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: 100 images at medium resolution = 17,000 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 30% 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.

GPT-5.4 mini vs Gemini 3.5 Flash for 100K-Token SEO Pipelines and 100 Images

Name: Gemini 3.5 Flash
Brand: Google
Price: 0.05 USD
Availability: InStock
Rating: 4.5 (89 reviews)

GPT-5.4 mini vs Gemini 3.5 Flash

Complete Comparison: 100,000 input tokens × 3,000 output tokens

🖼️ 100 Images ⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 100 Images, 30% Cached.

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

Comparison Criteria	GPT-5.4 mini OpenAI	Gemini 3.5 Flash Google
Calculation Results (Current Inputs) (100 images, 30% cached)
Input Tokens	100,000	100,000
Output Tokens	3,000	3,000
Cost Breakdown
Input Cost	$0.028425 (rounded ~ $0.03)Best	$0.056850 (rounded ~ $0.06)Worst
Output Cost	$0.003375Best	$0.006750 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.024125 (rounded ~ $0.02) Best Value	$0.048251 (rounded ~ $0.05) Most Expensive
Processing Time	5 minutes, 24.84 seconds Slowest	3 minutes, 11.16 seconds Fastest
Tokens per Second	500Slowest	850Fastest
Time to First Token	180ms Worst	90ms Best
Cost per 1K tokens	$0.000156Best	$0.000312Worst
Tokens per Dollar	6,408,224Best Value	3,204,112Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.187500 (rounded ~ $0.19)Best	$0.375000 (rounded ~ $0.38)Worst
Output Cost / 1M (Base)	$1.125000 (rounded ~ $1.13)Best	$2.250000Worst
Input Cost / 1M (Optimized)	$0.093750 (rounded ~ $0.09)Best Optimizations: 50.0% batch	$0.187500 (rounded ~ $0.19)Worst Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$0.562500 (rounded ~ $0.56)Best Optimizations: 50.0% batch	$1.125000 (rounded ~ $1.13)Worst Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support 100	✓ Supported	✓ Supported
Video Support	✗ Not Supported	✓ Supported
Audio Support	✗ Not Supported	✓ Supported
Caching Support 30	✓ 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

$0.024125 (rounded ~ $0.02)

Total Cost

🖼️ 100 Image (Medium) ⚡ 30% 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) $0.031800 (rounded ~ $0.03) Input: $0.028425 (rounded ~ $0.03)
Output: $0.003375

Optimized Cost $0.024125 (rounded ~ $0.02) Input: $0.028425 (rounded ~ $0.03)
Output: $0.003375
Unit: $0.000000
Fees: $0.000000

Total Savings $0.007675 (rounded ~ $0.01) 24.1% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input

$0.000000

51,600 tokens

📊 Batch API

50.0% off

Asynchronous processing discount

Multimodal Input Details

🖼️ Images

Count: 100
Resolution: Medium
Tokens: 51,600
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 3,000 output tokens:

Input Cost: $0.028425 (rounded ~ $0.03)
Output Cost: $0.003375
Total Cost: $0.024125 (rounded ~ $0.02)
Cost per 1K tokens: $0.000156
Tokens per dollar: 6,408,224 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: 5 minutes, 24.84 seconds
Latency: 180 milliseconds to first token
Base Throughput: 500 tokens/second
Effective Throughput: 476 tokens/second (temperature-adjusted)

Best Use Cases

GPT-5.4 mini is best for logic-intensive text tasks and schema generation; Gemini 3.5 Flash is best for high-speed multimodal (text + image) SEO enrichment.

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 3.5 Flash Google 1000000

$0.048251 (rounded ~ $0.05)

Total Cost

🖼️ 100 Image (Medium) ⚡ 30% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✓ Available

🎧

Audio Processing

✓ Available

🎥

Video Analysis

✓ Available

🔧

Tool Usage

✓ Available

📄

OCR Support

✗ Not Available

📊

Batch API

✓ Available

⚡

Caching

✓ Available

90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.063600 (rounded ~ $0.06) Input: $0.056850 (rounded ~ $0.06)
Output: $0.006750 (rounded ~ $0.01)

Optimized Cost $0.048251 (rounded ~ $0.05) Input: $0.056850 (rounded ~ $0.06)
Output: $0.006750 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.015350 (rounded ~ $0.02) 24.1% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input

