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 GPT 5.4 Mini: 10000 images at medium resolution = 1,700,000 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. OpenAI offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 25% 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.

Cost Optimization: 10,000 Property Image Tags with GPT-5.4 mini vs Gemini 3.1 Flash Lite

Name: Gemini 3.1 Flash Lite
Brand: Google
Price: 0.25 USD
Availability: InStock
Rating: 4.5 (89 reviews)

GPT-5.4 mini vs Gemini 3.1 Flash Lite

Complete Comparison: 1,000 input tokens × 500 output tokens

🖼️ 10000 Images ⚡ 25% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 10000 Images, 25% Cached.

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

Comparison Criteria	GPT-5.4 mini OpenAI	Gemini 3.1 Flash Lite Google
Calculation Results (Current Inputs) (10000 images, 25% cached)
Input Tokens	1,000	1,000
Output Tokens	500	500
Cost Breakdown
Input Cost	$0.967688 (rounded ~ $0.97)Worst	$0.322563 (rounded ~ $0.32)Best
Output Cost	$0.000563Worst	$0.000188Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.750520 Most Expensive	$0.250173 Best Value
Processing Time	2 hours, 58 minutes, 56.10 seconds Slowest	1 hour, 29 minutes, 28.14 seconds Fastest
Tokens per Second	500Slowest	1,000Fastest
Time to First Token	180ms Worst	80ms Best
Cost per 1K tokens	$0.000145Worst	$0.000048Best
Tokens per Dollar	6,877,229Worst Value	20,631,687Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.187500 (rounded ~ $0.19)Worst	$0.062500 (rounded ~ $0.06)Best
Output Cost / 1M (Base)	$1.125000 (rounded ~ $1.13)Worst	$0.375000 (rounded ~ $0.38)Best
Input Cost / 1M (Optimized)	$0.093750 (rounded ~ $0.09)Worst Optimizations: 50.0% batch	$0.031250 (rounded ~ $0.03)Best Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$0.562500 (rounded ~ $0.56)Worst Optimizations: 50.0% batch	$0.187500 (rounded ~ $0.19)Best Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support 10000	✓ Supported	✓ Supported
Video Support	✗ Not Supported	✓ Supported
Audio Support	✗ Not Supported	✓ Supported
OCR Support	✗ Not Supported	✓ Supported
Caching Support 25	✓ 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 mini OpenAI

$0.750520

Total Cost

⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.

🖼️ 10000 Image (Medium) ⚡ 25% 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) $0.968250 (rounded ~ $0.97) Input: $0.967688 (rounded ~ $0.97)
Output: $0.000563

Optimized Cost $0.750520 Input: $0.967688 (rounded ~ $0.97)
Output: $0.000563
Unit: $0.000000
Fees: $0.000000

Total Savings $0.217730 (rounded ~ $0.22) 22.5% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input

$0.000000

5,160,000 tokens

📊 Batch API

50.0% off

Asynchronous processing discount

Multimodal Input Details

🖼️ Images

Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 500 output tokens:

Input Cost: $0.967688 (rounded ~ $0.97)
Output Cost: $0.000563
Total Cost: $0.750520
Cost per 1K tokens: $0.000145
Tokens per dollar: 6,877,229 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: 2 hours, 58 minutes, 56.10 seconds
Latency: 180 milliseconds to first token
Base Throughput: 500 tokens/second
Effective Throughput: 481 tokens/second (temperature-adjusted)

Best Use Cases

Best for high-volume visual tagging and automated property description generation at scale.

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 →

Gemini 3.1 Flash Lite Google 1000000

$0.250173

Total Cost

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

🖼️ 10000 Image (Medium) ⚡ 25% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✓ Available

🎧

Audio Processing

✓ Available

🎥

Video Analysis

✓ Available

🔧

Tool Usage

✓ Available

📄

OCR Support

✓ Available

📊

Batch API

✓ Available

⚡

Caching

✓ Available

90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.322750 (rounded ~ $0.32) Input: $0.322563 (rounded ~ $0.32)
Output: $0.000188

Optimized Cost $0.250173 Input: $0.322563 (rounded ~ $0.32)
Output: $0.000188
Unit: $0.000000
Fees: $0.000000

