Gemini 3.5 Flash vs GPT-5.4 mini: 500 Image Captions for Storyboard Frames

Gemini 3.5 Flash vs GPT-5.4 mini
Complete Comparison: 50,000 input tokens × 1,000 output tokens
Comparison Mode
🖼️ 500 Images ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 500 Images, 20% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.5 Flash
Google
GPT-5.4 mini
OpenAI
Calculation Results (Current Inputs) (500 images, 20% cached)
Input Tokens 50,000 50,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.115500 (rounded ~ $0.12)Worst $0.057750 (rounded ~ $0.06)Best
Output Cost $0.002250Worst $0.001125Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.096960 (rounded ~ $0.10) Most Expensive $0.048480 (rounded ~ $0.05) Best Value
Processing Time 6 minutes, 21.89 seconds Fastest 10 minutes, 49.08 seconds Slowest
Tokens per Second 850Fastest 500Slowest
Time to First Token 90ms Best 180ms Worst
Cost per 1K tokens $0.000314Worst $0.000157Best
Tokens per Dollar 3,186,881Worst Value 6,373,762Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.375000 (rounded ~ $0.38)Worst $0.187500 (rounded ~ $0.19)Best
Output Cost / 1M (Base) $2.250000Worst $1.125000 (rounded ~ $1.13)Best
Input Cost / 1M (Optimized) $0.187500 (rounded ~ $0.19)Worst
Optimizations: 50.0% batch
$0.093750 (rounded ~ $0.09)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.125000 (rounded ~ $1.13)Worst
Optimizations: 50.0% batch
$0.562500 (rounded ~ $0.56)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
500
✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

Gemini 3.5 Flash
GoogleMax Context: 1,000,000 tokens
$1.5 / $9 per 1M tokens
Use Batch API (50% discount)
20%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.092400 Input Cost
$0.002250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
309,000Total Tokens
$0.000314Cost per 1K
3,186,881Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6m 21s Processing Time
850 Tokens/Second
90ms Time to First Token
810 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after

🧠 Reasoning & Thinking
Manual thinking tokens (billed at output rate)

🔧 Special Modes
Enable 6.0x Fast Mode multiplier

📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited

🎤 Realtime Audio & Video
Session length for billing
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Gemini 3.5 Flash Google 1000000

$0.096960 (rounded ~ $0.10)
Total Cost
🖼️ 500 Image (Medium) ⚡ 20% 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) $0.117750 (rounded ~ $0.12) Input: $0.115500 (rounded ~ $0.12)
Output: $0.002250
Optimized Cost $0.096960 (rounded ~ $0.10) Input: $0.115500 (rounded ~ $0.12)
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Total Savings $0.020790 17.7% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 500
Resolution: Medium
Tokens: 258,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.115500 (rounded ~ $0.12)
  • Output Cost: $0.002250
  • Total Cost: $0.096960 (rounded ~ $0.10)
  • Cost per 1K tokens: $0.000314
  • Tokens per dollar: 3,186,881 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: 6 minutes, 21.89 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 810 tokens/second (temperature-adjusted)

Best Use Cases

Choose Gemini 3.5 Flash for complexmulti-step visual reasoning or GPT-5.4 mini for high-speedcost-effective batch captioning.

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 →

GPT-5.4 mini OpenAI

$0.048480 (rounded ~ $0.05)
Total Cost
🖼️ 500 Image (Medium) ⚡ 20% 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) $0.058875 (rounded ~ $0.06) Input: $0.057750 (rounded ~ $0.06)
Output: $0.001125
Optimized Cost $0.048480 (rounded ~ $0.05) Input: $0.057750 (rounded ~ $0.06)
Output: $0.001125
Unit: $0.000000
Fees: $0.000000
Total Savings $0.010395 17.7% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 500
Resolution: Medium
Tokens: 258,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.057750 (rounded ~ $0.06)
  • Output Cost: $0.001125
  • Total Cost: $0.048480 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000157
  • Tokens per dollar: 6,373,762 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: 10 minutes, 49.08 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second (temperature-adjusted)

Best Use Cases

Choose Gemini 3.5 Flash for complexmulti-step visual reasoning or GPT-5.4 mini for high-speedcost-effective batch captioning.

