Cost to analyze 1000 architectural photos AI

Complete Analysis: 1,129,000 tokens for gemini-2-5-pro
🖼️ 1000 Images ⚡ 40% Cached

Complete analysis of pricing, performance, and use cases for Google's gemini-2-5-pro model with 1000 Images, 40% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$1.379000 Total Cost
1,129,000 Total Tokens
43 minutes, 29.00 seconds Processing Time
433 Effective Tokens/Sec

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
$0.520280Total Cost
$1.079000Input Cost
$0.250000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
1,129,000Total Tokens
$0.000461Cost per 1K
2,169,985Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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43m 29sProcessing Time
450Tokens/Second
180msTime to First Token
433Effective 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-pro Google 2000000

$1.379000
Total Cost
🖼️ 1000 Image (High) ⚡ 40% 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

Base Cost (No Optimizations) $1.379000 Input: $1.079000 (rounded ~ 1.08)
Output: $0.250000
Optimized Cost $1.379000 Input: $1.079000 (rounded ~ 1.08)
Output: $0.250000
Unit: $0.000000
Fees: $0.050000
Total Savings $0.858720 (rounded ~ 0.86) 62.3% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
774,000 tokens
📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 1000
Resolution: High
Tokens: 774,000
Cost: $0.000000

Detailed Cost Analysis

For 305,000 input tokens and 50,000 output tokens:

  • Input Cost: $1.079000 (rounded ~ 1.08)
  • Output Cost: $0.250000
  • Service Fees: $0.050000
  • Total Cost: $1.379000
  • Cost per 1K tokens: $0.000461
  • Tokens per dollar: 2,169,985 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: 43 minutes, 29.00 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 433 tokens/second (temperature-adjusted)

Best Use Cases

ArchitectureDesignConstructionBIM

Architectural Image Analysis Pricing

Large-scale analysis of architectural photographs for design review and documentation. Optimized for batch processing.

Analysis Parameters

  • Images: 1000 high-resolution photos
  • Resolution: High (255 tokens each)
  • Total Image Tokens: 255,000
  • Analysis Output: 50,000 tokens
  • Batch API: Enabled for efficiency
  • Cache: 40% repeated elements

Architecture Applications

Design review, compliance checking, progress documentation, material analysis, BIM integration.

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.