How are image tokens calculated for AI models?

Images are tokenized based on resolution: Low (512px): 85 tokens, Medium (768px): 170 tokens, High (1024px): 255 tokens, Full (2048px): 765 tokens per image. For GPT 5.2 Pro: 1 images at 4k resolution = 170 tokens.

What are cached tokens and how do they save money?

Cached tokens are repeated input tokens (like system prompts or conversation history) that providers charge at a discounted rate. OpenAI offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 90% of input tokens for optimized cost savings.

When should I use Batch API vs real-time API?

Use Batch API for non-realtime processing of large volumes where latency isn't critical (saves up to 40-60%). Use real-time API for interactive applications like chatbots. Batch processing is ideal for data analysis, content generation in bulk, and offline processing.

What should I consider when comparing different AI models?

When comparing AI models, focus on factors such as performance, accuracy, response speed, cost, scalability, and how well the model fits your specific use case. The right choice depends on your workload, budget, and the type of tasks you want the AI to handle. Using an AI cost and time calculator can help you make an informed, data-driven decision.

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

Name: Gemini 3.1 Pro
Brand: Google
Price: 4.69 USD
Availability: InStock
Rating: 4.5 (89 reviews)

GPT-5.2 Pro vs Gemini 3.1 Pro

Complete Comparison: 500,000 input tokens × 500,000 output tokens

🖼️ 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

First Model

Provider

Model

Second Model

Provider

Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

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 1000000

$4.690098

Total Cost

⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

🖼️ 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: 1000000 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 3.5 Flash-Lite Google	$0.319629	↓ 98.5% cheaper	↓ 93.2% cheaper
🥉	Gemini 2.5 Flash Google	$0.319629	↓ 98.5% cheaper	↓ 93.2% cheaper
#4	Gemini 3.8 Flash Google	$0.486572 (rounded ~ $0.49)	↓ 97.7% cheaper	↓ 89.6% cheaper
#5	GPT-5.6 Luna OpenAI	$0.773762 (rounded ~ $0.77)	↓ 96.4% cheaper	↓ 83.5% cheaper
#6	Gemini 3.6 Flash Google	$0.973143 (rounded ~ $0.97)	↓ 95.5% cheaper	↓ 79.3% cheaper
#7	Gemini 3.5 Flash Google	$1.160643	↓ 94.6% cheaper	↓ 75.3% cheaper
#8	Claude Sonnet 5 Anthropic	$1.297525 (rounded ~ $1.30)	↓ 94% cheaper	↓ 72.3% cheaper
#9	Gemini 3.1 Flash Google	$1.547525 (rounded ~ $1.55)	↓ 92.8% cheaper	↓ 67% cheaper
#10	GPT-5.6 Terra OpenAI	$1.934406 (rounded ~ $1.93)	↓ 91% cheaper	↓ 58.8% cheaper
#11	Claude Sonnet 4.6 Anthropic	$1.946287 (rounded ~ $1.95)	↓ 90.9% cheaper	↓ 58.5% cheaper
#12	Grok 4.3 xAI	$2.190098	↓ 89.8% cheaper	↓ 53.3% cheaper
#13	Claude Opus 4.7 Anthropic	$3.243811 (rounded ~ $3.24)	↓ 84.9% cheaper	↓ 30.8% cheaper
#14	Claude Opus 5 Anthropic	$3.243811 (rounded ~ $3.24)	↓ 84.9% cheaper	↓ 30.8% cheaper
#15	Claude Opus 4.8 Anthropic	$3.243811 (rounded ~ $3.24)	↓ 84.9% cheaper	↓ 30.8% cheaper
#16	Claude Opus 4.6 Anthropic	$3.243811 (rounded ~ $3.24)	↓ 84.9% cheaper	↓ 30.8% cheaper
#17	Gemini 2.5 Pro Google	$3.868811 (rounded ~ $3.87)	↓ 82% cheaper	↓ 17.5% cheaper
#18	GPT-5.6 Sol OpenAI	$3.868811 (rounded ~ $3.87)	↓ 82% cheaper	↓ 17.5% cheaper
#19	Gemini 3.1 Pro Google	$4.690098	↓ 78.2% cheaper	Same price
#20	GPT-5.4 OpenAI	$5.862623 (rounded ~ $5.86)	↓ 72.7% cheaper	↑ 25% more
#21	GPT-5.4 Thinking OpenAI	$5.862623 (rounded ~ $5.86)	↓ 72.7% cheaper	↑ 25% more
#22	Claude Fable 5.1 Anthropic	$6.403204 (rounded ~ $6.40)	↓ 70.2% cheaper	↑ 36.5% more
#23	Claude Mythos 5.1 Anthropic	$6.403204 (rounded ~ $6.40)	↓ 70.2% cheaper	↑ 36.5% more
#24	Claude Fable 5 Anthropic	$6.487623 (rounded ~ $6.49)	↓ 69.8% cheaper	↑ 38.3% more
#25	Claude Mythos 5 Anthropic	$6.487623 (rounded ~ $6.49)	↓ 69.8% cheaper	↑ 38.3% more
#26	GPT-5.5 OpenAI	$11.725245 (rounded ~ $11.73)	↓ 45.5% cheaper	↑ 150% more
#27	GPT-6 Astra OpenAI	$25.950490	↑ 20.7% more	↑ 453.3% more
#28	GPT-6 Astra OpenAI	$25.950490	↑ 20.7% more	↑ 453.3% 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 3.5 Flash-Lite
Google

