Veo 3.1 Google 1000000
$3.200000
Total Cost
⚠️ Video length capped at 8 seconds maximum.
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
Output: $0.000000
Optimized Cost
$3.200000
Input: $0.000000
Output: $0.000000
Unit: $3.200000
Fees: $0.000000
Output: $0.000000
Unit: $3.200000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000,000 input tokens and 1,000,000 output tokens:
- Input Cost: $0.000000
- Output Cost: $0.000000
- Unit Cost: $3.200000
- Total Cost: $3.200000
- Cost per 1K tokens: $0.001600
- Tokens per dollar: 625,000 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: 2 hours, 46 minutes, 40.18 seconds
- Latency: 500 milliseconds to first token
- Base Throughput: 200 tokens/second
Best Use Cases
High-end CinematographySynced Audio Video
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.
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← Back to Veo 3.1
📋 Active Input Parameters
Input Tokens:
1,000,000
Output Tokens:
1,000,000
Video:
20 seconds (720p)
| Rank | AI Model & Provider | Total Cost | vs Veo 3.1 |
|---|---|---|---|
| 🏆 |
Gemini 2.5 Pro
Google
|
$17.513150 (rounded ~ $17.51) Best Value | ↑ 447.3% more |
🏆
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$17.513150 (rounded ~ $17.51)
vs Veo 3.1:
↑ 447.3%
✨ 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.
Next-Generation Veo 3.1 Intelligence
Veo 3.1 is a frontier model from Google optimized for the 2026 AI landscape.
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 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.