AI Architecture & BIM: 3D Model Logic Processing Cost

Complete Analysis: 263,450 tokens for gpt-5
🖼️ 50 Images ⚡ 25% Cached 🔍 10,000 Embedding Tokens

Complete analysis of pricing, performance, and use cases for OpenAI's gpt-5 model with 50 Images, 25% Cached, 10,000 Embedding Tokens.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings)
$0.658038 (rounded ~ 0.66) Total Cost
263,450 Total Tokens
9 minutes, 57.00 seconds Processing Time
441 Effective Tokens/Sec

Select AI Model

Gpt 5
OpenAIMax Context: 400,000 tokens
Input: $1.750000 / 1M
Output: $14.000000 / 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
$0.559029Total Cost
$0.440038Input Cost
$0.168000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
263,450Total Tokens
$0.002122Cost per 1K
471,264Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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9m 57sProcessing Time
450Tokens/Second
200msTime 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
25%
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

gpt-5 OpenAI

$0.658038 (rounded ~ 0.66)
Total Cost
🖼️ 50 Image (High) ⚡ 25% Cached 🔧 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

Base Cost (No Optimizations) $0.658038 (rounded ~ 0.66) Input: $0.440038
Output: $0.168000 (rounded ~ 0.17)
Optimized Cost $0.658038 (rounded ~ 0.66) Input: $0.440038
Output: $0.168000 (rounded ~ 0.17)
Unit: $0.000000
Fees: $0.050000
Total Savings $0.099008 15.0% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
38,700 tokens
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 50
Resolution: High
Tokens: 38,700
Cost: $0.000000

Detailed Cost Analysis

For 212,750 input tokens and 12,000 output tokens:

  • Input Cost: $0.440038
  • Output Cost: $0.168000 (rounded ~ 0.17)
  • Service Fees: $0.050000
  • Total Cost: $0.658038 (rounded ~ 0.66)
  • Cost per 1K tokens: $0.002122 (rounded ~ 0.00)
  • Tokens per dollar: 471,264 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: 9 minutes, 57.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

ArchitectureConstructionBIMDigital TwinsQuality Control

Industrial AEC Cost Analysis & Digital Construction Economics

Calculating the comprehensive costs of processing Building Information Modeling (BIM) data, high-resolution construction site photography, and architectural schematics for automated progress tracking, quality control, and digital twin synchronization. This specialized calculator addresses the unique requirements of architecture, engineering, and construction (AEC) industries moving toward fully AI-integrated workflows in 2026.

AEC Setup & Construction Parameters

  • Site 360 Photography: 50 high-resolution construction progress images
  • Image Tokenization: 12,750 tokens (255 each at high resolution)
  • BIM Schema & Documentation: 200,000 tokens of architectural specifications
  • Progress Analysis Output: 12,000 tokens of detailed construction reports
  • Total Input Processing: ~212,750 tokens of multimodal construction data
  • Tool Usage: Enabled for CAD software integration and version control
  • Fine-tuning Considerations: Architectural style guides and regulatory compliance
  • Embedding Tokens: 10,000 for vectorization of standard building components
  • Cache Efficiency: 25% for repeated architectural elements and materials

Construction Workflows & Digital Transformation Value

Automated quality control and defect detection systems, real-time construction progress tracking and reporting, safety compliance monitoring through visual analysis, digital twin synchronization and maintenance. This calculator helps construction firms and architectural practices budget for AI integration, highlighting the premium capabilities of advanced models for complex spatial reasoning while demonstrating practical cost optimizations through batch processing and strategic caching.

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 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.