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 Sora 2 Pro: 500 images at medium resolution = 85,000 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 20% 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.

Sora 2 Pro vs Veo 3.1 for 500 Storyboard Frames

Name: Veo 3.1
Brand: Google
Rating: 4.5 (89 reviews)

Sora 2 Pro vs Veo 3.1

Complete Comparison: 10,000 input tokens × 500 output tokens

🖼️ 500 Images ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 500 Images, 20% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API

Comparison Criteria	Sora 2 Pro OpenAI	Veo 3.1 Google
Calculation Results (Current Inputs) (500 images, 20% cached)
Input Tokens	N/A (Special Pricing)	N/A (Special Pricing)
Output Tokens	N/A (Special Pricing)	N/A (Special Pricing)
Cost Breakdown
Input Cost	N/A (Special Pricing)	N/A (Special Pricing)
Output Cost	N/A (Special Pricing)	N/A (Special Pricing)
Unit Cost (Audio/OCR)	$0.750000	$2.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.750000 Best Value	$2.000000 Most Expensive
Processing Time	52.68 seconds	52.68 seconds
Tokens per Second	N/A (Special Pricing)	N/A (Special Pricing)
Time to First Token	500ms	500ms
Cost per 1K tokens	N/A (Special Pricing)	N/A (Special Pricing)
Tokens per Dollar	N/A (Special Pricing)	N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Information not available - No token-based models in this comparison
Capabilities & Advanced Features
Images Support 500	✓ Supported	✓ Supported
Video Support	✓ Supported	✓ Supported
Audio Support	✓ Supported	✓ Supported
Caching Support 20	✗ Not Supported requested	✗ Not Supported requested
Batch API Support	✓ Supported	✗ Not 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.

Sora 2 Pro OpenAI 1000000

$0.750000

Total Cost

🖼️ 500 Image (Medium) ⚡ 20% Cached 📊 Batch API

👁️

Vision/Images

✓ Available

🎧

Audio Processing

✓ Available

🎥

Video Analysis

✓ Available

🔧

Tool Usage

✗ Not Available

📄

OCR Support

✗ Not Available

📊

Batch API

✓ Available

⚡

Caching

✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $1.500000 Input: $0.000000
Output: $0.000000

Optimized Cost $0.750000 Input: $0.000000
Output: $0.000000
Unit: $0.750000
Fees: $0.000000

Total Savings $0.750000 50.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

Input Cost: $0.000000
Output Cost: $0.000000
Unit Cost: $0.750000
Total Cost: $0.750000
Cost per 1K tokens: $0.071429 (rounded ~ $0.07)
Tokens per dollar: 14,000 tokens
Context Window: 1000000 tokens
Thinking Source: (0 tokens)

Speed & Performance Analysis

With a processing speed of 200 tokens per second and 500ms time to first token:

Processing Time: 52.68 seconds
Latency: 500 milliseconds to first token
Base Throughput: 200 tokens/second

Best Use Cases

Ideal for high-fidelity visual prototyping and maintaining stylistic consistency across large-scale storyboard sequences.

Want this applied to YOUR actual stack?

This calculator shows the math for Sora 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 →

Veo 3.1 Google 1000000

$2.000000

Total Cost

🖼️ 500 Image (Medium) ⚡ 20% Cached 📊 Batch API

👁️

Vision/Images

✓ Available

🎧

Audio Processing

✓ Available

🎥

Video Analysis

✓ Available

🔧

Tool Usage

✗ Not Available

📄

OCR Support

✗ Not Available

📊

Batch API

✗ Not Available

⚡

Caching

✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $2.000000 Input: $0.000000
Output: $0.000000

Optimized Cost $2.000000 Input: $0.000000
Output: $0.000000
Unit: $2.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

Input Cost: $0.000000
Output Cost: $0.000000
Unit Cost: $2.000000
Total Cost: $2.000000
Cost per 1K tokens: $0.190476
Tokens per dollar: 5,250 tokens
Context Window: 1000000 tokens
Thinking Source: (0 tokens)

Speed & Performance Analysis

With a processing speed of 200 tokens per second and 500ms time to first token:

Processing Time: 52.68 seconds
Latency: 500 milliseconds to first token
Base Throughput: 200 tokens/second

Best Use Cases

Ideal for high-fidelity visual prototyping and maintaining stylistic consistency across large-scale storyboard sequences.

Want this applied to YOUR actual stack?