$0.319629

vs GPT-5.2 Pro: ↓ 98.5%

vs Gemini 3.1 Pro: ↓ 93.2%

🥉

Gemini 2.5 Flash
Google

$0.319629

vs GPT-5.2 Pro: ↓ 98.5%

vs Gemini 3.1 Pro: ↓ 93.2%

Gemini 3.8 Flash
Google

$0.486572 (rounded ~ $0.49)

vs GPT-5.2 Pro: ↓ 97.7%

vs Gemini 3.1 Pro: ↓ 89.6%

GPT-5.6 Luna
OpenAI

$0.773762 (rounded ~ $0.77)

vs GPT-5.2 Pro: ↓ 96.4%

vs Gemini 3.1 Pro: ↓ 83.5%

Gemini 3.6 Flash
Google

$0.973143 (rounded ~ $0.97)

vs GPT-5.2 Pro: ↓ 95.5%

vs Gemini 3.1 Pro: ↓ 79.3%

Gemini 3.5 Flash
Google

$1.160643

vs GPT-5.2 Pro: ↓ 94.6%

vs Gemini 3.1 Pro: ↓ 75.3%

Claude Sonnet 5
Anthropic

$1.297525 (rounded ~ $1.30)

vs GPT-5.2 Pro: ↓ 94%

vs Gemini 3.1 Pro: ↓ 72.3%

Gemini 3.1 Flash
Google

$1.547525 (rounded ~ $1.55)

vs GPT-5.2 Pro: ↓ 92.8%

vs Gemini 3.1 Pro: ↓ 67%

#10

GPT-5.6 Terra
OpenAI

$1.934406 (rounded ~ $1.93)

vs GPT-5.2 Pro: ↓ 91%

vs Gemini 3.1 Pro: ↓ 58.8%

#11

Claude Sonnet 4.6
Anthropic

$1.946287 (rounded ~ $1.95)

vs GPT-5.2 Pro: ↓ 90.9%

vs Gemini 3.1 Pro: ↓ 58.5%

#12

Grok 4.3
xAI

$2.190098

vs GPT-5.2 Pro: ↓ 89.8%

vs Gemini 3.1 Pro: ↓ 53.3%

#13

Claude Opus 4.7
Anthropic

$3.243811 (rounded ~ $3.24)

vs GPT-5.2 Pro: ↓ 84.9%

vs Gemini 3.1 Pro: ↓ 30.8%

#14

Claude Opus 5
Anthropic

$3.243811 (rounded ~ $3.24)

vs GPT-5.2 Pro: ↓ 84.9%

vs Gemini 3.1 Pro: ↓ 30.8%

#15

Claude Opus 4.8
Anthropic

$3.243811 (rounded ~ $3.24)

vs GPT-5.2 Pro: ↓ 84.9%

vs Gemini 3.1 Pro: ↓ 30.8%

#16

Claude Opus 4.6
Anthropic

$3.243811 (rounded ~ $3.24)

vs GPT-5.2 Pro: ↓ 84.9%

vs Gemini 3.1 Pro: ↓ 30.8%

#17

Gemini 2.5 Pro
Google

$3.868811 (rounded ~ $3.87)

