AI video generation pricing has become granular enough that marketing teams can now budget down to the second of output, comparing tools like Pika, Runway, Veo, and Kling side by side before committing production budgets. A new cost calculator designed for social media marketers breaks down exactly what a 15 to 30 second clip costs on each platform, accounting for resolution, re-renders, and monthly volume to help teams decide between pay-per-use and subscription plans.

How Much Does One AI Short Video Actually Cost?

The pricing model for AI video generation has shifted from flat monthly fees to per-second billing, making it possible to estimate costs with precision. A typical 15 to 30 second clip ranges from tens of thousands to a few hundred thousand Vietnamese Dong (VND) per video, depending on the tool selected and the number of re-renders required when a take misses the mark. This granular pricing structure means that failed renders count against your budget, so teams can forecast total campaign spend with confidence rather than guessing per video.

Resolution choice directly impacts the final bill. Higher quality outputs cost more per second, so teams must balance visual fidelity against their total budget envelope. The calculator accounts for this trade-off by pricing render by the second plus chosen resolution, then adding the re-renders needed when a take doesn't meet expectations, and totaling it against the number of clips planned each month.

Which AI Video Tool Should Your Team Use for Short-Form Content?

Choosing between Pika, Runway, Veo, and Kling depends on three factors: clip length, motion style, and budget constraints. Each tool leads in something different, so the decision isn't one-size-fits-all. The cost calculator lines up quality, maximum length per generation, and per-second price across all four platforms, then recommends a tool and plan based on your specific needs.

Marketing teams now test dozens of short video variants across paid social and organic feeds every month, making cost efficiency a core concern. The clips shipped fast also feed the articles that rank and get cited in AI answers, so the production volume has real business implications beyond just social media reach.

How to Budget for AI Video Production at Scale

• Assess Your Output Pattern: Steady weekly output usually favors a monthly subscription plan on a per-clip basis, while campaign bursts with heavy then quiet weeks favor pay-per-use pricing. The calculator estimates your break-even point by clips per month, with pricing kept current.
• Factor in Re-Renders: The budget tool counts failed renders too, so your total spend accounts for the reality that not every generation hits on the first try. This prevents surprise overages when a take needs adjustment.
• Balance Volume, Length, and Resolution: You get one clear budget figure for the whole campaign instead of guessing per video, and you can adjust volume, length, and resolution to fit your available budget. This flexibility lets teams optimize for both cost and quality.

The real challenge for marketing teams isn't just cheap content production; it's getting cited by AI answer engines. ChatGPT, Gemini, and Perplexity now recommend sources to users asking questions, so visibility in those systems drives traffic and orders. Measuring your brand's visibility in AI answers and search results has become as important as tracking traditional SEO metrics.

For teams building AI into their own products or apps, developer-focused calculators are available separately. The figures provided are budgeting estimates rather than actual invoices, so teams should treat them as planning tools to inform production decisions and resource allocation.