓ 79.4%

#11

GPT-5.6 Luna
OpenAI

$0.016750 (rounded ~ $0.02)

vs GPT-5.4 Thinking: ↓ 80%

vs Claude Opus 4.7: ↓ 79.4%

#12

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)

vs GPT-5.4 Thinking: ↓ 79.3%

vs Claude Opus 4.7: ↓ 78.7%

#13

Gemini 3.6 Flash
Google

$0.024375 (rounded ~ $0.02)

vs GPT-5.4 Thinking: ↓ 70.9%

vs Claude Opus 4.7: ↓ 70%

#14

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)

vs GPT-5.4 Thinking: ↓ 70%

vs Claude Opus 4.7: ↓ 69.1%

#15

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)

vs GPT-5.4 Thinking: ↓ 62.9%

vs Claude Opus 4.7: ↓ 61.8%

#16

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)

vs GPT-5.4 Thinking: ↓ 62.9%

vs Claude Opus 4.7: ↓ 61.8%

#17

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)

vs GPT-5.4 Thinking: ↓ 61.2%

vs Claude Opus 4.7: ↓ 60%

#18

GPT-5.6 Terra
OpenAI

$0.041875 (rounded ~ $0.04)

vs GPT-5.4 Thinking: ↓ 50%

vs Claude Opus 4.7: ↓ 48.5%

#19

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)

vs GPT-5.4 Thinking: ↓ 47%

vs Claude Opus 4.7: ↓ 45.4%

#20

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)

vs GPT-5.4 Thinking: ↓ 41.8%

vs Claude Opus 4.7: ↓ 40%

#21

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)

vs GPT-5.4 Thinking: ↓ 29.6%

vs Claude Opus 4.7: ↓ 27.4%

#22

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)

vs GPT-5.4 Thinking: ↓ 29.6%

vs Claude Opus 4.7: ↓ 27.4%

#23

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)

vs GPT-5.4 Thinking: ↓ 20%

vs Claude Opus 4.7: ↓ 17.5%

#24

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)

vs GPT-5.4 Thinking: ↓ 3%

vs Claude Opus 4.7: Same

#25

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)

vs GPT-5.4 Thinking: ↓ 3%

vs Claude Opus 4.7: Same

#26

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)

vs GPT-5.4 Thinking: ↓ 3%

vs Claude Opus 4.7: Same

#27

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)

vs GPT-5.4 Thinking: ↓ 3%

vs Claude Opus 4.7: Same

#28

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)

vs GPT-5.4 Thinking: Same

vs Claude Opus 4.7: ↑ 3.1%

#29

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)

vs GPT-5.4 Thinking: Same

vs Claude Opus 4.7: ↑ 3.1%

#30

GPT-5.6 Sol
OpenAI

$0.083750 (rounded ~ $0.08)

vs GPT-5.4 Thinking: Same

vs Claude Opus 4.7: ↑ 3.1%

#31

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)

vs GPT-5.4 Thinking: ↑ 82.8%

vs Claude Opus 4.7: ↑ 88.5%

#32

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)

vs GPT-5.4 Thinking: ↑ 82.8%

vs Claude Opus 4.7: ↑ 88.5%

#33

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)

vs GPT-5.4 Thinking: ↑ 88.1%

vs Claude Opus 4.7: ↑ 93.8%

#34

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)

vs GPT-5.4 Thinking: ↑ 94%

vs Claude Opus 4.7: ↑ 100%

#35

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)

vs GPT-5.4 Thinking: ↑ 94%

vs Claude Opus 4.7: ↑ 100%

#36

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)

vs GPT-5.4 Thinking: ↑ 100%

vs Claude Opus 4.7: ↑ 106.2%

#37

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)

vs GPT-5.4 Thinking: ↑ 276.1%

vs Claude Opus 4.7: ↑ 287.7%

#38

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)

vs GPT-5.4 Thinking: ↑ 288.1%

vs Claude Opus 4.7: ↑ 300%

#39

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)

vs GPT-5.4 Thinking: ↑ 345.1%

vs Claude Opus 4.7: ↑ 358.8%

#40

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)

vs GPT-5.4 Thinking: ↑ 345.1%

vs Claude Opus 4.7: ↑ 358.8%

✨ 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.

Scaling Enterprise Code Review Pipelines

For engineering teams handling massive codebases, code review automation at scale requires more than just basic summarization. The choice between GPT-5.4 Thinking and Claude Opus 4.7 often comes down to how your architecture handles long-horizon reasoning and complex dependency tracking. Both models excel at identifying architectural flaws and subtle logic bugs, but they approach the task with distinct operational philosophies.

Reasoning vs. Nuance in PR Analysis

GPT-5.4 Thinking is purpose-built for tasks requiring deep, iterative reasoning. Its ability to maintain a clear internal plan of thought makes it a standout choice for PRs where the impact of a change ripples across multiple modules. When analyzing 100,000-token diffs, this reasoning capability helps ensure that the agent doesn’t just catch syntax errors but understands the intended architectural state, reducing the need for back-and-forth communication.

Conversely, Claude Opus 4.7 has gained a reputation for its nuanced, highly readable feedback. For organizations prioritizing developer experience and style-guide adherence, Opus 4.7 often produces comments that feel more human-authored, minimizing the ‘robotic’ feel of automated reviews. However, the model can sometimes be more verbose, which in high-volume, 100M-token-monthly environments, requires careful management of output token limits. Engineering leads should consider whether their primary bottleneck is bug detection precision or developer team velocity when choosing between these two industry-leading options.

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.

Enterprise Code Review: 100,000-Token PR Diffs at 100M Monthly Scale with GPT-5.4 Thinking vs Claude Opus 4.7

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

GPT-5.4 Thinking

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

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?

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?

✨ 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 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

GPT-5.4 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

Scaling Enterprise Code Review Pipelines

Reasoning vs. Nuance in PR Analysis

Frequently Asked Questions

Related model pricing

Compare across providers

Other models from the same provider

Mistral Small 3
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