Compare AI Model Prices and Processing Times

Gemini 3.1 Pro vs GPT-5.2 Pro
Complete Comparison: 500,000 input tokens × 500,000 output tokens
Comparison Mode

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

Comparison Criteria Gemini 3.1 Pro
Google
GPT-5.2 Pro
OpenAI
Calculation Results (Current Inputs)
Input Tokens 500,000 500,000
Output Tokens 500,000 500,000
Cost Breakdown
Input Cost $2.000000Best $10.500000Worst
Output Cost $9.000000Best $84.000000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $11.000000 Best Value $94.500000 Most Expensive
Processing Time 44 minutes, 35.18 seconds Fastest 50 minutes, 57.32 seconds Slowest
Tokens per Second 400Fastest 350Slowest
Time to First Token 220ms Best 250ms Worst
Cost per 1K tokens $0.011000Best $0.094500 (rounded ~ $0.09)Worst
Tokens per Dollar 90,909Best Value 10,582Worst 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 ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

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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.

Calculate Token Costs

$11.000000 Total Cost
$2.000000 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
1,000,000Total Tokens
$0.011000Cost per 1K
90,909Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

44m 35s 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
Manual thinking tokens (billed at output rate)
🔧 Special Modes
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

$11.000000
Total Cost
👁️
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) $11.000000 Input: $2.000000
Output: $9.000000
Optimized Cost $11.000000 Input: $2.000000
Output: $9.000000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 500,000 output tokens:

  • Input Cost: $2.000000
  • Output Cost: $9.000000
  • Total Cost: $11.000000
  • Cost per 1K tokens: $0.011000
  • Tokens per dollar: 90,909 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: 44 minutes, 35.18 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Intelligent Virtual AssistantsContent Creation & Knowledge WorkSoftware Development Support

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

GPT-5.2 Pro OpenAI

$94.500000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.
👁️
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 (from Plugin)

Base Cost (No Optimizations) $94.500000 Input: $10.500000
Output: $84.000000
Optimized Cost $94.500000 Input: $10.500000
Output: $84.000000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 500,000 output tokens:

  • Input Cost: $10.500000
  • Output Cost: $84.000000
  • Total Cost: $94.500000
  • Cost per 1K tokens: $0.094500 (rounded ~ $0.09)
  • Tokens per dollar: 10,582 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: 50 minutes, 57.32 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 327 tokens/second (temperature-adjusted)

Best Use Cases

Intelligent Virtual AssistantsContent Creation & Knowledge WorkSoftware Development Support

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.2 Pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Pro
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 500,000
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro vs GPT-5.2 Pro
🏆 DeepSeek V4 Flash
DeepSeek
 $0.175000 (rounded ~ $0.18) Best Value ↓ 98.4% cheaper ↓ 99.8% cheaper
🥈 Llama 4 Scout
Meta AI
 $0.190000 ↓ 98.3% cheaper ↓ 99.8% cheaper
🥉 Llama 4 Maverick (400B)
Meta AI
 $0.375000 (rounded ~ $0.38) ↓ 96.6% cheaper ↓ 99.6% cheaper
#4 Nemotron 3 Super
Mistral AI
 $0.560000 ↓ 94.9% cheaper ↓ 99.4% cheaper
#5 DeepSeek V4 Pro
DeepSeek
 $0.652500 (rounded ~ $0.65) ↓ 94.1% cheaper ↓ 99.3% cheaper
#6 Gemini 3.1 Flash Lite
Google
 $0.875000 (rounded ~ $0.88) ↓ 92% cheaper ↓ 99.1% cheaper
#7 Gemini 2.5 Flash
Google
 $1.400000 ↓ 87.3% cheaper ↓ 98.5% cheaper
#8 Grok 4.3
xAI
 $1.875000 (rounded ~ $1.88) ↓ 83% cheaper ↓ 98% cheaper
#9 Gemini 3.1 Flash
Google
 $3.500000 ↓ 68.2% cheaper ↓ 96.3% cheaper
#10 Grok 4.20 Beta
xAI
 $4.000000 ↓ 63.6% cheaper ↓ 95.8% cheaper
#11 Sonar Deep Research
Perplexity
 $5.000000 ↓ 54.5% cheaper ↓ 94.7% cheaper
#12 Gemini 3.5 Flash
Google
 $5.250000 ↓ 52.3% cheaper ↓ 94.4% cheaper
#13 Gemini 2.5 Pro
Google
 $8.750000 ↓ 20.5% cheaper ↓ 90.7% cheaper
#14 Claude Sonnet 4.6
Anthropic
 $9.000000 ↓ 18.2% cheaper ↓ 90.5% cheaper
#15 GPT-5.4
OpenAI
 $13.750000 ↑ 25% more ↓ 85.4% cheaper
#16 GPT-5.4 Thinking
OpenAI
 $13.750000 ↑ 25% more ↓ 85.4% cheaper
#17 Claude Opus 4.7
Anthropic
 $15.000000 ↑ 36.4% more ↓ 84.1% cheaper
#18 Claude Opus 4.8
Anthropic
 $15.000000 ↑ 36.4% more ↓ 84.1% cheaper
#19 Claude Opus 4.6
Anthropic
 $15.000000 ↑ 36.4% more ↓ 84.1% cheaper
#20 GPT-5.5
OpenAI
 $27.500000 ↑ 150% more ↓ 70.9% cheaper
#21 GPT-5.5 Pro
OpenAI
 $105.000000 ↑ 854.5% more ↑ 11.1% more
#22 GPT-5.5 Pro
OpenAI
 $105.000000 ↑ 854.5% more ↑ 11.1% more
🏆