vs GPT-5.2 Pro: ↓ 82%

vs Gemini 3.1 Pro: ↓ 17.5%

#18

GPT-5.6 Sol
OpenAI

$3.868811 (rounded ~ $3.87)

vs GPT-5.2 Pro: ↓ 82%

vs Gemini 3.1 Pro: ↓ 17.5%

#19

Gemini 3.1 Pro
Google

$4.690098

vs GPT-5.2 Pro: ↓ 78.2%

vs Gemini 3.1 Pro: Same

#20

GPT-5.4
OpenAI

$5.862623 (rounded ~ $5.86)

vs GPT-5.2 Pro: ↓ 72.7%

vs Gemini 3.1 Pro: ↑ 25%

#21

GPT-5.4 Thinking
OpenAI

$5.862623 (rounded ~ $5.86)

vs GPT-5.2 Pro: ↓ 72.7%

vs Gemini 3.1 Pro: ↑ 25%

#22

Claude Fable 5.1
Anthropic

$6.403204 (rounded ~ $6.40)

vs GPT-5.2 Pro: ↓ 70.2%

vs Gemini 3.1 Pro: ↑ 36.5%

#23

Claude Mythos 5.1
Anthropic

$6.403204 (rounded ~ $6.40)

vs GPT-5.2 Pro: ↓ 70.2%

vs Gemini 3.1 Pro: ↑ 36.5%

#24

Claude Fable 5
Anthropic

$6.487623 (rounded ~ $6.49)

vs GPT-5.2 Pro: ↓ 69.8%

vs Gemini 3.1 Pro: ↑ 38.3%

#25

Claude Mythos 5
Anthropic

$6.487623 (rounded ~ $6.49)

vs GPT-5.2 Pro: ↓ 69.8%

vs Gemini 3.1 Pro: ↑ 38.3%

#26

GPT-5.5
OpenAI

$11.725245 (rounded ~ $11.73)

vs GPT-5.2 Pro: ↓ 45.5%

vs Gemini 3.1 Pro: ↑ 150%

#27

GPT-6 Astra
OpenAI

$25.950490

vs GPT-5.2 Pro: ↑ 20.7%

vs Gemini 3.1 Pro: ↑ 453.3%

#28

GPT-6 Astra
OpenAI

$25.950490

vs GPT-5.2 Pro: ↑ 20.7%

vs Gemini 3.1 Pro: ↑ 453.3%

✨ 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.

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

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

GPT-5.2 Pro

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

GPT-5.2 Pro OpenAI

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

Gemini 3.1 Pro Google 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

Gemini 3.1 Flash Lite Google

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

Gemini 3.8 Flash Google

GPT-5.6 Luna OpenAI

Gemini 3.6 Flash Google

Gemini 3.5 Flash Google

Claude Sonnet 5 Anthropic

Gemini 3.1 Flash Google

GPT-5.6 Terra OpenAI

Claude Sonnet 4.6 Anthropic

Grok 4.3 xAI

Claude Opus 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

Gemini 2.5 Pro Google

GPT-5.6 Sol OpenAI

Gemini 3.1 Pro Google

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

GPT-6 Astra OpenAI

GPT-6 Astra OpenAI

Precision vs Scale

Frequently Asked Questions

Related model pricing

Compare across providers

Other models from the same provider

Gemini 3.1 Flash Lite
Google

Gemini 3.5 Flash-Lite
Google

Gemini 2.5 Flash
Google

Gemini 3.8 Flash
Google

GPT-5.6 Luna
OpenAI

Gemini 3.6 Flash
Google

Gemini 3.5 Flash
Google

Claude Sonnet 5
Anthropic

Gemini 3.1 Flash
Google

GPT-5.6 Terra
OpenAI

Claude Sonnet 4.6
Anthropic

Grok 4.3
xAI

Claude Opus 4.7
Anthropic

Claude Opus 5
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

Gemini 2.5 Pro
Google

GPT-5.6 Sol
OpenAI

Gemini 3.1 Pro
Google

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

Claude Fable 5.1
Anthropic

Claude Mythos 5.1
Anthropic

Claude Fable 5
Anthropic

Claude Mythos 5
Anthropic

GPT-5.5
OpenAI

GPT-6 Astra
OpenAI

GPT-6 Astra
OpenAI