$0.000000

51,600 tokens

📊 Batch API

50.0% off

Asynchronous processing discount

Multimodal Input Details

🖼️ Images

Count: 100
Resolution: Medium
Tokens: 51,600
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 3,000 output tokens:

Input Cost: $0.056850 (rounded ~ $0.06)
Output Cost: $0.006750 (rounded ~ $0.01)
Total Cost: $0.048251 (rounded ~ $0.05)
Cost per 1K tokens: $0.000312
Tokens per dollar: 3,204,112 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 90ms time to first token:

Processing Time: 3 minutes, 11.16 seconds
Latency: 90 milliseconds to first token
Base Throughput: 850 tokens/second
Effective Throughput: 810 tokens/second (temperature-adjusted)

Best Use Cases

GPT-5.4 mini is best for logic-intensive text tasks and schema generation; Gemini 3.5 Flash is best for high-speed multimodal (text + image) SEO enrichment.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.5 Flash. 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: 100,000

Output Tokens: 3,000

Batch API: Enabled (50% discount)

Cached Tokens: 30%

Images: 100 (Medium Resolution)

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs GPT-5.4 mini	vs Gemini 3.5 Flash
🏆	Mistral Small 3 Mistral AI	$0.002992 Best Value	↓ 87.6% cheaper	↓ 93.8% cheaper
🥈	Gemini 3.1 Flash Lite Google	$0.008042 (rounded ~ $0.01)	↓ 66.7% cheaper	↓ 83.3% cheaper
🥉	Gemini 3.5 Flash-Lite Google	$0.010175	↓ 57.8% cheaper	↓ 78.9% cheaper
#4	Gemini 2.5 Flash Google	$0.010175	↓ 57.8% cheaper	↓ 78.9% cheaper
#5	Mistral Large 3 Mistral AI	$0.015209 (rounded ~ $0.02)	↓ 37% cheaper	↓ 68.5% cheaper
#6	Gemini 3.8 Flash Google	$0.023563 (rounded ~ $0.02)	↓ 2.3% cheaper	↓ 51.2% cheaper
#7	o4-mini Deep Research OpenAI	$0.030667	↑ 27.1% more	↓ 36.4% cheaper
#8	Claude Haiku 4.5 Anthropic	$0.031417 (rounded ~ $0.03)	↑ 30.2% more	↓ 34.9% cheaper
#9	Gemini 3.1 Flash Google	$0.032167 (rounded ~ $0.03)	↑ 33.3% more	↓ 33.3% cheaper
#10	GPT-5.6 Luna OpenAI	$0.032167 (rounded ~ $0.03)	↑ 33.3% more	↓ 33.3% cheaper
#11	o4-mini OpenAI	$0.033734 (rounded ~ $0.03)	↑ 39.8% more	↓ 30.1% cheaper
#12	Gemini 3.6 Flash Google	$0.047126 (rounded ~ $0.05)	↑ 95.3% more	↓ 2.3% cheaper
#13	Gemini 3.5 Flash Google	$0.048251 (rounded ~ $0.05)	↑ 100% more	Same price
#14	GPT-5.3 Codex Spark OpenAI	$0.058917 (rounded ~ $0.06)	↑ 144.2% more	↑ 22.1% more
#15	GPT-5.3 Instant OpenAI	$0.058917 (rounded ~ $0.06)	↑ 144.2% more	↑ 22.1% more
#16	Claude Sonnet 5 Anthropic	$0.062834 (rounded ~ $0.06)	↑ 160.4% more	↑ 30.2% more
#17	GPT-5.6 Terra OpenAI	$0.080418	↑ 233.3% more	↑ 66.7% more
#18	Gemini 2.5 Pro Google	$0.084168 (rounded ~ $0.08)	↑ 248.9% more	↑ 74.4% more
#19	Claude Sonnet 4.6 Anthropic	$0.094251 (rounded ~ $0.09)	↑ 290.7% more	↑ 95.3% more
#20	Grok 4.3 xAI	$0.116668 (rounded ~ $0.12)	↑ 383.6% more	↑ 141.8% more
#21	Gemini 3.1 Pro Google	$0.128668 (rounded ~ $0.13)	↑ 433.3% more	↑ 166.7% more
#22	Claude Opus 4.7 Anthropic	$0.157085 (rounded ~ $0.16)	↑ 551.1% more	↑ 225.6% more
#23	Claude Opus 5 Anthropic	$0.157085 (rounded ~ $0.16)	↑ 551.1% more	↑ 225.6% more
#24	Claude Opus 4.8 Anthropic	$0.157085 (rounded ~ $0.16)	↑ 551.1% more	↑ 225.6% more
#25	Claude Opus 4.6 Anthropic	$0.157085 (rounded ~ $0.16)	↑ 551.1% more	↑ 225.6% more
#26	GPT-5.4 OpenAI	$0.160835	↑ 566.7% more	↑ 233.3% more
#27	GPT-5.4 Thinking OpenAI	$0.160835	↑ 566.7% more	↑ 233.3% more
#28	GPT-5.5 Instant OpenAI	$0.160835	↑ 566.7% more	↑ 233.3% more
#29	GPT-5.6 Sol OpenAI	$0.160835	↑ 566.7% more	↑ 233.3% more
#30	Claude Fable 5.1 Anthropic	$0.305643 (rounded ~ $0.31)	↑ 1166.9% more	↑ 533.4% more
#31	Claude Mythos 5.1 Anthropic	$0.305643 (rounded ~ $0.31)	↑ 1166.9% more	↑ 533.4% more
#32	o3 Deep Research OpenAI	$0.306670 (rounded ~ $0.31)	↑ 1171.2% more	↑ 535.6% more
#33	Claude Fable 5 Anthropic	$0.314170 (rounded ~ $0.31)	↑ 1202.2% more	↑ 551.1% more
#34	Claude Mythos 5 Anthropic	$0.314170 (rounded ~ $0.31)	↑ 1202.2% more	↑ 551.1% more
#35	GPT-5.5 OpenAI	$0.321670 (rounded ~ $0.32)	↑ 1233.3% more	↑ 566.7% more
#36	o3 Pro OpenAI	$0.613340 (rounded ~ $0.61)	↑ 2442.3% more	↑ 1171.2% more
#37	GPT-6 Astra OpenAI	$0.628340 (rounded ~ $0.63)	↑ 2504.5% more	↑ 1202.2% more
#38	GPT-5.2 Pro OpenAI	$0.707007 (rounded ~ $0.71)	↑ 2830.6% more	↑ 1365.3% more
#39	GPT-5.2 Pro OpenAI	$0.707007 (rounded ~ $0.71)	↑ 2830.6% more	↑ 1365.3% more