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 Gemini 3.5 Flash
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Images: 500 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.5 Flash vs GPT-5.4 mini
🏆 Mistral Small 3
Mistral AI
$0.006389 (rounded ~ $0.01) Best Value ↓ 93.4% cheaper ↓ 86.8% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.016160 (rounded ~ $0.02) ↓ 83.3% cheaper ↓ 66.7% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
$0.019567 ↓ 79.8% cheaper ↓ 59.6% cheaper
#4 Gemini 2.5 Flash
Google
$0.019567 ↓ 79.8% cheaper ↓ 59.6% cheaper
#5 Mistral Large 3
Mistral AI
$0.032195 (rounded ~ $0.03) ↓ 66.8% cheaper ↓ 33.6% cheaper
#6 Gemini 3.8 Flash
Google
$0.048293 (rounded ~ $0.05) ↓ 50.2% cheaper ↓ 0.4% cheaper
#7 GPT-5.4 mini
OpenAI
$0.048480 (rounded ~ $0.05) ↓ 50% cheaper Same price
#8 o4-mini Deep Research
OpenAI
$0.064140 (rounded ~ $0.06) ↓ 33.8% cheaper ↑ 32.3% more
#9 Claude Haiku 4.5
Anthropic
$0.064390 (rounded ~ $0.06) ↓ 33.6% cheaper ↑ 32.8% more
#10 GPT-5.6 Luna
OpenAI
$0.064640 (rounded ~ $0.06) ↓ 33.3% cheaper ↑ 33.3% more
#11 o4-mini
OpenAI
$0.070554 ↓ 27.2% cheaper ↑ 45.5% more
#12 Gemini 3.6 Flash
Google
$0.096585 (rounded ~ $0.10) ↓ 0.4% cheaper ↑ 99.2% more
#13 GPT-5.3 Codex Spark
OpenAI
$0.113995 (rounded ~ $0.11) ↑ 17.6% more ↑ 135.1% more
#14 GPT-5.3 Instant
OpenAI
$0.113995 (rounded ~ $0.11) ↑ 17.6% more ↑ 135.1% more
#15 Claude Sonnet 5
Anthropic
$0.128780 (rounded ~ $0.13) ↑ 32.8% more ↑ 165.6% more
#16 Gemini 3.1 Flash
Google
$0.129280 ↑ 33.3% more ↑ 166.7% more
#17 GPT-5.6 Terra
OpenAI
$0.161600 (rounded ~ $0.16) ↑ 66.7% more ↑ 233.3% more
#18 Claude Sonnet 4.6
Anthropic
$0.193170 (rounded ~ $0.19) ↑ 99.2% more ↑ 298.5% more
#19 Claude Opus 4.7
Anthropic
$0.321950 (rounded ~ $0.32) ↑ 232% more ↑ 564.1% more
#20 Claude Opus 5
Anthropic
$0.321950 (rounded ~ $0.32) ↑ 232% more ↑ 564.1% more
#21 Claude Opus 4.8
Anthropic
$0.321950 (rounded ~ $0.32) ↑ 232% more ↑ 564.1% more
#22 Claude Opus 4.6
Anthropic
$0.321950 (rounded ~ $0.32) ↑ 232% more ↑ 564.1% more
#23 Gemini 2.5 Pro
Google
$0.323200 (rounded ~ $0.32) ↑ 233.3% more ↑ 566.7% more
#24 GPT-5.5 Instant
OpenAI
$0.323200 (rounded ~ $0.32) ↑ 233.3% more ↑ 566.7% more
#25 GPT-5.6 Sol
OpenAI
$0.323200 (rounded ~ $0.32) ↑ 233.3% more ↑ 566.7% more
#26 Grok 4.3
xAI
$0.509120 ↑ 425.1% more ↑ 950.2% more
#27 Gemini 3.1 Pro
Google
$0.514120 (rounded ~ $0.51) ↑ 430.2% more ↑ 960.5% more
#28 Claude Fable 5.1
Anthropic
$0.632350 (rounded ~ $0.63) ↑ 552.2% more ↑ 1204.4% more
#29 Claude Mythos 5.1
Anthropic
$0.632350 (rounded ~ $0.63) ↑ 552.2% more ↑ 1204.4% more
#30 o3 Deep Research
OpenAI
$0.641400 (rounded ~ $0.64) ↑ 561.5% more ↑ 1223% more
#31 GPT-5.4
OpenAI
$0.642650 (rounded ~ $0.64) ↑ 562.8% more ↑ 1225.6% more
#32 GPT-5.4 Thinking
OpenAI
$0.642650 (rounded ~ $0.64) ↑ 562.8% more ↑ 1225.6% more
#33 Claude Fable 5
Anthropic
$0.643900 (rounded ~ $0.64) ↑ 564.1% more ↑ 1228.2% more
#34 Claude Mythos 5
Anthropic
$0.643900 (rounded ~ $0.64) ↑ 564.1% more ↑ 1228.2% more
#35 o3 Pro
OpenAI
$1.282800 (rounded ~ $1.28) ↑ 1223% more ↑ 2546% more
#36 GPT-5.5
OpenAI
$1.285300 (rounded ~ $1.29) ↑ 1225.6% more ↑ 2551.2% more
#37 GPT-5.2 Pro
OpenAI
$1.367940 (rounded ~ $1.37) ↑ 1310.8% more ↑ 2721.7% more
#38 GPT-6 Astra
OpenAI
$2.575600 (rounded ~ $2.58) ↑ 2556.4% more ↑ 5212.7% more
#39 GPT-6 Astra
OpenAI
$2.575600 (rounded ~ $2.58) ↑ 2556.4% more ↑ 5212.7% more
🏆

