Gemini 3.1 Pro vs GPT-5.2: The Multimodal Crown

Gemini 3.1 Pro vs GPT-5.2 Pro
Complete Comparison: 1,000,000 input tokens × 1,000,000 output tokens
Comparison Mode
🖼️ 1 Image 🎥 600s Video 🎧 60min Audio

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1 Image, 600s Video, 60min Audio.

🖼️ Multimodal Input 📊 Batch API
Comparison Criteria Gemini 3.1 Pro
Google
GPT-5.2 Pro
OpenAI
Calculation Results (Current Inputs) (1 images, 600s video (24fps), 60min audio)
Input Tokens 1,000,000 1,000,000
Output Tokens 1,000,000 1,000,000
Cost Breakdown
Input Cost $2.546516 (rounded ~ 2.55)Best $5.251355 (rounded ~ 5.25)Worst
Output Cost $9.000000Best $42.000000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $11.546516 (rounded ~ 11.55) Best Value $47.251355 (rounded ~ 47.25) Most Expensive
Processing Time 1 hour, 41 minutes, 21.00 seconds Fastest 1 hour, 41 minutes, 55.00 seconds Slowest
Tokens per Second 400Fastest 350Slowest
Time to First Token 220ms Best 250ms Worst
Cost per 1K tokens $0.005079 (rounded ~ 0.01)Best $0.023623 (rounded ~ 0.02)Worst
Tokens per Dollar 196,878Best Value 42,332Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.000000Best $5.250000Worst
Output Cost / 1M (Base) $9.000000Best $42.000000Worst
Input Cost / 1M (Optimized) $1.000000Best
Optimizations: 50.0% batch
$2.625000 (rounded ~ 2.63)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $4.500000Best
Optimizations: 50.0% batch
$21.000000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
1
✓ Supported ✓ Supported
Video Support
600 (24fps)
✓ Supported ✗ Not Supported requested
Audio Support
60
✓ Supported ✗ Not Supported requested
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 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.

Click Recalculate to update after making changes

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)
0%
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

$2.546516 Input Cost
$9.000000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,273,258Total Tokens
$0.005079Cost per 1K
196,878Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

101m 21s Processing Time
400 Tokens/Second
220ms Time to First Token
374 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

$11.546516 (rounded ~ 11.55)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.
🖼️ 1 Image (4k) 🎥 600s Video (720p) 🎧 60min Audio 📊 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 (from Plugin)

Base Cost (No Optimizations) $11.546516 (rounded ~ 11.55) Input: $2.546516 (rounded ~ 2.55)
Output: $9.000000
Optimized Cost $11.546516 (rounded ~ 11.55) Input: $2.546516 (rounded ~ 2.55)
Output: $9.000000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
273,258 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: 4k
Tokens: 258
Cost: $0.000000
🎥 Video
Duration: 600 seconds
Quality: 720p
FPS: 24fps
Cost: $0.000000
🎧 Audio
Duration: 60 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $2.546516 (rounded ~ 2.55)
  • Output Cost: $9.000000
  • Total Cost: $11.546516 (rounded ~ 11.55)
  • Cost per 1K tokens: $0.005079 (rounded ~ 0.01)
  • Tokens per dollar: 196,878 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: 1 hour, 41 minutes, 21.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Video AnalysisMassive RAG

GPT-5.2 Pro OpenAI

$47.251355 (rounded ~ 47.25)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.
🖼️ 1 Image (4k) 🎥 600s Video (720p) 🎧 60min Audio 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available requested
🎥
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) $47.251355 (rounded ~ 47.25) Input: $5.251355 (rounded ~ 5.25)
Output: $42.000000
Optimized Cost $47.251355 (rounded ~ 47.25) Input: $5.251355 (rounded ~ 5.25)
Output: $42.000000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: 4k
Tokens: 258
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $5.251355 (rounded ~ 5.25)
  • Output Cost: $42.000000
  • Total Cost: $47.251355 (rounded ~ 47.25)
  • Cost per 1K tokens: $0.023623 (rounded ~ 0.02)
  • Tokens per dollar: 42,332 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, 41 minutes, 55.00 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 327 tokens/second (temperature-adjusted)

Best Use Cases

Video AnalysisMassive RAG

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Pro
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Batch API: Enabled (50% discount)
Images: 1 (4k Resolution)
Video: 600 seconds (720p)
Audio: 60 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro vs GPT-5.2 Pro
🏆 Grok 5
xAI
$4.704944 (rounded ~ 4.70) Best Value ↓ 59.3% cheaper ↓ 90% cheaper
🏆

Grok 5
xAI

$4.704944 (rounded ~ 4.70)
vs Gemini 3.1 Pro: ↓ 59.3%
vs GPT-5.2 Pro: ↓ 90%
✨ 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.

Context vs Capability

In 2026, Gemini 3.1 Pro is the undisputed champion of ‘Long-Context Multimodality,’ handling up to 2 million tokens of video, audio, and text without breaking a sweat. GPT-5.2, while having a smaller 400k window, offers superior reliability in ‘Agentic Reasoning.’ If your task is analyzing a 2-hour video, Gemini is the only choice. If your task is building a complex AI agent that uses tools to manage a business, GPT-5.2 provides fewer hallucinations and more precise tool-execution.

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 audio billing work?
Audio models use duration-based billing (minutes) rather than tokens. Voxtral Realtime: $0.006/min, Async: $0.003/min. Silence/keep-alive fees apply for GPT Realtime Mini at $0.30/1M tokens. Diarization adds $0.002/min, context biasing adds $0.01 flat fee.
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.