Veo 3.1 vs Sora 2 Pro: Migration Strategy for 10,000 Marketing Videos

Sora 2 Pro is no longer available

This model is deprecated. It may still respond for existing integrations, but it is no longer recommended for new work, and the figures below are retained as a historical record.

See current model pricing →

Veo 3.1 vs Sora 2 Pro
Complete Comparison: 0 input tokens × 500 output tokens
Comparison Mode
🎥 300000s Video ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 300000s Video, 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Veo 3.1
Google
Sora 2 Pro
OpenAI
Calculation Results (Current Inputs) (300000s video (24fps), 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) $3.200000 $3.750000
Service Fees $0.000000 $0.000000
Total Cost $3.200000 Best Value $3.750000 Most Expensive
Processing Time 2.68 seconds 2.68 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 ✓ Supported ✓ Supported
Video Support
300000 (24fps)
✓ Supported ✓ Supported
Audio Support ✓ Supported ✓ Supported
Caching Support
20
✗ Not Supported requested ✗ Not Supported requested
Batch API Support ✗ Not Supported ✓ Supported
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🔄 Compare Different AI Models

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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
GoogleMax Context: 1,000,000 tokens
$0.40/sec per second (1080p)
▼
▼
Use Batch API (50% discount)
20%
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

$3.200000 Total Cost
$0.000000 Input Cost
$0.000000 Output Cost
$3.200000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
500Total Tokens
$6.400000Cost per 1K
156Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2.68s Processing Time
200 Tokens/Second
500ms Time to First Token
200 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 Google 1000000

$3.200000
Total Cost
⚠️ Video length capped at 8 seconds maximum.
🎥 300000s Video (720p) ⚡ 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) $3.200000 Input: $0.000000
Output: $0.000000
Optimized Cost $3.200000 Input: $0.000000
Output: $0.000000
Unit: $3.200000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

For 0 input tokens and 500 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $3.200000
  • Total Cost: $3.200000
  • Cost per 1K tokens: $6.400000
  • Tokens per dollar: 156 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: 2.68 seconds
  • Latency: 500 milliseconds to first token
  • Base Throughput: 200 tokens/second

Best Use Cases

Ideal for enterprise teams migrating from legacy video generation APIs to a stableproduction-ready environment with enterprise-grade compliance.

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 →

Sora 2 Pro OpenAI 1000000

$3.750000
Total Cost
⚠️ Video length capped at 25 seconds maximum.
🎥 300000s Video (720p) ⚡ 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) $7.500000 Input: $0.000000
Output: $0.000000
Optimized Cost $3.750000 Input: $0.000000
Output: $0.000000
Unit: $3.750000
Fees: $0.000000
Total Savings $3.750000 50.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 0 input tokens and 500 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $3.750000
  • Total Cost: $3.750000
  • Cost per 1K tokens: $7.500000
  • Tokens per dollar: 133 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: 2.68 seconds
  • Latency: 500 milliseconds to first token
  • Base Throughput: 200 tokens/second

Best Use Cases

Ideal for enterprise teams migrating from legacy video generation APIs to a stableproduction-ready environment with enterprise-grade compliance.

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 →

✨ Market Recommendations AI Model Registry

← Back to Veo 3.1
📋 Active Input Parameters
Input Tokens: 0
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Video: 300000 seconds (720p)
Rank AI Model & Provider Total Cost vs Veo 3.1 vs Sora 2 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $4.043813 (rounded ~ $4.04) Best Value ↑ 26.4% more ↑ 7.8% more
🥈 Gemini 2.5 Flash
Google
 $4.852663 (rounded ~ $4.85) ↑ 51.6% more ↑ 29.4% more
🥉 Gemini 3.8 Flash
Google
 $12.131344 (rounded ~ $12.13) ↑ 279.1% more ↑ 223.5% more
#4 Gemini 3.6 Flash
Google
 $24.262688 (rounded ~ $24.26) ↑ 658.2% more ↑ 547% more
#5 Gemini 3.5 Flash
Google
 $24.262875 (rounded ~ $24.26) ↑ 658.2% more ↑ 547% more
#6 Gemini 3.1 Flash
Google
 $32.350500 ↑ 911% more ↑ 762.7% more
#7 Gemini 2.5 Pro
Google
 $80.876250 (rounded ~ $80.88) ↑ 2427.4% more ↑ 2056.7% more
#8 Grok 4.3
xAI
 $129.398000 (rounded ~ $129.40) ↑ 3943.7% more ↑ 3350.6% more
#9 Grok 4.3
xAI
 $129.398000 (rounded ~ $129.40) ↑ 3943.7% more ↑ 3350.6% more
🏆