Mistral Small 3
Mistral AI

$0.006389 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 93.4%
vs GPT-5.4 mini: ↓ 86.8%
🥈

Gemini 3.1 Flash Lite
Google

$0.016160 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 83.3%
vs GPT-5.4 mini: ↓ 66.7%
🥉

Gemini 3.5 Flash-Lite
Google

$0.019567
vs Gemini 3.5 Flash: ↓ 79.8%
vs GPT-5.4 mini: ↓ 59.6%
#4

Gemini 2.5 Flash
Google

$0.019567
vs Gemini 3.5 Flash: ↓ 79.8%
vs GPT-5.4 mini: ↓ 59.6%
#5

Mistral Large 3
Mistral AI

$0.032195 (rounded ~ $0.03)
vs Gemini 3.5 Flash: ↓ 66.8%
vs GPT-5.4 mini: ↓ 33.6%
#6

Gemini 3.8 Flash
Google

$0.048293 (rounded ~ $0.05)
vs Gemini 3.5 Flash: ↓ 50.2%
vs GPT-5.4 mini: ↓ 0.4%
#7

GPT-5.4 mini
OpenAI

$0.048480 (rounded ~ $0.05)
vs Gemini 3.5 Flash: ↓ 50%
vs GPT-5.4 mini: Same
#8

o4-mini Deep Research
OpenAI

$0.064140 (rounded ~ $0.06)
vs Gemini 3.5 Flash: ↓ 33.8%
vs GPT-5.4 mini: ↑ 32.3%
#9

Claude Haiku 4.5
Anthropic

$0.064390 (rounded ~ $0.06)
vs Gemini 3.5 Flash: ↓ 33.6%
vs GPT-5.4 mini: ↑ 32.8%
#10

GPT-5.6 Luna
OpenAI

$0.064640 (rounded ~ $0.06)
vs Gemini 3.5 Flash: ↓ 33.3%
vs GPT-5.4 mini: ↑ 33.3%
#11

o4-mini
OpenAI

$0.070554
vs Gemini 3.5 Flash: ↓ 27.2%
vs GPT-5.4 mini: ↑ 45.5%
#12

Gemini 3.6 Flash
Google

$0.096585 (rounded ~ $0.10)
vs Gemini 3.5 Flash: ↓ 0.4%
vs GPT-5.4 mini: ↑ 99.2%
#13

GPT-5.3 Codex Spark
OpenAI

$0.113995 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 17.6%
vs GPT-5.4 mini: ↑ 135.1%
#14

GPT-5.3 Instant
OpenAI

$0.113995 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 17.6%
vs GPT-5.4 mini: ↑ 135.1%
#15

Claude Sonnet 5
Anthropic

$0.128780 (rounded ~ $0.13)
vs Gemini 3.5 Flash: ↑ 32.8%
vs GPT-5.4 mini: ↑ 165.6%
#16

Gemini 3.1 Flash
Google

$0.129280
vs Gemini 3.5 Flash: ↑ 33.3%
vs GPT-5.4 mini: ↑ 166.7%
#17

GPT-5.6 Terra
OpenAI

$0.161600 (rounded ~ $0.16)
vs Gemini 3.5 Flash: ↑ 66.7%
vs GPT-5.4 mini: ↑ 233.3%
#18

Claude Sonnet 4.6
Anthropic

$0.193170 (rounded ~ $0.19)
vs Gemini 3.5 Flash: ↑ 99.2%
vs GPT-5.4 mini: ↑ 298.5%
#19

Claude Opus 4.7
Anthropic

$0.321950 (rounded ~ $0.32)
vs Gemini 3.5 Flash: ↑ 232%
vs GPT-5.4 mini: ↑ 564.1%
#20

Claude Opus 5
Anthropic

$0.321950 (rounded ~ $0.32)
vs Gemini 3.5 Flash: ↑ 232%
vs GPT-5.4 mini: ↑ 564.1%
#21

Claude Opus 4.8
Anthropic

$0.321950 (rounded ~ $0.32)
vs Gemini 3.5 Flash: ↑ 232%
vs GPT-5.4 mini: ↑ 564.1%
#22

Claude Opus 4.6
Anthropic

$0.321950 (rounded ~ $0.32)
vs Gemini 3.5 Flash: ↑ 232%
vs GPT-5.4 mini: ↑ 564.1%
#23

Gemini 2.5 Pro
Google

$0.323200 (rounded ~ $0.32)
vs Gemini 3.5 Flash: ↑ 233.3%
vs GPT-5.4 mini: ↑ 566.7%
#24

