AI Video Script & Storyboard: Veo 3.1 Fast (Tier 1)

Veo 3.1 Fast vs GPT-5.4
Complete Comparison: 100,000 input tokens × 20,000 output tokens
Comparison Mode
🎥 30s Video ⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30s Video, 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Veo 3.1 Fast
Google
GPT-5.4
OpenAI
Calculation Results (Current Inputs) (30s video (24fps), 30% cached)
Input Tokens N/A (Special Pricing) 100,000
Output Tokens N/A (Special Pricing) 20,000
Cost Breakdown
Input Cost N/A (Special Pricing) $0.125000 (rounded ~ $0.13)
Output Cost N/A (Special Pricing) $0.150000
Unit Cost (Audio/OCR) $1.200000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $1.200000 Most Expensive $0.241250 (rounded ~ $0.24) Best Value
Processing Time 6 minutes, 40.18 seconds Slowest 5 minutes, 5.89 seconds Fastest
Tokens per Second N/A (Special Pricing) 420
Time to First Token 400ms Worst 210ms Best
Cost per 1K tokens N/A (Special Pricing) $0.002010
Tokens per Dollar N/A (Special Pricing) 497,409
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $1.250000
Output Cost / 1M (Base) N/A (Special Pricing) $7.500000
Input Cost / 1M (Optimized) N/A (Special Pricing) $0.625000 (rounded ~ $0.63)
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) N/A (Special Pricing) $3.750000
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support
30 (24fps)
✓ Supported ✗ Not Supported requested
Audio Support ✓ Supported ✗ Not Supported
Caching Support
30
✗ Not Supported requested ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✗ Not Supported ✓ Supported
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Second Model

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All other parameters will be preserved from the current comparison.

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ℹ️ Video length capped at 8 seconds maximum.

Select AI Model

Veo 3.1 Fast
GoogleMax Context: 1,000,000 tokens
$0.15/sec per second (1080p)
▼
▼
Use Batch API (50% discount)
30%
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

$1.200000 Total Cost
$0.000000 Input Cost
$0.000000 Output Cost
$1.200000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
120,000Total Tokens
$0.010000Cost per 1K
100,000Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6m 40s Processing Time
300 Tokens/Second
400ms Time to First Token
300 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.

Veo 3.1 Fast Google 1000000

$1.200000
Total Cost
⚠️ Video length capped at 8 seconds maximum.
🎥 30s Video (720p) ⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $1.200000 Input: $0.000000
Output: $0.000000
Optimized Cost $1.200000 Input: $0.000000
Output: $0.000000
Unit: $1.200000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $1.200000
  • Total Cost: $1.200000
  • Cost per 1K tokens: $0.010000
  • Tokens per dollar: 100,000 tokens
  • Context Window: 1000000 tokens
  • Thinking Source: (0 tokens)

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 400ms time to first token:

  • Processing Time: 6 minutes, 40.18 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 300 tokens/second

Best Use Cases

Creative direction and frame-by-frame storyboard generation.

Want this applied to YOUR actual stack?

This calculator shows the math for Veo 3.1 Fast. 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.

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GPT-5.4 OpenAI 1024000

$0.241250 (rounded ~ $0.24)
Total Cost
🎥 30s Video (720p) ⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available requested
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.275000 (rounded ~ $0.28) Input: $0.125000 (rounded ~ $0.13)
Output: $0.150000
Optimized Cost $0.241250 (rounded ~ $0.24) Input: $0.125000 (rounded ~ $0.13)
Output: $0.150000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 12.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Cliff Pricing
Standard
standard pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.150000
  • Total Cost: $0.241250 (rounded ~ $0.24)
  • Cost per 1K tokens: $0.002010
  • Tokens per dollar: 497,409 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 210ms time to first token:

  • Processing Time: 5 minutes, 5.89 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

Creative direction and frame-by-frame storyboard generation.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4. 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 Veo 3.1 Fast
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 20,000
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Video: 30 seconds (720p)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Veo 3.1 Fast vs GPT-5.4
🏆 Gemini 3.1 Flash Lite
Google
 $0.012422 (rounded ~ $0.01) Best Value ↓ 99% cheaper ↓ 94.9% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.018407 (rounded ~ $0.02) ↓ 98.5% cheaper ↓ 92.4% cheaper
🥉 Grok 4.3
xAI
 $0.037112 (rounded ~ $0.04) ↓ 96.9% cheaper ↓ 84.6% cheaper
#4 Gemini 3.1 Flash
Google
 $0.049690 ↓ 95.9% cheaper ↓ 79.4% cheaper
#5 Gemini 3.5 Flash
Google
 $0.074535 (rounded ~ $0.07) ↓ 93.8% cheaper ↓ 69.1% cheaper
#6 Gemini 2.5 Pro
Google
 $0.149225 ↓ 87.6% cheaper ↓ 38.1% cheaper
#7 Gemini 2.5 Pro
Google
 $0.149225 ↓ 87.6% cheaper ↓ 38.1% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.012422 (rounded ~ $0.01)
vs Veo 3.1 Fast: ↓ 99%
vs GPT-5.4: ↓ 94.9%
🥈

Gemini 2.5 Flash
Google

$0.018407 (rounded ~ $0.02)
vs Veo 3.1 Fast: ↓ 98.5%
vs GPT-5.4: ↓ 92.4%
🥉

Grok 4.3
xAI

$0.037112 (rounded ~ $0.04)
vs Veo 3.1 Fast: ↓ 96.9%
vs GPT-5.4: ↓ 84.6%
#4

Gemini 3.1 Flash
Google

$0.049690
vs Veo 3.1 Fast: ↓ 95.9%
vs GPT-5.4: ↓ 79.4%
#5

Gemini 3.5 Flash
Google

$0.074535 (rounded ~ $0.07)
vs Veo 3.1 Fast: ↓ 93.8%
vs GPT-5.4: ↓ 69.1%
#6

Gemini 2.5 Pro
Google

$0.149225
vs Veo 3.1 Fast: ↓ 87.6%
vs GPT-5.4: ↓ 38.1%
#7

Gemini 2.5 Pro
Google

$0.149225
vs Veo 3.1 Fast: ↓ 87.6%
vs GPT-5.4: ↓ 38.1%
✨ 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.

Creative direction and frame-by-frame storyboard generation.

Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.

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 is video pricing calculated?
Video processing uses either token-based billing (263 tokens per second) for video input, or per-second billing for video generation. Veo 3.1 charges $0.15-$0.40 per generated second depending on speed tier (Fast vs Standard), flat across 720p and 1080p. Sora 2 Pro charges $0.30 at 720p, $0.50 at 1024p, or $0.70 at 1080p per generated second. Frame rate does not affect per-second pricing.
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.