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
🖼️ 1000 Images 🎥 3600s Video ⚡ 60% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1000 Images, 3600s Video, 60% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings)
Comparison Criteria gemini-3-1-pro
Google
gpt-5.2-pro
OpenAI
Calculation Results (Current Inputs) (1000 images, 3600s video (24fps), 60% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 50,000 50,000
Cost Breakdown
Input Cost $10.883200 (rounded ~ 10.88)Best $37.254000 (rounded ~ 37.25)Worst
Output Cost $0.900000Best $8.400000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $5.906272 (rounded ~ 5.91) Best Value $25.536840 (rounded ~ 25.54) Most Expensive
Processing Time 2 hours, 2 minutes, 22.00 seconds Slowest 1 hour, 32 minutes, 4.00 seconds Fastest
Tokens per Second 400Fastest 350Slowest
Time to First Token 220ms Best 250ms Worst
Cost per 1K tokens $0.002132 (rounded ~ 0.00)Best $0.014000 (rounded ~ 0.01)Worst
Tokens per Dollar 469,128Best Value 71,426Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $4.000000Best $21.000000Worst
Output Cost / 1M (Base) $18.000000Best $168.000000Worst
Input Cost / 1M (Optimized) $4.000000Best
Optimizations: No optimizations applied
$21.000000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $18.000000Best
Optimizations: No optimizations applied
$168.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support
1000
✓ Supported ✓ Supported
Video Support
3600 (24fps)
✓ Supported ✗ Not Supported requested
Audio Support ✓ Supported ✗ Not Supported
Caching Support
60
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.

Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 2,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
60%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$5.906272 Total Cost
$4.353280 Input Cost
$0.900000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,770,800Total Tokens
$0.002132Cost per 1K
469,128Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

122m 22s Processing Time
400 Tokens/Second
220ms Time to First Token
377 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after
🧠 Reasoning & Thinking
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing
📊 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

$5.906272 (rounded ~ 5.91)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.
🖼️ 1000 Image (High) 🎥 3600s Video (720p) ⚡ 60% Cached 🔧 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 (from Plugin)

Base Cost (No Optimizations) $11.783200 (rounded ~ 11.78) Input: $10.883200 (rounded ~ 10.88)
Output: $0.900000
Optimized Cost $5.906272 (rounded ~ 5.91) Input: $10.883200 (rounded ~ 10.88)
Output: $0.900000
Unit: $0.000000
Fees: $0.000000
Total Savings $5.876928 (rounded ~ 5.88) 49.9% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
1,720,800 tokens
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🖼️ Images
Count: 1000
Resolution: High
Tokens: 774,000
Cost: $0.000000
🎥 Video
Duration: 3600 seconds
Quality: 720p
FPS: 24fps
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $10.883200 (rounded ~ 10.88)
  • Output Cost: $0.900000
  • Total Cost: $5.906272 (rounded ~ 5.91)
  • Cost per 1K tokens: $0.002132 (rounded ~ 0.00)
  • Tokens per dollar: 469,128 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 (temperature-adjusted)

Best Use Cases

Video EditingSurveillance AIVisual QA

gpt-5.2-pro OpenAI

$25.536840 (rounded ~ 25.54)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.
🖼️ 1000 Image (High) 🎥 3600s Video (720p) ⚡ 60% Cached 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available requested
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $45.654000 (rounded ~ 45.65) Input: $37.254000 (rounded ~ 37.25)
Output: $8.400000
Optimized Cost $25.536840 (rounded ~ 25.54) Input: $37.254000 (rounded ~ 37.25)
Output: $8.400000
Unit: $0.000000
Fees: $0.000000
Total Savings $20.117160 (rounded ~ 20.12) 44.1% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
774,000 tokens

Multimodal Input Details

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

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $37.254000 (rounded ~ 37.25)
  • Output Cost: $8.400000
  • Total Cost: $25.536840 (rounded ~ 25.54)
  • Cost per 1K tokens: $0.014000 (rounded ~ 0.01)
  • Tokens per dollar: 71,426 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 (temperature-adjusted)

Best Use Cases

Video EditingSurveillance AIVisual QA

✨ Market Recommendations AI Model Registry

← Back to gemini-3-1-pro
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 50,000
Cached Tokens: 60%
Images: 1000 (High Resolution)
Video: 3600 seconds (720p)
Tools: Enabled
Rank AI Model & Provider Total Cost vs gemini-3-1-pro vs gpt-5.2-pro
🏆 Grok 5
xAI
 $4.504704 (rounded ~ 4.50) Best Value ↓ 23.7% cheaper ↓ 82.4% cheaper
🏆

Grok 5
xAI

$4.504704 (rounded ~ 4.50)
vs gemini-3-1-pro: ↓ 23.7%
vs gpt-5.2-pro: ↓ 82.4%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

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. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider 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). 60fps content may incur a 25% surcharge.
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.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.