🏆

Mistral Small 3
Mistral AI

$0.002992

vs GPT-5.4 mini: ↓ 87.6%

vs Gemini 3.5 Flash: ↓ 93.8%

🥈

Gemini 3.1 Flash Lite
Google

$0.008042 (rounded ~ $0.01)

vs GPT-5.4 mini: ↓ 66.7%

vs Gemini 3.5 Flash: ↓ 83.3%

🥉

Gemini 3.5 Flash-Lite
Google

$0.010175

vs GPT-5.4 mini: ↓ 57.8%

vs Gemini 3.5 Flash: ↓ 78.9%

Gemini 2.5 Flash
Google

$0.010175

vs GPT-5.4 mini: ↓ 57.8%

vs Gemini 3.5 Flash: ↓ 78.9%

Mistral Large 3
Mistral AI

$0.015209 (rounded ~ $0.02)

vs GPT-5.4 mini: ↓ 37%

vs Gemini 3.5 Flash: ↓ 68.5%

Gemini 3.8 Flash
Google

$0.023563 (rounded ~ $0.02)

vs GPT-5.4 mini: ↓ 2.3%

vs Gemini 3.5 Flash: ↓ 51.2%

o4-mini Deep Research
OpenAI

$0.030667

vs GPT-5.4 mini: ↑ 27.1%

vs Gemini 3.5 Flash: ↓ 36.4%

Claude Haiku 4.5
Anthropic

$0.031417 (rounded ~ $0.03)

vs GPT-5.4 mini: ↑ 30.2%

vs Gemini 3.5 Flash: ↓ 34.9%

Gemini 3.1 Flash
Google

$0.032167 (rounded ~ $0.03)

vs GPT-5.4 mini: ↑ 33.3%

vs Gemini 3.5 Flash: ↓ 33.3%

#10

GPT-5.6 Luna
OpenAI

$0.032167 (rounded ~ $0.03)

