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.

100K Tokens: Claude Sonnet 4.6 vs GPT-5.4 mini for Marketing Agent Orchestration

Name: GPT-5.4 mini
Brand: OpenAI
Price: 0.01 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5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 Sonnet 5 pricing → · All recent pricing changes

Claude Sonnet 4.6 vs GPT-5.4 mini

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 Sonnet 4.6 Anthropic	GPT-5.4 mini OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens	100,000	100,000
Output Tokens	2,000	2,000
Cost Breakdown
Input Cost	$0.075000 (rounded ~ $0.08)Worst	$0.018750 (rounded ~ $0.02)Best
Output Cost	$0.007500 (rounded ~ $0.01)Worst	$0.002250Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.048750 (rounded ~ $0.05) Most Expensive	$0.012563 (rounded ~ $0.01) Best Value
Processing Time	4 minutes, 2.71 seconds Slowest	3 minutes, 38.46 seconds Fastest
Tokens per Second	450Slowest	500Fastest
Time to First Token	200ms Worst	180ms Best
Cost per 1K tokens	$0.000478Worst	$0.000123Best
Tokens per Dollar	2,092,308Worst Value	8,119,403Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.750000Worst	$0.187500 (rounded ~ $0.19)Best
Output Cost / 1M (Base)	$3.750000Worst	$1.125000 (rounded ~ $1.13)Best
Input Cost / 1M (Optimized)	$0.375000 (rounded ~ $0.38)Worst Optimizations: 50.0% batch	$0.093750 (rounded ~ $0.09)Best Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$1.875000 (rounded ~ $1.88)Worst Optimizations: 50.0% batch	$0.562500 (rounded ~ $0.56)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.

Claude Sonnet 4.6 Anthropic 1000000

$0.048750 (rounded ~ $0.05)

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) $0.082500 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)

Optimized Cost $0.048750 (rounded ~ $0.05) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.033750 (rounded ~ $0.03) 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: $0.075000 (rounded ~ $0.08)
Output Cost: $0.007500 (rounded ~ $0.01)
Total Cost: $0.048750 (rounded ~ $0.05)
Cost per 1K tokens: $0.000478
Tokens per dollar: 2,092,308 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

Processing Time: 4 minutes, 2.71 seconds
Latency: 200 milliseconds to first token
Base Throughput: 450 tokens/second
Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Sonnet 4.6 for nuancereasoningand complex instructions; choose GPT-5.4 mini for high-throughputstructured tool-calling and system integrations.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. 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 mini OpenAI

$0.012563 (rounded ~ $0.01)

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) $0.021000 (rounded ~ $0.02) Input: $0.018750 (rounded ~ $0.02)
Output: $0.002250

Optimized Cost $0.012563 (rounded ~ $0.01) Input: $0.018750 (rounded ~ $0.02)
Output: $0.002250
Unit: $0.000000
Fees: $0.000000

Total Savings $0.008438 (rounded ~ $0.01) 40.2% 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: $0.018750 (rounded ~ $0.02)
Output Cost: $0.002250
Total Cost: $0.012563 (rounded ~ $0.01)
Cost per 1K tokens: $0.000123
Tokens per dollar: 8,119,403 tokens
Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 180ms time to first token:

Processing Time: 3 minutes, 38.46 seconds
Latency: 180 milliseconds to first token
Base Throughput: 500 tokens/second
Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Sonnet 4.6 for nuancereasoningand complex instructions; choose GPT-5.4 mini for high-throughputstructured tool-calling and system integrations.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 mini. 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 Sonnet 4.6

