GPT-5.2 Pro vs Gemini 3.1 Pro: Enterprise Reasoning Battle

GPT-5.2 Pro vs Gemini 3.1 Pro
Complete Comparison: 500,000 input tokens × 500,000 output tokens
Comparison Mode
🖼️ 1 Image ⚡ 90% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1 Image, 90% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria GPT-5.2 Pro
OpenAI
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (1 images, 90% cached)
Input Tokens 500,000 500,000
Output Tokens 500,000 500,000
Cost Breakdown
Input Cost $2.626355 (rounded ~ $2.63)Worst $1.000516Best
Output Cost $21.000000Worst $4.500000Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $21.499007 Most Expensive $4.690098 Best Value
Processing Time 49 minutes, 32.38 seconds Slowest 43 minutes, 20.85 seconds Fastest
Tokens per Second 350Slowest 400Fastest
Time to First Token 250ms Worst 220ms Best
Cost per 1K tokens $0.021493 (rounded ~ $0.02)Worst $0.004689Best
Tokens per Dollar 46,526Worst Value 213,270Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.250000Worst $2.000000Best
Output Cost / 1M (Base) $42.000000Worst $9.000000Best
Input Cost / 1M (Optimized) $2.625000 (rounded ~ $2.63)Worst
Optimizations: 50.0% batch
$1.000000Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $21.000000Worst
Optimizations: 50.0% batch
$4.500000Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
1
✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
90
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

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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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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.

Select AI Model

GPT-5.2 Pro
OpenAIMax Context: 128,000 tokens
$21 / $168 per 1M tokens
▼
▼
Use Batch API (50% discount)
90%
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

$21.499007 Total Cost
$0.262635 Input Cost
$21.000000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,000,258Total Tokens
$0.021493Cost per 1K
46,526Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

49m 32s Processing Time
350 Tokens/Second
250ms Time to First Token
337 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.

GPT-5.2 Pro OpenAI

$21.499007
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.
🖼️ 1 Image (4k) ⚡ 90% Cached 📊 Batch API 🔧 Tools
👁️
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) $23.626355 (rounded ~ $23.63) Input: $2.626355 (rounded ~ $2.63)
Output: $21.000000
Optimized Cost $21.499007 Input: $2.626355 (rounded ~ $2.63)
Output: $21.000000
Unit: $0.000000
Fees: $0.000000
Total Savings $2.127347 (rounded ~ $2.13) 9.0% discount

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

  • Input Cost: $2.626355 (rounded ~ $2.63)
  • Output Cost: $21.000000
  • Total Cost: $21.499007
  • Cost per 1K tokens: $0.021493 (rounded ~ $0.02)
  • Tokens per dollar: 46,526 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: 49 minutes, 32.38 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 337 tokens/second (temperature-adjusted)

Best Use Cases

Legal StrategyComplex Financial Audits

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 →

Gemini 3.1 Pro Google 2000000

$4.690098
Total Cost
🖼️ 1 Image (4k) ⚡ 90% Cached 📊 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) $5.500516 Input: $1.000516
Output: $4.500000
Optimized Cost $4.690098 Input: $1.000516
Output: $4.500000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.810418 14.7% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
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

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $1.000516
  • Output Cost: $4.500000
  • Total Cost: $4.690098
  • Cost per 1K tokens: $0.004689
  • Tokens per dollar: 213,270 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: 43 minutes, 20.85 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 385 tokens/second (temperature-adjusted)