vs GPT-5.4 mini: ↑ 33.3%

vs Gemini 3.5 Flash: ↓ 33.3%

#11

o4-mini
OpenAI

$0.033734 (rounded ~ $0.03)

vs GPT-5.4 mini: ↑ 39.8%

vs Gemini 3.5 Flash: ↓ 30.1%

#12

Gemini 3.6 Flash
Google

$0.047126 (rounded ~ $0.05)

vs GPT-5.4 mini: ↑ 95.3%

vs Gemini 3.5 Flash: ↓ 2.3%

#13

Gemini 3.5 Flash
Google

$0.048251 (rounded ~ $0.05)

vs GPT-5.4 mini: ↑ 100%

vs Gemini 3.5 Flash: Same

#14

GPT-5.3 Codex Spark
OpenAI

$0.058917 (rounded ~ $0.06)

vs GPT-5.4 mini: ↑ 144.2%

vs Gemini 3.5 Flash: ↑ 22.1%

#15

GPT-5.3 Instant
OpenAI

$0.058917 (rounded ~ $0.06)

vs GPT-5.4 mini: ↑ 144.2%

vs Gemini 3.5 Flash: ↑ 22.1%

#16

Claude Sonnet 5
Anthropic

$0.062834 (rounded ~ $0.06)

vs GPT-5.4 mini: ↑ 160.4%

vs Gemini 3.5 Flash: ↑ 30.2%

#17

GPT-5.6 Terra
OpenAI

$0.080418

vs GPT-5.4 mini: ↑ 233.3%

vs Gemini 3.5 Flash: ↑ 66.7%

#18

Gemini 2.5 Pro
Google

$0.084168 (rounded ~ $0.08)

vs GPT-5.4 mini: ↑ 248.9%

vs Gemini 3.5 Flash: ↑ 74.4%

#19

Claude Sonnet 4.6
Anthropic

$0.094251 (rounded ~ $0.09)

vs GPT-5.4 mini: ↑ 290.7%

vs Gemini 3.5 Flash: ↑ 95.3%

#20

Grok 4.3
xAI

$0.116668 (rounded ~ $0.12)

vs GPT-5.4 mini: ↑ 383.6%

vs Gemini 3.5 Flash: ↑ 141.8%

#21

Gemini 3.1 Pro
Google

$0.128668 (rounded ~ $0.13)

vs GPT-5.4 mini: ↑ 433.3%

vs Gemini 3.5 Flash: ↑ 166.7%

#22

Claude Opus 4.7
Anthropic

$0.157085 (rounded ~ $0.16)

vs GPT-5.4 mini: ↑ 551.1%

vs Gemini 3.5 Flash: ↑ 225.6%

#23

Claude Opus 5
Anthropic

$0.157085 (rounded ~ $0.16)

vs GPT-5.4 mini: ↑ 551.1%

vs Gemini 3.5 Flash: ↑ 225.6%

#24

Claude Opus 4.8
Anthropic

$0.157085 (rounded ~ $0.16)

vs GPT-5.4 mini: ↑ 551.1%

vs Gemini 3.5 Flash: ↑ 225.6%

#25

Claude Opus 4.6
Anthropic

$0.157085 (rounded ~ $0.16)

vs GPT-5.4 mini: ↑ 551.1%

vs Gemini 3.5 Flash: ↑ 225.6%

#26

GPT-5.4
OpenAI

$0.160835

vs GPT-5.4 mini: ↑ 566.7%

vs Gemini 3.5 Flash: ↑ 233.3%

#27

GPT-5.4 Thinking
OpenAI

$0.160835

vs GPT-5.4 mini: ↑ 566.7%

vs Gemini 3.5 Flash: ↑ 233.3%

#28

GPT-5.5 Instant
OpenAI

$0.160835

vs GPT-5.4 mini: ↑ 566.7%

vs Gemini 3.5 Flash: ↑ 233.3%

#29

GPT-5.6 Sol
OpenAI

$0.160835

vs GPT-5.4 mini: ↑ 566.7%

vs Gemini 3.5 Flash: ↑ 233.3%

#30

Claude Fable 5.1
Anthropic

$0.305643 (rounded ~ $0.31)