📋 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 Sonnet 4.6	vs GPT-5.4 mini
🏆	Mistral Small 3 Mistral AI	$0.001525 Best Value	↓ 96.9% cheaper	↓ 87.9% cheaper
🥈	Gemini 3.1 Flash Lite Google	$0.004188	↓ 91.4% cheaper	↓ 66.7% cheaper
🥉	Gemini 3.5 Flash-Lite Google	$0.005375 (rounded ~ $0.01)	↓ 89% cheaper	↓ 57.2% cheaper
#4	Gemini 2.5 Flash Google	$0.005375 (rounded ~ $0.01)	↓ 89% cheaper	↓ 57.2% cheaper
#5	Mistral Large 3 Mistral AI	$0.007625 (rounded ~ $0.01)	↓ 84.4% cheaper	↓ 39.3% cheaper
#6	Gemini 3.8 Flash Google	$0.012188 (rounded ~ $0.01)	↓ 75% cheaper	↓ 3% cheaper
#7	GPT-5.4 mini OpenAI	$0.012563 (rounded ~ $0.01)	↓ 74.2% cheaper	Same price
#8	o4-mini Deep Research OpenAI	$0.015750 (rounded ~ $0.02)	↓ 67.7% cheaper	↑ 25.4% more
#9	Claude Haiku 4.5 Anthropic	$0.016250 (rounded ~ $0.02)	↓ 66.7% cheaper	↑ 29.4% more
#10	Gemini 3.1 Flash Google	$0.016750 (rounded ~ $0.02)	↓ 65.6% cheaper	↑ 33.3% more
#11	GPT-5.6 Luna OpenAI	$0.016750 (rounded ~ $0.02)	↓ 65.6% cheaper	↑ 33.3% more
#12	o4-mini OpenAI	$0.017325 (rounded ~ $0.02)	↓ 64.5% cheaper	↑ 37.9% more
#13	Gemini 3.6 Flash Google	$0.024375 (rounded ~ $0.02)	↓ 50% cheaper	↑ 94% more
#14	Gemini 3.5 Flash Google	$0.025125 (rounded ~ $0.03)	↓ 48.5% cheaper	↑ 100% more
#15	GPT-5.3 Codex Spark OpenAI	$0.031063 (rounded ~ $0.03)	↓ 36.3% cheaper	↑ 147.3% more
#16	GPT-5.3 Instant OpenAI	$0.031063 (rounded ~ $0.03)	↓ 36.3% cheaper	↑ 147.3% more
#17	Claude Sonnet 5 Anthropic	$0.032500 (rounded ~ $0.03)	↓ 33.3% cheaper	↑ 158.7% more
#18	GPT-5.6 Terra OpenAI	$0.041875 (rounded ~ $0.04)	↓ 14.1% cheaper	↑ 233.3% more
#19	Gemini 2.5 Pro Google	$0.044375 (rounded ~ $0.04)	↓ 9% cheaper	↑ 253.2% more
#20	Grok 4.3 xAI	$0.059000 (rounded ~ $0.06)	↑ 21% more	↑ 369.7% more
#21	Grok 4.20 Beta xAI	$0.059000 (rounded ~ $0.06)	↑ 21% more	↑ 369.7% more
#22	Gemini 3.1 Pro Google	$0.067000 (rounded ~ $0.07)	↑ 37.4% more	↑ 433.3% more
#23	Claude Opus 4.7 Anthropic	$0.081250 (rounded ~ $0.08)	↑ 66.7% more	↑ 546.8% more
#24	Claude Opus 5 Anthropic	$0.081250 (rounded ~ $0.08)	↑ 66.7% more	↑ 546.8% more
#25	Claude Opus 4.8 Anthropic	$0.081250 (rounded ~ $0.08)	↑ 66.7% more	↑ 546.8% more
#26	Claude Opus 4.6 Anthropic	$0.081250 (rounded ~ $0.08)	↑ 66.7% more	↑ 546.8% more
#27	GPT-5.4 OpenAI	$0.083750 (rounded ~ $0.08)	↑ 71.8% more	↑ 566.7% more
#28	GPT-5.4 Thinking OpenAI	$0.083750 (rounded ~ $0.08)	↑ 71.8% more	↑ 566.7% more
#29	GPT-5.5 Instant OpenAI	$0.083750 (rounded ~ $0.08)	↑ 71.8% more	↑ 566.7% more
#30	GPT-5.6 Sol OpenAI	$0.083750 (rounded ~ $0.08)	↑ 71.8% more	↑ 566.7% more
#31	Claude Fable 5.1 Anthropic	$0.153125 (rounded ~ $0.15)	↑ 214.1% more	↑ 1118.9% more
#32	Claude Mythos 5.1 Anthropic	$0.153125 (rounded ~ $0.15)	↑ 214.1% more	↑ 1118.9% more
#33	o3 Deep Research OpenAI	$0.157500 (rounded ~ $0.16)	↑ 223.1% more	↑ 1153.7% more
#34	Claude Fable 5 Anthropic	$0.162500 (rounded ~ $0.16)	↑ 233.3% more	↑ 1193.5% more
#35	Claude Mythos 5 Anthropic	$0.162500 (rounded ~ $0.16)	↑ 233.3% more	↑ 1193.5% more
#36	GPT-5.5 OpenAI	$0.167500 (rounded ~ $0.17)	↑ 243.6% more	↑ 1233.3% more
#37	o3 Pro OpenAI	$0.315000 (rounded ~ $0.32)	↑ 546.2% more	↑ 2407.5% more
#38	GPT-6 Astra OpenAI	$0.325000 (rounded ~ $0.33)	↑ 566.7% more	↑ 2487.1% more
#39	GPT-5.2 Pro OpenAI	$0.372750 (rounded ~ $0.37)	↑ 664.6% more	↑ 2867.2% more
#40	GPT-5.2 Pro OpenAI	$0.372750 (rounded ~ $0.37)	↑ 664.6% more	↑ 2867.2% more

