Real Estate AI Cost: Property Image + Virtual Tour Analysis

Complete Analysis: 629,420 tokens for gemini-2-5-flash
🖼️ 30 Images 🎥 600s Video ⚡ 40% Cached

Complete analysis of pricing, performance, and use cases for Google's gemini-2-5-flash model with 30 Images, 600s Video, 40% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings)
$0.729420 Total Cost
629,420 Total Tokens
18 minutes, 32.00 seconds Processing Time
566 Effective Tokens/Sec

Select AI Model

Gemini 2.5 Flash
GoogleMax Context: 1,000,000 tokens
Input: $1.000000 / 1M
Output: $5.000000 / 1M

Calculate Token Costs

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Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$0.511829Total Cost
$0.604420Input Cost
$0.125000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
629,420Total Tokens
$0.000813Cost per 1K
1,229,747Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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18m 32sProcessing Time
600Tokens/Second
120msTime to First Token
566Effective Speed

Model Comparison

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Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
40%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown

gemini-2-5-flash Google 1000000

$0.729420
Total Cost
🖼️ 30 Image (High) 🎥 600s Video (720p) ⚡ 40% Cached
👁️
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

Base Cost (No Optimizations) $0.729420 Input: $0.604420 (rounded ~ 0.60)
Output: $0.125000 (rounded ~ 0.13)
Optimized Cost $0.729420 Input: $0.604420 (rounded ~ 0.60)
Output: $0.125000 (rounded ~ 0.13)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.217591 (rounded ~ 0.22) 29.8% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
181,020 tokens

Multimodal Input Details

🖼️ Images
Count: 30
Resolution: High
Tokens: 23,220
Cost: $0.000000
🎥 Video
Duration: 600 seconds
Quality: 720p
Cost: $0.000000

Detailed Cost Analysis

For 423,400 input tokens and 25,000 output tokens:

  • Input Cost: $0.604420 (rounded ~ 0.60)
  • Output Cost: $0.125000 (rounded ~ 0.13)
  • Total Cost: $0.729420
  • Cost per 1K tokens: $0.000813
  • Tokens per dollar: 1,229,747 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 600 tokens per second and 120ms time to first token:

  • Processing Time: 18 minutes, 32.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 566 tokens/second (temperature-adjusted)

Best Use Cases

Real estateProperty analysisVirtual tours

Real Estate Technology Economics

Calculating costs for property analysis including images and virtual tours.

Property Setup

  • Property photos: 30 images
  • Virtual tour: 10 minutes video
  • Total multimodal tokens: 398,400
  • Property report: 25,000 tokens
  • Cache: 40% similar properties

Real Estate Applications

Property valuation, virtual staging, market analysis, listing optimization.

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.
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 is video pricing calculated?
Video processing uses either token-based billing (263 tokens per second) or duration-based billing for video generation models like Veo ($0.15-0.75 per second depending on resolution).
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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 44+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), and provides optimization recommendations.