This calculator shows the math for Veo 3.1. 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 Sora 2 Pro

📋 Active Input Parameters

Input Tokens: 10,000

Output Tokens: 500

Batch API: Enabled (50% discount)

Cached Tokens: 20%

Images: 500 (Medium Resolution)

Rank	AI Model & Provider	Total Cost	vs Sora 2 Pro	vs Veo 3.1
🏆	Mistral Small 3 Mistral AI	$0.005532 (rounded ~ $0.01) Best Value	↓ 99.3% cheaper	↓ 99.7% cheaper
🥈	Ministral 3 (14B) Mistral AI	$0.011113 (rounded ~ $0.01)	↓ 98.5% cheaper	↓ 99.4% cheaper
🥉	Gemini 3.1 Flash Lite Google	$0.013923 (rounded ~ $0.01)	↓ 98.1% cheaper	↓ 99.3% cheaper
#4	Gemini 2.5 Flash Google	$0.016795 (rounded ~ $0.02)	↓ 97.8% cheaper	↓ 99.2% cheaper
#5	Mistral Large 3 Mistral AI	$0.027908 (rounded ~ $0.03)	↓ 96.3% cheaper	↓ 98.6% cheaper
#6	GPT-5.4 mini OpenAI	$0.041768 (rounded ~ $0.04)	↓ 94.4% cheaper	↓ 97.9% cheaper
#7	o4-mini Deep Research OpenAI	$0.055440 (rounded ~ $0.06)	↓ 92.6% cheaper	↓ 97.2% cheaper
#8	Claude Haiku 4.5 Anthropic	$0.055565 (rounded ~ $0.06)	↓ 92.6% cheaper	↓ 97.2% cheaper
#9	o4-mini OpenAI	$0.060984	↓ 91.9% cheaper	↓ 97% cheaper
#10	Grok 4.3 xAI	$0.068988 (rounded ~ $0.07)	↓ 90.8% cheaper	↓ 96.6% cheaper
#11	Gemini 3.5 Flash Google	$0.083535 (rounded ~ $0.08)	↓ 88.9% cheaper	↓ 95.8% cheaper
#12	GPT-5.3 Codex Spark OpenAI	$0.097895 (rounded ~ $0.10)	↓ 86.9% cheaper	↓ 95.1% cheaper
#13	GPT-5.3 Instant OpenAI	$0.097895 (rounded ~ $0.10)	↓ 86.9% cheaper	↓ 95.1% cheaper
#14	Gemini 3.1 Flash Google	$0.111380 (rounded ~ $0.11)	↓ 85.1% cheaper	↓ 94.4% cheaper
#15	Claude Sonnet 4.6 Anthropic	$0.166695 (rounded ~ $0.17)	↓ 77.8% cheaper	↓ 91.7% cheaper
#16	Claude Opus 4.7 Anthropic	$0.277825 (rounded ~ $0.28)	↓ 63% cheaper	↓ 86.1% cheaper
#17	Claude Opus 4.8 Anthropic	$0.277825 (rounded ~ $0.28)	↓ 63% cheaper	↓ 86.1% cheaper
#18	Claude Opus 4.6 Anthropic	$0.277825 (rounded ~ $0.28)	↓ 63% cheaper	↓ 86.1% cheaper
#19	GPT-5.4 OpenAI	$0.278450 (rounded ~ $0.28)	↓ 62.9% cheaper	↓ 86.1% cheaper
#20	GPT-5.4 Thinking OpenAI	$0.278450 (rounded ~ $0.28)	↓ 62.9% cheaper	↓ 86.1% cheaper
#21	Gemini 2.5 Pro Google	$0.278450 (rounded ~ $0.28)	↓ 62.9% cheaper	↓ 86.1% cheaper
#22	GPT-5.5 Instant OpenAI	$0.278450 (rounded ~ $0.28)	↓ 62.9% cheaper	↓ 86.1% cheaper
#23	Gemini 3.1 Pro Google	$0.444020 (rounded ~ $0.44)	↓ 40.8% cheaper	↓ 77.8% cheaper
#24	o3 Deep Research OpenAI	$0.554400 (rounded ~ $0.55)	↓ 26.1% cheaper	↓ 72.3% cheaper
#25	o3 Pro OpenAI	$1.108800 (rounded ~ $1.11)	↑ 47.8% more	↓ 44.6% cheaper
#26	GPT-5.5 OpenAI	$1.110050	↑ 48% more	↓ 44.5% cheaper
#27	GPT-5.2 Pro OpenAI	$1.174740 (rounded ~ $1.17)	↑ 56.6% more	↓ 41.3% cheaper
#28	GPT-5.2 Pro OpenAI	$1.174740 (rounded ~ $1.17)	↑ 56.6% more	↓ 41.3% cheaper