🏆

Mistral Small 3
Mistral AI

$0.001525

vs Claude Sonnet 4.6: ↓ 96.9%

vs GPT-5.4 mini: ↓ 87.9%

🥈

Gemini 3.1 Flash Lite
Google

$0.004188

vs Claude Sonnet 4.6: ↓ 91.4%

vs GPT-5.4 mini: ↓ 66.7%

🥉

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 89%

vs GPT-5.4 mini: ↓ 57.2%

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 89%

vs GPT-5.4 mini: ↓ 57.2%

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 84.4%

vs GPT-5.4 mini: ↓ 39.3%

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 75%

vs GPT-5.4 mini: ↓ 3%

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 74.2%

vs GPT-5.4 mini: Same

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 67.7%

vs GPT-5.4 mini: ↑ 25.4%

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 66.7%

vs GPT-5.4 mini: ↑ 29.4%

#10

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 65.6%

vs GPT-5.4 mini: ↑ 33.3%

#11

GPT-5.6 Luna
OpenAI

$0.016750 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 65.6%

vs GPT-5.4 mini: ↑ 33.3%

#12

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 64.5%

vs GPT-5.4 mini: ↑ 37.9%

#13

Gemini 3.6 Flash
Google

$0.024375 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 50%

vs GPT-5.4 mini: ↑ 94%

#14

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)

vs Claude Sonnet 4.6: ↓ 48.5%

vs GPT-5.4 mini: ↑ 100%

#15

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)

vs Claude Sonnet 4.6: ↓ 36.3%

vs GPT-5.4 mini: ↑ 147.3%

#16

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)

vs Claude Sonnet 4.6: ↓ 36.3%

vs GPT-5.4 mini: ↑ 147.3%

#17

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)

vs Claude Sonnet 4.6: ↓ 33.3%

vs GPT-5.4 mini: ↑ 158.7%

#18

GPT-5.6 Terra
OpenAI

$0.041875 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↓ 14.1%

vs GPT-5.4 mini: ↑ 233.3%

#19

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↓ 9%

vs GPT-5.4 mini: ↑ 253.2%

#20

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)

vs Claude Sonnet 4.6: ↑ 21%

vs GPT-5.4 mini: ↑ 369.7%

#21

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)

vs Claude Sonnet 4.6: ↑ 21%

vs GPT-5.4 mini: ↑ 369.7%

#22

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)

vs Claude Sonnet 4.6: ↑ 37.4%

vs GPT-5.4 mini: ↑ 433.3%

#23

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)

vs Claude Sonnet 4.6: ↑ 66.7%

vs GPT-5.4 mini: ↑ 546.8%

#24

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)

