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 (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with multimodal input .

🖼️ Multimodal Input 📊 Batch API
Comparison Criteria Gemini 3.1 Pro
Google
GPT-5.2 Pro
OpenAI
Input Parameters Applied (1 images, 600s video, 60min audio)
Input Tokens 1,000,000 1,000,000
Output Tokens 1,000,000 1,000,000
Calculation Results
Input Cost $1.273258 (rounded ~ 1.27) Best $15.003870 (rounded ~ 15.00) Worst
Output Cost $5.000000 Best $120.000000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $6.323258 (rounded ~ 6.32) Best Value $135.053870 (rounded ~ 135.05) Most Expensive
Processing Time 1 hour, 41 minutes, 21.00 seconds Fastest 1 hour, 41 minutes, 55.00 seconds Slowest
Tokens per Second 400 Fastest 350 Slowest
Time to First Token 220ms Best 250ms Worst
Cost per 1K tokens $0.001402 (rounded ~ 0.00) Best $0.033772 (rounded ~ 0.03) Worst
Tokens per Dollar 713,374 Best Value 29,611 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) $0.500000 Best
Optimizations: 50.0% batch
$7.500000 Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $2.500000 Best
Optimizations: 50.0% batch
$60.000000 Worst
Optimizations: 50.0% batch
Capabilities
Images Support
1 images
✓ Supported ✓ Supported
Video Support
600 seconds
✓ Supported ✗ Not Supported
Audio Support
60 minutes
✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Enabled ✓ Enabled
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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2

Second Model

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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
$3.186629Total Cost
$1.273258Input Cost
$5.000000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
2,273,258Total Tokens
$0.001402Cost per 1K
713,374Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
101m 21sProcessing Time
400Tokens/Second
220msTime to First Token
374Effective Speed

Model Comparison

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Model Information

Select a model to see detailed information.

🔄 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.

Gemini 3.1 Pro Google 2000000

$6.323258 (rounded ~ 6.32)
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) $6.323258 (rounded ~ 6.32) Input: $1.273258 (rounded ~ 1.27)
Output: $5.000000
Optimized Cost $6.323258 (rounded ~ 6.32) Input: $1.273258 (rounded ~ 1.27)
Output: $5.000000
Unit: $0.000000
Fees: $0.050000
Total Savings $3.136629 (rounded ~ 3.14) 49.6% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
273,258 tokens
📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

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

Detailed Cost Analysis

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

  • Input Cost: $1.273258 (rounded ~ 1.27)
  • Output Cost: $5.000000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $6.323258 (rounded ~ 6.32)
  • Cost per 1K tokens: $0.001402 (rounded ~ 0.00)
  • Tokens per dollar: 713,374 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

Best Use Cases

Video AnalysisMassive RAG

GPT-5.2 Pro OpenAI

$135.053870 (rounded ~ 135.05)
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) $135.053870 (rounded ~ 135.05) Input: $15.003870 (rounded ~ 15.00)
Output: $120.000000
Optimized Cost $135.053870 (rounded ~ 135.05) Input: $15.003870 (rounded ~ 15.00)
Output: $120.000000
Unit: $0.000000
Fees: $0.050000
Total Savings $67.501935 (rounded ~ 67.50) 50.0% discount

Advanced Cost Breakdown

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

Multimodal Input Details

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

Detailed Cost Analysis

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

  • Input Cost: $15.003870 (rounded ~ 15.00)
  • Output Cost: $120.000000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $135.053870 (rounded ~ 135.05)
  • Cost per 1K tokens: $0.033772 (rounded ~ 0.03)
  • Tokens per dollar: 29,611 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

Best Use Cases

Video AnalysisMassive RAG

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.
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.
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.
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.