Multimodal Content Moderation: Analysis Cost Comparison

gpt-5 vs gemini-2.5-pro
Complete Comparison: 50,000 input tokens × 20,000 output tokens
Comparison Mode (Custom field comparison)
🖼️ 50 Images

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50 Images.

🖼️ Multimodal Input 📊 Batch API
Comparison Criteria gpt-5
OpenAI
gemini-2.5-pro
Google
Input Parameters Applied (50 images)
Input Tokens 50,000 50,000
Output Tokens 20,000 20,000
Calculation Results
Input Cost $0.132650 (rounded ~ 0.13) Worst $0.100000 Best
Output Cost $0.280000 Worst $0.240000 Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $0.462650 (rounded ~ 0.46) Most Expensive $0.390000 Best Value
Processing Time 3 minutes, 43.00 seconds Slowest 2 minutes, 27.00 seconds Fastest
Tokens per Second 450 Slowest 500 Fastest
Time to First Token 200ms 200ms
Cost per 1K tokens $0.002676 (rounded ~ 0.00) Best $0.005571 (rounded ~ 0.01) Worst
Tokens per Dollar 373,744 Best Value 179,487 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $1.750000 Best $2.000000 Worst
Output Cost / 1M (Base) $14.000000 Worst $12.000000 Best
Input Cost / 1M (Optimized) $0.875000 (rounded ~ 0.88) Best
Optimizations: 50.0% batch
$2.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $7.000000 Best
Optimizations: 50.0% batch
$12.000000 Worst
Optimizations: No optimizations applied
Capabilities
Images Support
50 images
✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Enabled ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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Second Model

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All other parameters will be preserved from the current comparison.

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
$0.256325Total Cost
$0.132650Input Cost
$0.280000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
95,800Total Tokens
$0.002676Cost per 1K
373,744Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
3m 43sProcessing Time
450Tokens/Second
200msTime to First Token
429Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
0%
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.

gpt-5 OpenAI

$0.462650 (rounded ~ 0.46)
Total Cost
🖼️ 50 Image (Medium) 📊 Batch API 🔧 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) $0.462650 (rounded ~ 0.46) Input: $0.132650 (rounded ~ 0.13)
Output: $0.280000
Optimized Cost $0.462650 (rounded ~ 0.46) Input: $0.132650 (rounded ~ 0.13)
Output: $0.280000
Unit: $0.000000
Fees: $0.050000
Total Savings $0.206325 (rounded ~ 0.21) 44.6% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
25,800 tokens
📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 50
Resolution: Medium
Tokens: 25,800
Cost: $0.000000

Detailed Cost Analysis

For 50,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.132650 (rounded ~ 0.13)
  • Output Cost: $0.280000
  • Service Fees: $0.050000
  • Total Cost: $0.462650 (rounded ~ 0.46)
  • Cost per 1K tokens: $0.002676 (rounded ~ 0.00)
  • Tokens per dollar: 373,744 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: 3 minutes, 43.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 429 tokens/second (temperature-adjusted)

Best Use Cases

Content moderationSafetyPlatform management

gemini-2.5-pro Google 2000000

$0.390000
Total Cost
🖼️ 50 Image (Medium) 📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.390000 Input: $0.100000
Output: $0.240000
Optimized Cost $0.390000 Input: $0.100000
Output: $0.240000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 50,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.100000
  • Output Cost: $0.240000
  • Service Fees: $0.050000
  • Total Cost: $0.390000
  • Cost per 1K tokens: $0.005571 (rounded ~ 0.01)
  • Tokens per dollar: 179,487 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 2 minutes, 27.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second (temperature-adjusted)

Best Use Cases

Content moderationSafetyPlatform management

Content Moderation Cost Analysis 2026

Comparing models for image and text content moderation at scale.

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).
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.