🏆

Mistral Small 3
Mistral AI

$0.005532 (rounded ~ $0.01)

vs Sora 2 Pro: ↓ 99.3%

vs Veo 3.1: ↓ 99.7%

🥈

Ministral 3 (14B)
Mistral AI

$0.011113 (rounded ~ $0.01)

vs Sora 2 Pro: ↓ 98.5%

vs Veo 3.1: ↓ 99.4%

🥉

Gemini 3.1 Flash Lite
Google

$0.013923 (rounded ~ $0.01)

vs Sora 2 Pro: ↓ 98.1%

vs Veo 3.1: ↓ 99.3%

Gemini 2.5 Flash
Google

$0.016795 (rounded ~ $0.02)

vs Sora 2 Pro: ↓ 97.8%

vs Veo 3.1: ↓ 99.2%

Mistral Large 3
Mistral AI

$0.027908 (rounded ~ $0.03)

vs Sora 2 Pro: ↓ 96.3%

vs Veo 3.1: ↓ 98.6%

GPT-5.4 mini
OpenAI

$0.041768 (rounded ~ $0.04)

vs Sora 2 Pro: ↓ 94.4%

vs Veo 3.1: ↓ 97.9%

o4-mini Deep Research
OpenAI

$0.055440 (rounded ~ $0.06)

vs Sora 2 Pro: ↓ 92.6%

vs Veo 3.1: ↓ 97.2%

Claude Haiku 4.5
Anthropic

$0.055565 (rounded ~ $0.06)

vs Sora 2 Pro: ↓ 92.6%

vs Veo 3.1: ↓ 97.2%

o4-mini
OpenAI

$0.060984

vs Sora 2 Pro: ↓ 91.9%

vs Veo 3.1: ↓ 97%

#10

Grok 4.3
xAI

$0.068988 (rounded ~ $0.07)

vs Sora 2 Pro: ↓ 90.8%

vs Veo 3.1: ↓ 96.6%

#11

Gemini 3.5 Flash
Google

$0.083535 (rounded ~ $0.08)

vs Sora 2 Pro: ↓ 88.9%

vs Veo 3.1: ↓ 95.8%

#12

GPT-5.3 Codex Spark
OpenAI

$0.097895 (rounded ~ $0.10)

vs Sora 2 Pro: ↓ 86.9%

vs Veo 3.1: ↓ 95.1%

#13

GPT-5.3 Instant
OpenAI

$0.097895 (rounded ~ $0.10)

vs Sora 2 Pro: ↓ 86.9%

vs Veo 3.1: ↓ 95.1%

#14

Gemini 3.1 Flash
Google

$0.111380 (rounded ~ $0.11)

vs Sora 2 Pro: ↓ 85.1%

vs Veo 3.1: ↓ 94.4%

#15

Claude Sonnet 4.6
Anthropic

$0.166695 (rounded ~ $0.17)

vs Sora 2 Pro: ↓ 77.8%

vs Veo 3.1: ↓ 91.7%

#16

Claude Opus 4.7
Anthropic

$0.277825 (rounded ~ $0.28)

vs Sora 2 Pro: ↓ 63%

vs Veo 3.1: ↓ 86.1%

#17

Claude Opus 4.8
Anthropic

$0.277825 (rounded ~ $0.28)

vs Sora 2 Pro: ↓ 63%

vs Veo 3.1: ↓ 86.1%

#18

Claude Opus 4.6
Anthropic

$0.277825 (rounded ~ $0.28)

vs Sora 2 Pro: ↓ 63%

vs Veo 3.1: ↓ 86.1%

#19

GPT-5.4
OpenAI

$0.278450 (rounded ~ $0.28)

vs Sora 2 Pro: ↓ 62.9%

vs Veo 3.1: ↓ 86.1%

#20

GPT-5.4 Thinking
OpenAI

$0.278450 (rounded ~ $0.28)

vs Sora 2 Pro: ↓ 62.9%

vs Veo 3.1: ↓ 86.1%

#21

Gemini 2.5 Pro
Google

$0.278450 (rounded ~ $0.28)

vs Sora 2 Pro: ↓ 62.9%

vs Veo 3.1: ↓ 86.1%

#22

GPT-5.5 Instant
OpenAI

$0.278450 (rounded ~ $0.28)

