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

GPT-5.4 mini vs Gemini 3.1 Flash Lite
Complete Comparison: 1,000 input tokens × 500 output tokens
Comparison Mode
🖼️ 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
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.

Select AI Model

GPT-5.4 mini
OpenAIMax Context: 400,000 tokens
$0.75 / $4.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
25%
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

$0.750520 Total Cost
$0.725766 Input Cost
$0.000563 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
5,161,500Total Tokens
$0.000145Cost per 1K
6,877,229Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

178m 56s Processing Time
500 Tokens/Second
180ms Time to First Token
481 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.

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.

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.

✨ 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
🥈 Claude Haiku 4.6
Anthropic
 $0.250142 ↓ 66.7% cheaper ↓ 0% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.250173 ↓ 66.7% cheaper Same price
#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 o4-mini Deep Research
OpenAI
 $1.000444 ↑ 33.3% more ↑ 299.9% more
#7 o4-mini
OpenAI
 $1.100488 ↑ 46.6% more ↑ 339.9% more
#8 GPT-5.2
OpenAI
 $1.751652 (rounded ~ $1.75) ↑ 133.4% more ↑ 600.2% more
#9 GPT-5.3 Codex Spark
OpenAI
 $1.751652 (rounded ~ $1.75) ↑ 133.4% more ↑ 600.2% more
#10 GPT-5.3 Instant
OpenAI
 $1.751652 (rounded ~ $1.75) ↑ 133.4% more ↑ 600.2% more
#11 Gemini 3.1 Flash
Google
 $2.001388 (rounded ~ $2.00) ↑ 166.7% more ↑ 700% more
#12 Claude Sonnet 4.6
Anthropic
 $3.001706 (rounded ~ $3.00) ↑ 300% more ↑ 1099.9% more
#13 Grok 4
xAI
 $3.001706 (rounded ~ $3.00) ↑ 300% more ↑ 1099.9% more
#14 Claude Opus 4.7
Anthropic
 $5.002844 (rounded ~ $5.00) ↑ 566.6% more ↑ 1899.8% more
#15 Claude Opus 4.6
Anthropic
 $5.002844 (rounded ~ $5.00) ↑ 566.6% more ↑ 1899.8% more
#16 Gemini 2.5 Pro
Google
 $5.003469 (rounded ~ $5.00) ↑ 566.7% more ↑ 1900% more
#17 Gemini 3.1 Pro
Google
 $8.004050 (rounded ~ $8.00) ↑ 966.5% more ↑ 3099.4% more
#18 o3 Deep Research
OpenAI
 $10.004438 (rounded ~ $10.00) ↑ 1233% more ↑ 3899% more
#19 GPT-5.4
OpenAI
 $10.005063 (rounded ~ $10.01) ↑ 1233.1% more ↑ 3899.3% more
#20 GPT-5.4 Thinking
OpenAI
 $10.005063 (rounded ~ $10.01) ↑ 1233.1% more ↑ 3899.3% more
#21 o3 Pro
OpenAI
 $20.008875 (rounded ~ $20.01) ↑ 2566% more ↑ 7898% more
#22 GPT-5.5
OpenAI
 $20.010125 ↑ 2566.2% more ↑ 7898.5% more
#23 GPT-5.2 Pro
OpenAI
 $21.019819 ↑ 2700.7% more ↑ 8302.1% more
#24 GPT-5.2 Pro
OpenAI
 $21.019819 ↑ 2700.7% more ↑ 8302.1% more
🏆

Mistral Small 3
Mistral AI

$0.100032
vs GPT-5.4 mini: ↓ 86.7%
vs Gemini 3.1 Flash Lite: ↓ 60%
🥈

Claude Haiku 4.6
Anthropic

$0.250142
vs GPT-5.4 mini: ↓ 66.7%
vs Gemini 3.1 Flash Lite: ↓ 0%
🥉

Gemini 3.1 Flash Lite
Google

$0.250173
vs GPT-5.4 mini: ↓ 66.7%
vs Gemini 3.1 Flash Lite: Same
#4

Gemini 2.5 Flash
Google

$0.300296
vs GPT-5.4 mini: ↓ 60%
vs Gemini 3.1 Flash Lite: ↑ 20%
#5

Mistral Large 3
Mistral AI

$0.500409
vs GPT-5.4 mini: ↓ 33.3%
vs Gemini 3.1 Flash Lite: ↑ 100%
#6

o4-mini Deep Research
OpenAI

$1.000444
vs GPT-5.4 mini: ↑ 33.3%
vs Gemini 3.1 Flash Lite: ↑ 299.9%
#7

o4-mini
OpenAI

$1.100488
vs GPT-5.4 mini: ↑ 46.6%
vs Gemini 3.1 Flash Lite: ↑ 339.9%
#8

GPT-5.2
OpenAI

$1.751652 (rounded ~ $1.75)
vs GPT-5.4 mini: ↑ 133.4%
vs Gemini 3.1 Flash Lite: ↑ 600.2%
#9

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%
#10

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%
#11

Gemini 3.1 Flash
Google

$2.001388 (rounded ~ $2.00)
vs GPT-5.4 mini: ↑ 166.7%
vs Gemini 3.1 Flash Lite: ↑ 700%
#12

Claude Sonnet 4.6
Anthropic

$3.001706 (rounded ~ $3.00)
vs GPT-5.4 mini: ↑ 300%
vs Gemini 3.1 Flash Lite: ↑ 1099.9%
#13

Grok 4
xAI

$3.001706 (rounded ~ $3.00)
vs GPT-5.4 mini: ↑ 300%
vs Gemini 3.1 Flash Lite: ↑ 1099.9%
#14

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%
#15

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%
#16

Gemini 2.5 Pro
Google

$5.003469 (rounded ~ $5.00)
vs GPT-5.4 mini: ↑ 566.7%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#17

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%
#18

o3 Deep Research
OpenAI

$10.004438 (rounded ~ $10.00)
vs GPT-5.4 mini: ↑ 1233%
vs Gemini 3.1 Flash Lite: ↑ 3899%
#19

GPT-5.4
OpenAI

$10.005063 (rounded ~ $10.01)
vs GPT-5.4 mini: ↑ 1233.1%
vs Gemini 3.1 Flash Lite: ↑ 3899.3%
#20

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%
#21

o3 Pro
OpenAI

$20.008875 (rounded ~ $20.01)
vs GPT-5.4 mini: ↑ 2566%
vs Gemini 3.1 Flash Lite: ↑ 7898%
#22

GPT-5.5
OpenAI

$20.010125
vs GPT-5.4 mini: ↑ 2566.2%
vs Gemini 3.1 Flash Lite: ↑ 7898.5%
#23

GPT-5.2 Pro
OpenAI

$21.019819
vs GPT-5.4 mini: ↑ 2700.7%
vs Gemini 3.1 Flash Lite: ↑ 8302.1%
#24

GPT-5.2 Pro
OpenAI

$21.019819
vs GPT-5.4 mini: ↑ 2700.7%
vs Gemini 3.1 Flash Lite: ↑ 8302.1%
✨ 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.