Total Savings $0.072577 (rounded ~ $0.07) 22.5% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input

$0.000000

5,160,000 tokens

📊 Batch API

50.0% off

Asynchronous processing discount

Multimodal Input Details

🖼️ Images

Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 500 output tokens:

Input Cost: $0.322563 (rounded ~ $0.32)
Output Cost: $0.000188
Total Cost: $0.250173
Cost per 1K tokens: $0.000048
Tokens per dollar: 20,631,687 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 80ms time to first token:

Processing Time: 1 hour, 29 minutes, 28.14 seconds
Latency: 80 milliseconds to first token
Base Throughput: 1,000 tokens/second
Effective Throughput: 962 tokens/second (temperature-adjusted)

Best Use Cases

Best for high-volume visual tagging and automated property description generation at scale.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash Lite. 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 mini

📋 Active Input Parameters

Input Tokens: 1,000

Output Tokens: 500

Batch API: Enabled (50% discount)

Cached Tokens: 25%

Images: 10000 (Medium Resolution)

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs GPT-5.4 mini	vs Gemini 3.1 Flash Lite
🏆	Mistral Small 3 Mistral AI	$0.100032 Best Value	↓ 86.7% cheaper	↓ 60% cheaper
🥈	Gemini 3.1 Flash Lite Google	$0.250173	↓ 66.7% cheaper	Same price
🥉	Gemini 3.5 Flash-Lite Google	$0.300296	↓ 60% cheaper	↑ 20% more
#4	Gemini 2.5 Flash Google	$0.300296	↓ 60% cheaper	↑ 20% more
#5	Mistral Large 3 Mistral AI	$0.500409	↓ 33.3% cheaper	↑ 100% more
#6	Gemini 3.8 Flash Google	$0.750427	↓ 0% cheaper	↑ 200% more
#7	o4-mini Deep Research OpenAI	$1.000444	↑ 33.3% more	↑ 299.9% more
#8	Claude Haiku 4.5 Anthropic	$1.000569	↑ 33.3% more	↑ 300% more
#9	GPT-5.6 Luna OpenAI	$1.000694	↑ 33.3% more	↑ 300% more
#10	o4-mini OpenAI	$1.100488	↑ 46.6% more	↑ 339.9% more
#11	Gemini 3.6 Flash Google	$1.500853	↑ 100% more	↑ 499.9% more
#12	Gemini 3.5 Flash Google	$1.501041 (rounded ~ $1.50)	↑ 100% more	↑ 500% more
#13	GPT-5.3 Codex Spark OpenAI	$1.751652 (rounded ~ $1.75)	↑ 133.4% more	↑ 600.2% more
#14	GPT-5.3 Instant OpenAI	$1.751652 (rounded ~ $1.75)	↑ 133.4% more	↑ 600.2% more
#15	Claude Sonnet 5 Anthropic	$2.001138 (rounded ~ $2.00)	↑ 166.6% more	↑ 699.9% more
#16	Gemini 3.1 Flash Google	$2.001388 (rounded ~ $2.00)	↑ 166.7% more	↑ 700% more
#17	GPT-5.6 Terra OpenAI	$2.501734 (rounded ~ $2.50)	↑ 233.3% more	↑ 900% more
#18	Claude Sonnet 4.6 Anthropic	$3.001706 (rounded ~ $3.00)	↑ 300% more	↑ 1099.9% more
#19	Claude Opus 4.7 Anthropic	$5.002844 (rounded ~ $5.00)	↑ 566.6% more	↑ 1899.8% more
#20	Claude Opus 5 Anthropic	$5.002844 (rounded ~ $5.00)	↑ 566.6% more	↑ 1899.8% more
#21	Claude Opus 4.8 Anthropic	$5.002844 (rounded ~ $5.00)	↑ 566.6% more	↑ 1899.8% more
#22	Claude Opus 4.6 Anthropic	$5.002844 (rounded ~ $5.00)	↑ 566.6% more	↑ 1899.8% more
#23	Gemini 2.5 Pro Google	$5.003469 (rounded ~ $5.00)	↑ 566.7% more	↑ 1900% more
#24	GPT-5.5 Instant OpenAI	$5.003469 (rounded ~ $5.00)	↑ 566.7% more	↑ 1900% more
#25	GPT-5.6 Sol OpenAI	$5.003469 (rounded ~ $5.00)	↑ 566.7% more	↑ 1900% more
#26	Grok 4.3 xAI	$8.001550 (rounded ~ $8.00)	↑ 966.1% more	↑ 3098.4% more
#27	Gemini 3.1 Pro Google	$8.004050 (rounded ~ $8.00)	↑ 966.5% more	↑ 3099.4% more
#28	Claude Fable 5.1 Anthropic	$9.763766 (rounded ~ $9.76)	↑ 1200.9% more	↑ 3802.8% more
#29	Claude Mythos 5.1 Anthropic	$9.763766 (rounded ~ $9.76)	↑ 1200.9% more	↑ 3802.8% more
#30	o3 Deep Research OpenAI	$10.004438 (rounded ~ $10.00)	↑ 1233% more	↑ 3899% more
#31	GPT-5.4 OpenAI	$10.005063 (rounded ~ $10.01)	↑ 1233.1% more	↑ 3899.3% more
#32	GPT-5.4 Thinking OpenAI	$10.005063 (rounded ~ $10.01)	↑ 1233.1% more	↑ 3899.3% more
#33	Claude Fable 5 Anthropic	$10.005688 (rounded ~ $10.01)	↑ 1233.2% more	↑ 3899.5% more
#34	Claude Mythos 5 Anthropic	$10.005688 (rounded ~ $10.01)	↑ 1233.2% more	↑ 3899.5% more
#35	o3 Pro OpenAI	$20.008875 (rounded ~ $20.01)	↑ 2566% more	↑ 7898% more
#36	GPT-5.5 OpenAI	$20.010125	↑ 2566.2% more	↑ 7898.5% more
#37	GPT-5.2 Pro OpenAI	$21.019819	↑ 2700.7% more	↑ 8302.1% more
#38	GPT-6 Astra OpenAI	$40.022750 (rounded ~ $40.02)	↑ 5232.7% more	↑ 15898% more
#39	GPT-6 Astra OpenAI	$40.022750 (rounded ~ $40.02)	↑ 5232.7% more	↑ 15898% more

