Gemini 3 Pro vs GPT-5.2 Pro: Video & Multimodal ROI

gemini-3-1-pro vs gpt-5.2-pro
Complete Comparison: 1,000,000 input tokens × 50,000 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)
Comparison Criteria gemini-3-1-pro
Google
gpt-5.2-pro
OpenAI
Input Parameters Applied (1000 images, 3600s video, 60% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 50,000 50,000
Calculation Results
Input Cost $2.720800 Best $26.610000 Worst
Output Cost $0.250000 Best $6.000000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $3.020800 Best Value $32.660000 Most Expensive
Processing Time 2 hours, 2 minutes, 22.00 seconds Slowest 1 hour, 32 minutes, 4.00 seconds Fastest
Tokens per Second 400 Fastest 350 Slowest
Time to First Token 220ms Best 250ms Worst
Cost per 1K tokens $0.000560 Best $0.010028 Worst
Tokens per Dollar 1,785,806 Best Value 99,723 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $1.000000 Best $15.000000 Worst
Output Cost / 1M (Base) $5.000000 Best $120.000000 Worst
Input Cost / 1M (Optimized) $1.000000 Best
Optimizations: No optimizations applied
$15.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $5.000000 Best
Optimizations: No optimizations applied
$120.000000 Worst
Optimizations: No optimizations applied
Capabilities
Images Support
1000 images
✓ Supported ✓ Supported
Video Support
3600 seconds
✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support Available Available
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

1

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 3.1 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
$1.551568Total Cost
$2.720800Input Cost
$0.250000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
2,770,800Total Tokens
$0.000560Cost per 1K
1,785,806Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
122m 22sProcessing Time
400Tokens/Second
220msTime to First Token
377Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
60%
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-3-1-pro Google 2000000

$3.020800
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) $3.020800 Input: $2.720800
Output: $0.250000
Optimized Cost $3.020800 Input: $2.720800
Output: $0.250000
Unit: $0.000000
Fees: $0.050000
Total Savings $1.469232 48.6% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
1,720,800 tokens
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 1000
Resolution: High
Tokens: 774,000
Cost: $0.000000
🎥 Video
Duration: 3600 seconds
Quality: 720p
Cost: $0.000000

Detailed Cost Analysis

For 1,000,000 input tokens and 50,000 output tokens:

  • Input Cost: $2.720800
  • Output Cost: $0.250000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $3.020800
  • Cost per 1K tokens: $0.000560
  • Tokens per dollar: 1,785,806 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 2 hours, 2 minutes, 22.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 377 tokens/second

Best Use Cases

Video EditingSurveillance AIVisual QA

gpt-5.2-pro OpenAI

$32.660000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 128,000 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) $32.660000 Input: $26.610000
Output: $6.000000
Optimized Cost $32.660000 Input: $26.610000
Output: $6.000000
Unit: $0.000000
Fees: $0.050000
Total Savings $14.369400 44.0% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
774,000 tokens
💻 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 1,000,000 input tokens and 50,000 output tokens:

  • Input Cost: $26.610000
  • Output Cost: $6.000000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $32.660000
  • Cost per 1K tokens: $0.010028
  • Tokens per dollar: 99,723 tokens
  • Context Window: 128000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 1 hour, 32 minutes, 4.00 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 330 tokens/second

Best Use Cases

Video EditingSurveillance AIVisual QA

Analyzing the World in Pixels

Comparing the cost of ‘Watching’ 1 hour of video. Gemini 3 Pro uses native multimodal processing to ingest video frames directly, whereas GPT-5.2 Pro relies on a high-res image-sampling technique. Which provides better accuracy for the price?

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.