vs Sora 2 Pro: ↓ 62.9%

vs Veo 3.1: ↓ 86.1%

#23

Gemini 3.1 Pro
Google

$0.444020 (rounded ~ $0.44)

vs Sora 2 Pro: ↓ 40.8%

vs Veo 3.1: ↓ 77.8%

#24

o3 Deep Research
OpenAI

$0.554400 (rounded ~ $0.55)

vs Sora 2 Pro: ↓ 26.1%

vs Veo 3.1: ↓ 72.3%

#25

o3 Pro
OpenAI

$1.108800 (rounded ~ $1.11)

vs Sora 2 Pro: ↑ 47.8%

vs Veo 3.1: ↓ 44.6%

#26

GPT-5.5
OpenAI

$1.110050

vs Sora 2 Pro: ↑ 48%

vs Veo 3.1: ↓ 44.5%

#27

GPT-5.2 Pro
OpenAI

$1.174740 (rounded ~ $1.17)

vs Sora 2 Pro: ↑ 56.6%

vs Veo 3.1: ↓ 41.3%

#28

GPT-5.2 Pro
OpenAI

$1.174740 (rounded ~ $1.17)

vs Sora 2 Pro: ↑ 56.6%

vs Veo 3.1: ↓ 41.3%

✨ 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.

Choosing Your Visual Foundation

For UX designers, the choice between Sora 2 Pro and Veo 3.1 represents a trade-off between cinematic fidelity and seamless integration. When generating 500 storyboard frames for a complex video project, the primary decision factor is often not just raw visual quality, but how well the model maintains stylistic continuity across disparate shots.

Sora 2 Pro is currently favored for its high-fidelity cinematic output, making it the superior choice if your storyboard needs to visualize lighting, texture, and complex camera movements with near-final realism. Its handling of multi-part prompts allows for sophisticated scene composition, effectively reducing the need for iterative corrections when you are trying to capture specific dramatic angles for an ad or hero-driven promo.

Veo 3.1, conversely, excels in workflows where consistency and rapid prototyping are paramount. Its ability to work with reference images to anchor characters and environmental styles makes it highly effective for maintaining a cohesive brand language throughout a lengthy sequence. If your storyboard pipeline is tightly integrated with Google Workspace or requires quick iteration cycles without the overhead of heavy cinematic rendering, Veo 3.1 offers a more practical, responsive experience. For indie creators, the decision often comes down to your production style: prioritize Sora 2 Pro for “director-level” visual impact, or leverage Veo 3.1 for faster, design-system-aligned consistency.

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.

Sora 2 Pro vs Veo 3.1 for 500 Storyboard Frames

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Sora 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

Sora 2 Pro OpenAI 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

Veo 3.1 Google 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

Mistral Small 3 Mistral AI

Ministral 3 (14B) Mistral AI

Gemini 3.1 Flash Lite Google

Gemini 2.5 Flash Google

Mistral Large 3 Mistral AI

GPT-5.4 mini OpenAI

o4-mini Deep Research OpenAI

Claude Haiku 4.5 Anthropic

o4-mini OpenAI

Grok 4.3 xAI

Gemini 3.5 Flash Google

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Gemini 3.1 Flash Google

Claude Sonnet 4.6 Anthropic

Claude Opus 4.7 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

Gemini 2.5 Pro Google

GPT-5.5 Instant OpenAI

Gemini 3.1 Pro Google

o3 Deep Research OpenAI

o3 Pro OpenAI

GPT-5.5 OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Choosing Your Visual Foundation

Frequently Asked Questions

Mistral Small 3
Mistral AI

Ministral 3 (14B)
Mistral AI

Gemini 3.1 Flash Lite
Google

Gemini 2.5 Flash
Google

Mistral Large 3
Mistral AI

GPT-5.4 mini
OpenAI

o4-mini Deep Research
OpenAI

Claude Haiku 4.5
Anthropic

o4-mini
OpenAI

Grok 4.3
xAI

Gemini 3.5 Flash
Google

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

Gemini 3.1 Flash
Google

Claude Sonnet 4.6
Anthropic

Claude Opus 4.7
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

Gemini 2.5 Pro
Google

GPT-5.5 Instant
OpenAI

Gemini 3.1 Pro
Google

o3 Deep Research
OpenAI

o3 Pro
OpenAI

GPT-5.5
OpenAI

GPT-5.2 Pro
OpenAI

GPT-5.2 Pro
OpenAI