Gemini 3.1 Flash Lite
Google

$4.043813 (rounded ~ $4.04)
vs Veo 3.1: ↑ 26.4%
vs Sora 2 Pro: ↑ 7.8%
🥈

Gemini 2.5 Flash
Google

$4.852663 (rounded ~ $4.85)
vs Veo 3.1: ↑ 51.6%
vs Sora 2 Pro: ↑ 29.4%
🥉

Gemini 3.8 Flash
Google

$12.131344 (rounded ~ $12.13)
vs Veo 3.1: ↑ 279.1%
vs Sora 2 Pro: ↑ 223.5%
#4

Gemini 3.6 Flash
Google

$24.262688 (rounded ~ $24.26)
vs Veo 3.1: ↑ 658.2%
vs Sora 2 Pro: ↑ 547%
#5

Gemini 3.5 Flash
Google

$24.262875 (rounded ~ $24.26)
vs Veo 3.1: ↑ 658.2%
vs Sora 2 Pro: ↑ 547%
#6

Gemini 3.1 Flash
Google

$32.350500
vs Veo 3.1: ↑ 911%
vs Sora 2 Pro: ↑ 762.7%
#7

Gemini 2.5 Pro
Google

$80.876250 (rounded ~ $80.88)
vs Veo 3.1: ↑ 2427.4%
vs Sora 2 Pro: ↑ 2056.7%
#8

Grok 4.3
xAI

$129.398000 (rounded ~ $129.40)
vs Veo 3.1: ↑ 3943.7%
vs Sora 2 Pro: ↑ 3350.6%
#9

Grok 4.3
xAI

$129.398000 (rounded ~ $129.40)
vs Veo 3.1: ↑ 3943.7%
vs Sora 2 Pro: ↑ 3350.6%
✨ 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.

Transitioning Your Enterprise Video Pipeline

With the sunsetting of the Sora 2 API ecosystem, enterprise teams currently running high-volume video pipelines must evaluate their path forward. Sora 2 Pro has long served as a standard for high-fidelity generative video, but as service windows close, organizations are forced to reassess their infrastructure. The shift to Veo 3.1 represents more than just a model swap; it requires re-validating motion consistency, audio synchronization, and prompt adherence in a new architectural environment.

Decision Factors for Enterprise Architects

  • Model Stability: Veo 3.1 offers a long-term production roadmap backed by Google’s enterprise infrastructure, providing a safer foundation for teams aiming to avoid the instability of sunsetting APIs.
  • Feature Parity: While Sora 2 Pro excelled in specific physics-based realism, Veo 3.1 introduces native 4K upscaling and vertical video formats that are increasingly critical for modern marketing campaigns.
  • Infrastructure Integration: Veo 3.1 is deeply integrated into Vertex AI, allowing teams to leverage existing cloud governance, IAM controls, and regional data residency requirements that are often mandatory for corporate compliance.

For teams handling 10,000 videos monthly, the priority should shift from pure generative fidelity to operational reliability. We recommend benchmarking your most complex existing prompt templates against Veo 3.1 to identify potential shifts in output style before fully migrating your orchestration layers. Focus your evaluation on consistency across batches to ensure that the move to a new underlying architecture doesn’t disrupt your brand guidelines.

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.

Related model pricing

Veo 3.1 currently costs n/a / n/a per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Other models from the same provider

See every tracked AI pricing change →