vs Claude Sonnet 4.6: ↑ 66.7%

vs GPT-5.4 mini: ↑ 546.8%

#25

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)

vs Claude Sonnet 4.6: ↑ 66.7%

vs GPT-5.4 mini: ↑ 546.8%

#26

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)

vs Claude Sonnet 4.6: ↑ 66.7%

vs GPT-5.4 mini: ↑ 546.8%

#27

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)

vs Claude Sonnet 4.6: ↑ 71.8%

vs GPT-5.4 mini: ↑ 566.7%

#28

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)

vs Claude Sonnet 4.6: ↑ 71.8%

vs GPT-5.4 mini: ↑ 566.7%

#29

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)

vs Claude Sonnet 4.6: ↑ 71.8%

vs GPT-5.4 mini: ↑ 566.7%

#30

GPT-5.6 Sol
OpenAI

$0.083750 (rounded ~ $0.08)

vs Claude Sonnet 4.6: ↑ 71.8%

vs GPT-5.4 mini: ↑ 566.7%

#31

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)

vs Claude Sonnet 4.6: ↑ 214.1%

vs GPT-5.4 mini: ↑ 1118.9%

#32

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)

vs Claude Sonnet 4.6: ↑ 214.1%

vs GPT-5.4 mini: ↑ 1118.9%

#33

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)

vs Claude Sonnet 4.6: ↑ 223.1%

vs GPT-5.4 mini: ↑ 1153.7%

#34

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)

vs Claude Sonnet 4.6: ↑ 233.3%

vs GPT-5.4 mini: ↑ 1193.5%

#35

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)

vs Claude Sonnet 4.6: ↑ 233.3%

vs GPT-5.4 mini: ↑ 1193.5%

#36

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)

vs Claude Sonnet 4.6: ↑ 243.6%

vs GPT-5.4 mini: ↑ 1233.3%

#37

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)

vs Claude Sonnet 4.6: ↑ 546.2%

vs GPT-5.4 mini: ↑ 2407.5%

#38

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)

vs Claude Sonnet 4.6: ↑ 566.7%

vs GPT-5.4 mini: ↑ 2487.1%

#39

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)

vs Claude Sonnet 4.6: ↑ 664.6%

vs GPT-5.4 mini: ↑ 2867.2%

#40

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)

vs Claude Sonnet 4.6: ↑ 664.6%

vs GPT-5.4 mini: ↑ 2867.2%

✨ 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.

As marketing automation matures in 2026, the shift from static scripts to agentic orchestration has become the new standard. For teams processing 100K tokens monthly—a typical volume for multi-channel campaign orchestration—choosing the right model is a decision between two distinct architectural philosophies. Claude Sonnet 4.6 and GPT-5.4 mini both anchor the high-efficiency tier, but they serve different roles in an agentic stack. Claude Sonnet 4.6 is widely favored for its instruction-following capabilities. In orchestrations involving complex logical branching—such as dynamic audience segmentation or multi-step content adjustment—Sonnet’s ability to remain ‘on track’ and resist prompt drift is a massive advantage. It functions like a meticulous strategist that understands the nuance of the marketing brief. Conversely, GPT-5.4 mini is optimized for the high-throughput, structured output tasks that define production automation. Its native integration with parallel function calling allows it to manage multiple API requests to disparate marketing tools—such as CRM lookups, sentiment analysis, and social scheduling—without the latency inherent in sequential processing. If your orchestration workload focuses on speed, tool integration, and high-frequency data extraction, GPT-5.4 mini often provides the most responsive infrastructure. Choosing between them depends on your pipeline’s bottleneck: if accuracy and nuance in execution define your success, lean toward Claude. If raw throughput and multi-system integration performance dictate your ROI, GPT-5.4 mini is the more efficient choice for 100K-token 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 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.

100K Tokens: Claude Sonnet 4.6 vs GPT-5.4 mini for Marketing Agent Orchestration

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Claude Sonnet 4.6

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 Sonnet 4.6 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 mini OpenAI

💰 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

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-5.4 Thinking OpenAI

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