Best Use Cases

Legal StrategyComplex Financial Audits

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 →

✨ Market Recommendations AI Model Registry

← Back to GPT-5.2 Pro
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 500,000
Batch API: Enabled (50% discount)
Cached Tokens: 90%
Images: 1 (4k Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.2 Pro vs Gemini 3.1 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.193441 (rounded ~ $0.19) Best Value ↓ 99.1% cheaper ↓ 95.9% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.319629 ↓ 98.5% cheaper ↓ 93.2% cheaper
🥉 Grok 4.3
xAI
 $0.342203 (rounded ~ $0.34) ↓ 98.4% cheaper ↓ 92.7% cheaper
#4 Gemini 3.5 Flash
Google
 $1.160643 ↓ 94.6% cheaper ↓ 75.3% cheaper
#5 Gemini 3.1 Flash
Google
 $1.547525 (rounded ~ $1.55) ↓ 92.8% cheaper ↓ 67% cheaper
#6 Claude Sonnet 4.6
Anthropic
 $1.946287 (rounded ~ $1.95) ↓ 90.9% cheaper ↓ 58.5% cheaper
#7 Claude Opus 4.7
Anthropic
 $3.243811 (rounded ~ $3.24) ↓ 84.9% cheaper ↓ 30.8% cheaper
#8 Claude Opus 4.8
Anthropic
 $3.243811 (rounded ~ $3.24) ↓ 84.9% cheaper ↓ 30.8% cheaper
#9 Claude Opus 4.6
Anthropic
 $3.243811 (rounded ~ $3.24) ↓ 84.9% cheaper ↓ 30.8% cheaper
#10 Gemini 2.5 Pro
Google
 $3.868811 (rounded ~ $3.87) ↓ 82% cheaper ↓ 17.5% cheaper
#11 Gemini 3.1 Pro
Google
 $4.690098 ↓ 78.2% cheaper Same price
#12 GPT-5.4
OpenAI
 $5.862623 (rounded ~ $5.86) ↓ 72.7% cheaper ↑ 25% more
#13 GPT-5.4 Thinking
OpenAI
 $5.862623 (rounded ~ $5.86) ↓ 72.7% cheaper ↑ 25% more
#14 GPT-5.5
OpenAI
 $11.725245 (rounded ~ $11.73) ↓ 45.5% cheaper ↑ 150% more
#15 GPT-5.5
OpenAI
 $11.725245 (rounded ~ $11.73) ↓ 45.5% cheaper ↑ 150% more
🏆

Gemini 3.1 Flash Lite
Google

$0.193441 (rounded ~ $0.19)
vs GPT-5.2 Pro: ↓ 99.1%
vs Gemini 3.1 Pro: ↓ 95.9%
🥈

Gemini 2.5 Flash
Google

$0.319629
vs GPT-5.2 Pro: ↓ 98.5%
vs Gemini 3.1 Pro: ↓ 93.2%
🥉

Grok 4.3
xAI

$0.342203 (rounded ~ $0.34)
vs GPT-5.2 Pro: ↓ 98.4%
vs Gemini 3.1 Pro: ↓ 92.7%
#4

Gemini 3.5 Flash
Google

$1.160643
vs GPT-5.2 Pro: ↓ 94.6%
vs Gemini 3.1 Pro: ↓ 75.3%
#5

Gemini 3.1 Flash
Google

$1.547525 (rounded ~ $1.55)
vs GPT-5.2 Pro: ↓ 92.8%
vs Gemini 3.1 Pro: ↓ 67%
#6

Claude Sonnet 4.6
Anthropic

$1.946287 (rounded ~ $1.95)
vs GPT-5.2 Pro: ↓ 90.9%
vs Gemini 3.1 Pro: ↓ 58.5%
#7

Claude Opus 4.7
Anthropic

$3.243811 (rounded ~ $3.24)
vs GPT-5.2 Pro: ↓ 84.9%
vs Gemini 3.1 Pro: ↓ 30.8%
#8

Claude Opus 4.8
Anthropic

$3.243811 (rounded ~ $3.24)
vs GPT-5.2 Pro: ↓ 84.9%
vs Gemini 3.1 Pro: ↓ 30.8%
#9

Claude Opus 4.6
Anthropic

$3.243811 (rounded ~ $3.24)
vs GPT-5.2 Pro: ↓ 84.9%
vs Gemini 3.1 Pro: ↓ 30.8%
#10

Gemini 2.5 Pro
Google

$3.868811 (rounded ~ $3.87)
vs GPT-5.2 Pro: ↓ 82%
vs Gemini 3.1 Pro: ↓ 17.5%
#11

Gemini 3.1 Pro
Google

$4.690098
vs GPT-5.2 Pro: ↓ 78.2%
vs Gemini 3.1 Pro: Same
#12

GPT-5.4
OpenAI

$5.862623 (rounded ~ $5.86)
vs GPT-5.2 Pro: ↓ 72.7%
vs Gemini 3.1 Pro: ↑ 25%
#13

GPT-5.4 Thinking
OpenAI

$5.862623 (rounded ~ $5.86)
vs GPT-5.2 Pro: ↓ 72.7%
vs Gemini 3.1 Pro: ↑ 25%
#14

GPT-5.5
OpenAI

$11.725245 (rounded ~ $11.73)
vs GPT-5.2 Pro: ↓ 45.5%
vs Gemini 3.1 Pro: ↑ 150%
#15

GPT-5.5
OpenAI

$11.725245 (rounded ~ $11.73)
vs GPT-5.2 Pro: ↓ 45.5%
vs Gemini 3.1 Pro: ↑ 150%
✨ 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.

Precision vs Scale

GPT-5.2 Pro introduces ‘High’ reasoning mode for near-zero hallucination rates in legal and financial work. Gemini 3.1 Pro counters with a 2M context window, ideal for analyzing entire data lakes. Use GPT-5.2 for mission-critical logic; use Gemini 3.1 for massive multimodal retrieval.

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 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.