DeepSeek V4 Flash
DeepSeek

$0.175000 (rounded ~ $0.18)
vs Gemini 3.1 Pro: ↓ 98.4%
vs GPT-5.2 Pro: ↓ 99.8%
🥈

Llama 4 Scout
Meta AI

$0.190000
vs Gemini 3.1 Pro: ↓ 98.3%
vs GPT-5.2 Pro: ↓ 99.8%
🥉

Llama 4 Maverick (400B)
Meta AI

$0.375000 (rounded ~ $0.38)
vs Gemini 3.1 Pro: ↓ 96.6%
vs GPT-5.2 Pro: ↓ 99.6%
#4

Nemotron 3 Super
Mistral AI

$0.560000
vs Gemini 3.1 Pro: ↓ 94.9%
vs GPT-5.2 Pro: ↓ 99.4%
#5

DeepSeek V4 Pro
DeepSeek

$0.652500 (rounded ~ $0.65)
vs Gemini 3.1 Pro: ↓ 94.1%
vs GPT-5.2 Pro: ↓ 99.3%
#6

Gemini 3.1 Flash Lite
Google

$0.875000 (rounded ~ $0.88)
vs Gemini 3.1 Pro: ↓ 92%
vs GPT-5.2 Pro: ↓ 99.1%
#7

Gemini 2.5 Flash
Google

$1.400000
vs Gemini 3.1 Pro: ↓ 87.3%
vs GPT-5.2 Pro: ↓ 98.5%
#8

Grok 4.3
xAI

$1.875000 (rounded ~ $1.88)
vs Gemini 3.1 Pro: ↓ 83%
vs GPT-5.2 Pro: ↓ 98%
#9

Gemini 3.1 Flash
Google

$3.500000
vs Gemini 3.1 Pro: ↓ 68.2%
vs GPT-5.2 Pro: ↓ 96.3%
#10

Grok 4.20 Beta
xAI

$4.000000
vs Gemini 3.1 Pro: ↓ 63.6%
vs GPT-5.2 Pro: ↓ 95.8%
#11

Sonar Deep Research
Perplexity

$5.000000
vs Gemini 3.1 Pro: ↓ 54.5%
vs GPT-5.2 Pro: ↓ 94.7%
#12

Gemini 3.5 Flash
Google

$5.250000
vs Gemini 3.1 Pro: ↓ 52.3%
vs GPT-5.2 Pro: ↓ 94.4%
#13

Gemini 2.5 Pro
Google

$8.750000
vs Gemini 3.1 Pro: ↓ 20.5%
vs GPT-5.2 Pro: ↓ 90.7%
#14

Claude Sonnet 4.6
Anthropic

$9.000000
vs Gemini 3.1 Pro: ↓ 18.2%
vs GPT-5.2 Pro: ↓ 90.5%
#15

GPT-5.4
OpenAI

$13.750000
vs Gemini 3.1 Pro: ↑ 25%
vs GPT-5.2 Pro: ↓ 85.4%
#16

GPT-5.4 Thinking
OpenAI

$13.750000
vs Gemini 3.1 Pro: ↑ 25%
vs GPT-5.2 Pro: ↓ 85.4%
#17

Claude Opus 4.7
Anthropic

$15.000000
vs Gemini 3.1 Pro: ↑ 36.4%
vs GPT-5.2 Pro: ↓ 84.1%
#18

Claude Opus 4.8
Anthropic

$15.000000
vs Gemini 3.1 Pro: ↑ 36.4%
vs GPT-5.2 Pro: ↓ 84.1%
#19

Claude Opus 4.6
Anthropic

$15.000000
vs Gemini 3.1 Pro: ↑ 36.4%
vs GPT-5.2 Pro: ↓ 84.1%
#20

GPT-5.5
OpenAI

$27.500000
vs Gemini 3.1 Pro: ↑ 150%
vs GPT-5.2 Pro: ↓ 70.9%
#21

GPT-5.5 Pro
OpenAI

$105.000000
vs Gemini 3.1 Pro: ↑ 854.5%
vs GPT-5.2 Pro: ↑ 11.1%
#22

GPT-5.5 Pro
OpenAI

$105.000000
vs Gemini 3.1 Pro: ↑ 854.5%
vs GPT-5.2 Pro: ↑ 11.1%
✨ 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.

Gemini 3 Pro

Gemini 3 Pro is designed for multimodal understanding, seamlessly integrating text, images, and structured data for richer interactions. It performs exceptionally well in knowledge retrieval, visual interpretation, and real-time search-driven tasks. This makes it a solid choice for research tools, AI assistants, and scalable consumer experiences.

GPT-5.2 Pro

GPT-5.2 Pro excels at deep reasoning, long-context comprehension, and complex problem solving, making it ideal for enterprise workflows and technical tasks. It’s especially strong for detailed content generation, advanced code assistance, and multi-step logical analysis. This model shines when precision and contextual continuity matter most.

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 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.