🏆

Mistral Small 3
Mistral AI

$0.100032

vs GPT-5.4 mini: ↓ 86.7%

vs Gemini 3.1 Flash Lite: ↓ 60%

🥈

Gemini 3.1 Flash Lite
Google

$0.250173

vs GPT-5.4 mini: ↓ 66.7%

vs Gemini 3.1 Flash Lite: Same

🥉

Gemini 3.5 Flash-Lite
Google

$0.300296

vs GPT-5.4 mini: ↓ 60%

vs Gemini 3.1 Flash Lite: ↑ 20%

Gemini 2.5 Flash
Google

$0.300296

vs GPT-5.4 mini: ↓ 60%

vs Gemini 3.1 Flash Lite: ↑ 20%

Mistral Large 3
Mistral AI

$0.500409

vs GPT-5.4 mini: ↓ 33.3%

vs Gemini 3.1 Flash Lite: ↑ 100%

Gemini 3.8 Flash
Google

$0.750427

vs GPT-5.4 mini: ↓ 0%

vs Gemini 3.1 Flash Lite: ↑ 200%

o4-mini Deep Research
OpenAI

$1.000444

vs GPT-5.4 mini: ↑ 33.3%

vs Gemini 3.1 Flash Lite: ↑ 299.9%

Claude Haiku 4.5
Anthropic

$1.000569

vs GPT-5.4 mini: ↑ 33.3%

vs Gemini 3.1 Flash Lite: ↑ 300%

GPT-5.6 Luna
OpenAI

$1.000694

vs GPT-5.4 mini: ↑ 33.3%

vs Gemini 3.1 Flash Lite: ↑ 300%

#10

o4-mini
OpenAI

$1.100488

vs GPT-5.4 mini: ↑ 46.6%

vs Gemini 3.1 Flash Lite: ↑ 339.9%

#11

Gemini 3.6 Flash
Google

$1.500853

vs GPT-5.4 mini: ↑ 100%

vs Gemini 3.1 Flash Lite: ↑ 499.9%

#12

Gemini 3.5 Flash
Google

$1.501041 (rounded ~ $1.50)

