AI-Driven BIM Progress: 100-Site Construction Tracking

gemini-2-5-pro vs gpt-5
Complete Comparison: 1,510,000 input tokens × 1,000,000 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with multimodal input and caching optimization .

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria gemini-2-5-pro
Google
gpt-5
OpenAI
Input Parameters Applied (2000 images, 600s video, 40% cached)
Input Tokens 1,510,000 1,510,000
Output Tokens 1,000,000 1,000,000
Calculation Results
Input Cost $3.215800 (rounded ~ 3.22) Best $5.351500 (rounded ~ 5.35) Worst
Output Cost $5.000000 Best $14.000000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $8.265800 (rounded ~ 8.27) Best Value $19.401500 (rounded ~ 19.40) Most Expensive
Processing Time 2 hours, 39 minutes, 15.00 seconds Slowest 2 hours, 33 minutes, 18.00 seconds Fastest
Tokens per Second 450 450
Time to First Token 180ms Best 200ms Worst
Cost per 1K tokens $0.000849 Best $0.002159 (rounded ~ 0.00) Worst
Tokens per Dollar 1,177,908 Best Value 463,111 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $1.000000 Best $1.750000 Worst
Output Cost / 1M (Base) $5.000000 Best $14.000000 Worst
Input Cost / 1M (Optimized) $0.500000 Best
Optimizations: 50.0% batch
$0.875000 (rounded ~ 0.88) Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $2.500000 Best
Optimizations: 50.0% batch
$7.000000 Worst
Optimizations: 50.0% batch
Capabilities
Images Support
2000 images
✓ Supported ✓ Supported
Video Support
600 seconds
✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Enabled ✓ Enabled
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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🔄 Compare Different AI Models

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First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 2,000,000 tokens.

Select AI Model

Gemini 2.5 Pro
GoogleMax Context: 2,000,000 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
$3.579056Total Cost
$3.215800Input Cost
$5.000000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
4,215,800Total Tokens
$0.000849Cost per 1K
1,177,908Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
159m 15sProcessing Time
450Tokens/Second
180msTime to First Token
441Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

gemini-2-5-pro Google 2000000

$8.265800 (rounded ~ 8.27)
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 2,000,000 tokens.
👁️
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) $8.265800 (rounded ~ 8.27) Input: $3.215800 (rounded ~ 3.22)
Output: $5.000000
Optimized Cost $8.265800 (rounded ~ 8.27) Input: $3.215800 (rounded ~ 3.22)
Output: $5.000000
Unit: $0.000000
Fees: $0.050000
Total Savings $4.686744 (rounded ~ 4.69) 56.7% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
1,705,800 tokens
📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 2000
Resolution: High
Tokens: 1,548,000
Cost: $0.000000
🎥 Video
Duration: 600 seconds
Quality: 720p
Cost: $0.000000

Detailed Cost Analysis

For 1,510,000 input tokens and 1,000,000 output tokens:

  • Input Cost: $3.215800 (rounded ~ 3.22)
  • Output Cost: $5.000000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $8.265800 (rounded ~ 8.27)
  • Cost per 1K tokens: $0.000849
  • Tokens per dollar: 1,177,908 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 180ms time to first token:

  • Processing Time: 2 hours, 39 minutes, 15.00 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second

Best Use Cases

ConstructionBIMAECReal Estate

gpt-5 OpenAI

$19.401500 (rounded ~ 19.40)
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 400,000 tokens.
👁️
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

Base Cost (No Optimizations) $19.401500 (rounded ~ 19.40) Input: $5.351500 (rounded ~ 5.35)
Output: $14.000000
Optimized Cost $19.401500 (rounded ~ 19.40) Input: $5.351500 (rounded ~ 5.35)
Output: $14.000000
Unit: $0.000000
Fees: $0.050000
Total Savings $10.639020 54.8% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
1,548,000 tokens
📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 2000
Resolution: High
Tokens: 1,548,000
Cost: $0.000000

Detailed Cost Analysis

For 1,510,000 input tokens and 1,000,000 output tokens:

  • Input Cost: $5.351500 (rounded ~ 5.35)
  • Output Cost: $14.000000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $19.401500 (rounded ~ 19.40)
  • Cost per 1K tokens: $0.002159 (rounded ~ 0.00)
  • Tokens per dollar: 463,111 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 2 hours, 33 minutes, 18.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second

Best Use Cases

ConstructionBIMAECReal Estate

Digital Twin Synchronization & Field Intelligence Economics

Analyzing the costs of processing daily 360 photography and drone footage across 100 construction sites to update Building Information Modeling (BIM) digital twins automatically.

Site Data Parameters

  • Sites: 100 active construction projects
  • Daily Imagery: 20 high-res photos per site (2,000 total)
  • Image Tokens: 510,000 tokens of visual site data daily
  • BIM Schema: 1M tokens of structural specifications
  • Output: Automated progress reports + anomaly alerts (1M tokens)
  • Visual Reasoning: Detecting discrepancies between BIM and reality

Infrastructure & AEC ROI

Preventing construction rework, real-time safety auditing, and automated billing verification based on physical progress. Compares Gemini 2.5 Pro’s multimodal speed against GPT-5 Vision.

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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.