GPT-5.5 Instant
OpenAI

$0.323200 (rounded ~ $0.32)
vs Gemini 3.5 Flash: ↑ 233.3%
vs GPT-5.4 mini: ↑ 566.7%
#25

GPT-5.6 Sol
OpenAI

$0.323200 (rounded ~ $0.32)
vs Gemini 3.5 Flash: ↑ 233.3%
vs GPT-5.4 mini: ↑ 566.7%
#26

Grok 4.3
xAI

$0.509120
vs Gemini 3.5 Flash: ↑ 425.1%
vs GPT-5.4 mini: ↑ 950.2%
#27

Gemini 3.1 Pro
Google

$0.514120 (rounded ~ $0.51)
vs Gemini 3.5 Flash: ↑ 430.2%
vs GPT-5.4 mini: ↑ 960.5%
#28

Claude Fable 5.1
Anthropic

$0.632350 (rounded ~ $0.63)
vs Gemini 3.5 Flash: ↑ 552.2%
vs GPT-5.4 mini: ↑ 1204.4%
#29

Claude Mythos 5.1
Anthropic

$0.632350 (rounded ~ $0.63)
vs Gemini 3.5 Flash: ↑ 552.2%
vs GPT-5.4 mini: ↑ 1204.4%
#30

o3 Deep Research
OpenAI

$0.641400 (rounded ~ $0.64)
vs Gemini 3.5 Flash: ↑ 561.5%
vs GPT-5.4 mini: ↑ 1223%
#31

GPT-5.4
OpenAI

$0.642650 (rounded ~ $0.64)
vs Gemini 3.5 Flash: ↑ 562.8%
vs GPT-5.4 mini: ↑ 1225.6%
#32

GPT-5.4 Thinking
OpenAI

$0.642650 (rounded ~ $0.64)
vs Gemini 3.5 Flash: ↑ 562.8%
vs GPT-5.4 mini: ↑ 1225.6%
#33

Claude Fable 5
Anthropic

$0.643900 (rounded ~ $0.64)
vs Gemini 3.5 Flash: ↑ 564.1%
vs GPT-5.4 mini: ↑ 1228.2%
#34

Claude Mythos 5
Anthropic

$0.643900 (rounded ~ $0.64)
vs Gemini 3.5 Flash: ↑ 564.1%
vs GPT-5.4 mini: ↑ 1228.2%
#35

o3 Pro
OpenAI

$1.282800 (rounded ~ $1.28)
vs Gemini 3.5 Flash: ↑ 1223%
vs GPT-5.4 mini: ↑ 2546%
#36

GPT-5.5
OpenAI

$1.285300 (rounded ~ $1.29)
vs Gemini 3.5 Flash: ↑ 1225.6%
vs GPT-5.4 mini: ↑ 2551.2%
#37

GPT-5.2 Pro
OpenAI

$1.367940 (rounded ~ $1.37)
vs Gemini 3.5 Flash: ↑ 1310.8%
vs GPT-5.4 mini: ↑ 2721.7%
#38

GPT-6 Astra
OpenAI

$2.575600 (rounded ~ $2.58)
vs Gemini 3.5 Flash: ↑ 2556.4%
vs GPT-5.4 mini: ↑ 5212.7%
#39

GPT-6 Astra
OpenAI

$2.575600 (rounded ~ $2.58)
vs Gemini 3.5 Flash: ↑ 2556.4%
vs GPT-5.4 mini: ↑ 5212.7%
✨ 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.

For developers building storyboard tools, the choice between Gemini 3.5 Flash and GPT-5.4 mini often hinges on your specific multimodal pipeline requirements. Both models excel at vision-based tasks, making them ideal for interpreting rough sketches or generated storyboard frames. Gemini 3.5 Flash is particularly adept at handling multi-step agentic workflows where your app needs to do more than just caption; it can reason about the scene, suggest camera angles, or verify visual consistency across a sequence of frames. Its tight integration into Google’s agentic framework makes it a strong contender if your storyboard app plans to incorporate proactive planning agents.

GPT-5.4 mini, conversely, shines as a highly efficient, low-latency engine for high-volume batch processing. If your app’s primary value is rapid, repetitive captioning of large catalogs of frames, GPT-5.4 mini provides a balance of speed and reliability that is hard to beat. It is optimized for responsiveness, which is critical for a mobile experience where users expect near-instant feedback when they upload or generate content. While both models handle image inputs effectively, developers often find that Gemini 3.5 Flash offers slightly more nuance in visual interpretation for complex scenes, whereas GPT-5.4 mini is the superior choice for simple, high-throughput tasks where minimizing latency is the ultimate goal. Choosing between them depends on whether your app prioritizes deep visual reasoning or sheer execution speed.

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.