vs GPT-5.4 mini: ↑ 100%

vs Gemini 3.1 Flash Lite: ↑ 500%

#13

GPT-5.3 Codex Spark
OpenAI

$1.751652 (rounded ~ $1.75)

vs GPT-5.4 mini: ↑ 133.4%

vs Gemini 3.1 Flash Lite: ↑ 600.2%

#14

GPT-5.3 Instant
OpenAI

$1.751652 (rounded ~ $1.75)

vs GPT-5.4 mini: ↑ 133.4%

vs Gemini 3.1 Flash Lite: ↑ 600.2%

#15

Claude Sonnet 5
Anthropic

$2.001138 (rounded ~ $2.00)

vs GPT-5.4 mini: ↑ 166.6%

vs Gemini 3.1 Flash Lite: ↑ 699.9%

#16

Gemini 3.1 Flash
Google

$2.001388 (rounded ~ $2.00)

vs GPT-5.4 mini: ↑ 166.7%

vs Gemini 3.1 Flash Lite: ↑ 700%

#17

GPT-5.6 Terra
OpenAI

$2.501734 (rounded ~ $2.50)

vs GPT-5.4 mini: ↑ 233.3%

vs Gemini 3.1 Flash Lite: ↑ 900%

#18

Claude Sonnet 4.6
Anthropic

$3.001706 (rounded ~ $3.00)

vs GPT-5.4 mini: ↑ 300%

vs Gemini 3.1 Flash Lite: ↑ 1099.9%

#19

Claude Opus 4.7
Anthropic

$5.002844 (rounded ~ $5.00)

vs GPT-5.4 mini: ↑ 566.6%

vs Gemini 3.1 Flash Lite: ↑ 1899.8%

#20

Claude Opus 5
Anthropic

$5.002844 (rounded ~ $5.00)

vs GPT-5.4 mini: ↑ 566.6%

vs Gemini 3.1 Flash Lite: ↑ 1899.8%

#21

Claude Opus 4.8
Anthropic

$5.002844 (rounded ~ $5.00)

vs GPT-5.4 mini: ↑ 566.6%

vs Gemini 3.1 Flash Lite: ↑ 1899.8%

#22

Claude Opus 4.6
Anthropic

$5.002844 (rounded ~ $5.00)

vs GPT-5.4 mini: ↑ 566.6%

vs Gemini 3.1 Flash Lite: ↑ 1899.8%

#23

Gemini 2.5 Pro
Google

$5.003469 (rounded ~ $5.00)

vs GPT-5.4 mini: ↑ 566.7%

vs Gemini 3.1 Flash Lite: ↑ 1900%

#24

GPT-5.5 Instant
OpenAI

$5.003469 (rounded ~ $5.00)

vs GPT-5.4 mini: ↑ 566.7%

vs Gemini 3.1 Flash Lite: ↑ 1900%

#25

GPT-5.6 Sol
OpenAI

$5.003469 (rounded ~ $5.00)

vs GPT-5.4 mini: ↑ 566.7%

vs Gemini 3.1 Flash Lite: ↑ 1900%

#26

Grok 4.3
xAI

$8.001550 (rounded ~ $8.00)

vs GPT-5.4 mini: ↑ 966.1%

vs Gemini 3.1 Flash Lite: ↑ 3098.4%

#27

Gemini 3.1 Pro
Google

$8.004050 (rounded ~ $8.00)

vs GPT-5.4 mini: ↑ 966.5%

vs Gemini 3.1 Flash Lite: ↑ 3099.4%

#28

Claude Fable 5.1
Anthropic

$9.763766 (rounded ~ $9.76)

vs GPT-5.4 mini: ↑ 1200.9%

vs Gemini 3.1 Flash Lite: ↑ 3802.8%

#29

Claude Mythos 5.1
Anthropic

$9.763766 (rounded ~ $9.76)

