Multimodal E-commerce Content: Video + Text SEO Cost

Complete Analysis: 63,908 tokens for gemini-2-5-flash
🖼️ 12 Images 🎥 60s Video ⚡ 70% Cached

Complete analysis of pricing, performance, and use cases for Google's gemini-2-5-flash model with 12 Images, 60s Video, 70% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.173908 (rounded ~ 0.17) Total Cost
63,908 Total Tokens
1 minute, 54.00 seconds Processing Time
561 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
$0.096548Total Cost
$0.048908Input Cost
$0.075000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
63,908Total Tokens
$0.001511Cost per 1K
661,930Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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1m 54sProcessing Time
600Tokens/Second
120msTime to First Token
561Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
70%
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

$0.173908 (rounded ~ 0.17)
Total Cost
🖼️ 12 Image (High) 🎥 60s Video (720p) ⚡ 70% 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) $0.173908 (rounded ~ 0.17) Input: $0.048908 (rounded ~ 0.05)
Output: $0.075000 (rounded ~ 0.08)
Optimized Cost $0.173908 (rounded ~ 0.17) Input: $0.048908 (rounded ~ 0.05)
Output: $0.075000 (rounded ~ 0.08)
Unit: $0.000000
Fees: $0.050000
Total Savings $0.077360 (rounded ~ 0.08) 44.5% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
25,068 tokens
📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 12
Resolution: High
Tokens: 9,288
Cost: $0.000000
🎥 Video
Duration: 60 seconds
Quality: 720p
Cost: $0.000000

Detailed Cost Analysis

For 23,840 input tokens and 15,000 output tokens:

  • Input Cost: $0.048908 (rounded ~ 0.05)
  • Output Cost: $0.075000 (rounded ~ 0.08)
  • Service Fees: $0.050000
  • Total Cost: $0.173908 (rounded ~ 0.17)
  • Cost per 1K tokens: $0.001511 (rounded ~ 0.00)
  • Tokens per dollar: 661,930 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: 1 minute, 54.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 561 tokens/second (temperature-adjusted)

Best Use Cases

E-commerceSEOVideo MarketingContent Production

Retail Content Generation at Scale & Marketing Economics

Generating comprehensive SEO-optimized product descriptions, engaging video scripts, and social media content from raw manufacturing footage and product photography. This 2026 analysis covers the complete content production pipeline for e-commerce platforms, factoring in batch processing efficiencies, caching benefits for product categories, and the integrated multimodal capabilities of modern AI models.

Production Workflow & Content Parameters

  • Product Video Processing: 60 seconds of raw manufacturing/usage footage
  • Video Tokenization: 15,780 tokens (263 per second at medium resolution)
  • Product Photos: 12 high-res marketing images (255 tokens each at high resolution)
  • Image Tokens: 3,060 total for visual analysis
  • Brand Guidelines: 5,000 tokens of style guides and tone specifications
  • Content Output: SEO blog post (8K tokens), 3 video scripts (6K tokens), 50 SEO tags (1K tokens)
  • Total Output: ~15,000 tokens of polished marketing content
  • Batch Mode: Enabled for processing 1000+ product catalogs efficiently
  • Cache Efficiency: 70% for repeated product categories and brand elements

Marketing Applications & E-commerce ROI

Amazon/Shopify product listing optimization at scale, social media content automation pipelines, global catalog management and localization, seasonal marketing campaign generation. This calculator helps e-commerce managers budget for AI content production, comparing the cost-effectiveness of Gemini Flash’s speed against more expensive models, while demonstrating the significant time and cost savings compared to traditional content creation methods.

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.