vs GPT-5.4 mini: ↑ 1166.9%

vs Gemini 3.5 Flash: ↑ 533.4%

#31

Claude Mythos 5.1
Anthropic

$0.305643 (rounded ~ $0.31)

vs GPT-5.4 mini: ↑ 1166.9%

vs Gemini 3.5 Flash: ↑ 533.4%

#32

o3 Deep Research
OpenAI

$0.306670 (rounded ~ $0.31)

vs GPT-5.4 mini: ↑ 1171.2%

vs Gemini 3.5 Flash: ↑ 535.6%

#33

Claude Fable 5
Anthropic

$0.314170 (rounded ~ $0.31)

vs GPT-5.4 mini: ↑ 1202.2%

vs Gemini 3.5 Flash: ↑ 551.1%

#34

Claude Mythos 5
Anthropic

$0.314170 (rounded ~ $0.31)

vs GPT-5.4 mini: ↑ 1202.2%

vs Gemini 3.5 Flash: ↑ 551.1%

#35

GPT-5.5
OpenAI

$0.321670 (rounded ~ $0.32)

vs GPT-5.4 mini: ↑ 1233.3%

vs Gemini 3.5 Flash: ↑ 566.7%

#36

o3 Pro
OpenAI

$0.613340 (rounded ~ $0.61)

vs GPT-5.4 mini: ↑ 2442.3%

vs Gemini 3.5 Flash: ↑ 1171.2%

#37

GPT-6 Astra
OpenAI

$0.628340 (rounded ~ $0.63)

vs GPT-5.4 mini: ↑ 2504.5%

vs Gemini 3.5 Flash: ↑ 1202.2%

#38

GPT-5.2 Pro
OpenAI

$0.707007 (rounded ~ $0.71)

vs GPT-5.4 mini: ↑ 2830.6%

vs Gemini 3.5 Flash: ↑ 1365.3%

#39

GPT-5.2 Pro
OpenAI

$0.707007 (rounded ~ $0.71)

vs GPT-5.4 mini: ↑ 2830.6%

vs Gemini 3.5 Flash: ↑ 1365.3%

✨ 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 Hybrid SEO Workflows

Modern e-commerce SEO is no longer just text. To compete in 2026, you need to enrich your product pages with custom imagery and context-aware descriptions. Choosing between GPT-5.4 mini and Gemini 3.5 Flash for these hybrid pipelines is a classic trade-off between specialized reasoning and broad multimodal integration.

GPT-5.4 mini is a powerhouse for logic-heavy SEO tasks. If your workflow involves structured data extraction—such as pulling attributes from raw manufacturing manifests to populate schema markup—the reasoning capabilities inherent in this model provide a level of reliability that is difficult to beat. It functions like a precise assistant that rarely deviates from the requested output format, making it ideal for systems that feed directly into your e-commerce backend.

Conversely, Gemini 3.5 Flash is designed for speed and deep multimodal breadth. If your SEO strategy relies heavily on vision-based tasks—such as generating alt-text, tagging lifestyle images, or analyzing competitor assets to identify visual trends—Gemini’s native multimodal architecture is often more intuitive. It handles large-scale image processing efficiently, allowing you to bridge the gap between visual assets and textual content without needing multiple disparate APIs. For developers, Gemini’s integration with the broader Google ecosystem can also simplify deployment if your infrastructure is already cloud-native. The decision ultimately comes down to your primary pain point: if you need strict, logic-based content, lean toward GPT-5.4 mini; if you need to unify vision and text at high throughput, Gemini 3.5 Flash is the superior choice.

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.

GPT-5.4 mini vs Gemini 3.5 Flash for 100K-Token SEO Pipelines and 100 Images

🔄 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 3.5 Flash 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

Gemini 3.1 Flash Google

GPT-5.6 Luna OpenAI

o4-mini OpenAI

Gemini 3.6 Flash Google

Gemini 3.5 Flash Google

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GPT-5.3 Instant OpenAI

Claude Sonnet 5 Anthropic

GPT-5.6 Terra OpenAI

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Claude Sonnet 4.6 Anthropic

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GPT-5.6 Sol OpenAI

Claude Fable 5.1 Anthropic

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o3 Deep Research OpenAI

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GPT-5.5 OpenAI

o3 Pro OpenAI

GPT-6 Astra OpenAI

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