vs GPT-5.4 mini: ↑ 1200.9%

vs Gemini 3.1 Flash Lite: ↑ 3802.8%

#30

o3 Deep Research
OpenAI

$10.004438 (rounded ~ $10.00)

vs GPT-5.4 mini: ↑ 1233%

vs Gemini 3.1 Flash Lite: ↑ 3899%

#31

GPT-5.4
OpenAI

$10.005063 (rounded ~ $10.01)

vs GPT-5.4 mini: ↑ 1233.1%

vs Gemini 3.1 Flash Lite: ↑ 3899.3%

#32

GPT-5.4 Thinking
OpenAI

$10.005063 (rounded ~ $10.01)

vs GPT-5.4 mini: ↑ 1233.1%

vs Gemini 3.1 Flash Lite: ↑ 3899.3%

#33

Claude Fable 5
Anthropic

$10.005688 (rounded ~ $10.01)

vs GPT-5.4 mini: ↑ 1233.2%

vs Gemini 3.1 Flash Lite: ↑ 3899.5%

#34

Claude Mythos 5
Anthropic

$10.005688 (rounded ~ $10.01)

vs GPT-5.4 mini: ↑ 1233.2%

vs Gemini 3.1 Flash Lite: ↑ 3899.5%

#35

o3 Pro
OpenAI

$20.008875 (rounded ~ $20.01)

vs GPT-5.4 mini: ↑ 2566%

vs Gemini 3.1 Flash Lite: ↑ 7898%

#36

GPT-5.5
OpenAI

$20.010125

vs GPT-5.4 mini: ↑ 2566.2%

vs Gemini 3.1 Flash Lite: ↑ 7898.5%

#37

GPT-5.2 Pro
OpenAI

$21.019819

vs GPT-5.4 mini: ↑ 2700.7%

vs Gemini 3.1 Flash Lite: ↑ 8302.1%

#38

GPT-6 Astra
OpenAI

$40.022750 (rounded ~ $40.02)

vs GPT-5.4 mini: ↑ 5232.7%

vs Gemini 3.1 Flash Lite: ↑ 15898%

#39

GPT-6 Astra
OpenAI

$40.022750 (rounded ~ $40.02)

vs GPT-5.4 mini: ↑ 5232.7%

vs Gemini 3.1 Flash Lite: ↑ 15898%

✨ 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.

Visual Intelligence for Real Estate Portfolios

In the mid-market real estate sector, scaling property listings requires more than just text; it demands a nuanced visual understanding of architectural features and interior finishes. When processing 10,000 images monthly, the choice between these two vision-capable models hinges on the balance between raw identification speed and contextual descriptive depth. Real estate agents automating their catalogs need models that can distinguish between “modern farmhouse” and “industrial chic” without manual intervention.

Gemini 3.1 Flash Lite offers a significant advantage for teams prioritizing high-throughput multimodal processing. Its native multimodal architecture is designed for low-latency visual reasoning, making it ideal for rapid-fire tagging of property photos for SEO-optimized meta-descriptions. Conversely, GPT-5.4 mini brings the sophisticated instruction-following capabilities typical of the OpenAI ecosystem. This makes it particularly effective for generating creative, persuasive listing copy directly from a single photo, rather than just identifying objects.

For SaaS platforms serving growing brokerage firms, the decision factor often comes down to ecosystem integration. GPT-5.4 mini fits seamlessly into existing OpenAI-driven orchestration patterns, whereas Gemini excels in environments where long-context video or vast image libraries are the primary data source. Selecting the right tool ensures that your automated listing pipeline remains both accurate and fast enough to keep pace with a fluctuating housing market.

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.

Cost Optimization: 10,000 Property Image Tags with GPT-5.4 mini vs Gemini 3.1 Flash Lite

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

GPT-5.4 mini

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 mini OpenAI

💰 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 Flash Lite Google 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?

✨ 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

o4-mini Deep Research OpenAI

Claude Haiku 4.5 Anthropic

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

Gemini 3.1 Flash Google

GPT-5.6 Terra OpenAI

Claude Sonnet 4.6 Anthropic

Claude Opus 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

Gemini 2.5 Pro Google

GPT-5.5 Instant OpenAI

GPT-5.6 Sol OpenAI

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