Cost Per AI Video by Model in 2026: A 30x Spread Explained

There is no single answer to "what does an AI video cost in 2026", because the per-second prices across the seven models that actually matter range from about 2p to about 60p. That's a 30x spread on the same input. The interesting question isn't the headline price; it's which model's price-per-second is justified for which use case, and where the hidden costs blow up the maths.

Most DTC marketing teams use the wrong model for the wrong job. They run Cinematic-grade Veo 3.1 generations on hook tests where the audience won't notice the difference, then cheap-out on the hero placement where the cinematography matters. The cost-per-finished-ad is two to four times what it should be.

This is the actual cost picture, model by model, with the bits the model providers don't put on their pricing pages.

Why per-second pricing varies 30x across the same category

Three things drive the spread.

First, the underlying compute. Veo 3.1 and Sora 2 Pro are running on the most expensive infrastructure. Hailuo and Kling 3.0 are running on Chinese cloud at a fraction of the unit cost. Seedance sits in the middle. The unit-economics floor is real and isn't going to converge soon.

Second, the audio. Models that generate synchronised audio (Veo 3.1, Sora 2 Pro) pay a heavy compute premium. Models that output silent video and hand off audio to a separate stage cost noticeably less. For DTC ads where you're laying voice-over and music in post anyway, the synchronised audio is a feature you're paying for and not using.

Third, the resolution and duration ceiling. Native 1080p generation at 10 seconds is meaningfully more expensive than 720p at 5 seconds. The model you've heard of probably runs at the upper bound by default; the model you haven't heard of probably runs at the lower bound. The "headline" number you see is rarely the same configuration.

Per-model 2026 cost breakdown

Approximate API/platform pricing as of May 2026, for a standard 5-second 720p clip. Prices change. Treat as orientation, not a quote.

Veo 3.1 (Google)

Around 50p to 60p per second of finished video, so £2.50 to £3.00 for a 5-second clip. Top tier on cinematography, lighting, and physical realism. Native synchronised audio. Best in category for any shot where production value is what's selling. Expensive for hook tests where 90% of variants will be killed in 24 hours.

Sora 2 Pro (OpenAI)

Around 40p to 50p per second, so £2.00 to £2.50 for 5 seconds. Strong on character consistency across cuts, which matters for testimonial formats. Slightly weaker than Veo on physics-heavy shots (liquid pours, fabric movement). Audio quality is roughly Veo-equivalent. The right pick when you need the same person across multiple variants.

Kling 3.0 Pro (Kuaishou)

Around 15p to 25p per second, so 75p to £1.25 for 5 seconds. Surprisingly competent on cinematic shots given the price; the main gap is in subtle facial micro-expressions. Often the best price-quality balance for product-focused shots where the talent is secondary. Note: training data is heavier on East Asian visual references, which sometimes shows up in casting style.

Hailuo (MiniMax)

Around 10p to 18p per second, so 50p to 90p for 5 seconds. Cheapest of the credible options. Best used for high-volume hook testing where you'll generate 50+ variants and kill 47. Loses to Veo or Sora on hero ad placements.

Seedance (ByteDance)

Around 25p to 35p per second, so £1.25 to £1.75 for 5 seconds. Sits between Kling and Sora on quality and price. Distinct strength: short-form mobile-first compositions that read well on TikTok. Native vertical aspect ratio handling is better than the others.

Grok Imagine (xAI)

Pricing fluctuates depending on whether you're routing through the consumer subscription or a separate enterprise tier; effective per-clip cost has been £1.50 to £4.00 in our testing. Quality is wildly variable: spectacular on some prompts, distorted on others. Worth experimenting with for stylised work; not currently the right pick for predictable production output.

Runway Gen-4 / Pika 2.0

The two veteran consumer-facing tools. Both around 30p to 45p per second. Strong workflow tooling (variants, masking, frame interpolation) but the underlying generation quality has been overtaken by Veo and Sora through 2025 and 2026. The reason to pick them is the editor, not the model.

The hidden costs that wreck the maths

The per-second price is the price you see. The actual cost-per-finished-ad is higher and depends on three multipliers.

Re-roll rate. If you generate 5 variants and 4 are unusable, your effective cost is 5x. Veo 3.1 on a well-briefed shot has roughly a 30% re-roll rate; Hailuo on the same shot is more like 60%. The "cheap" model isn't cheap if you're paying 2.5x because of re-rolls.

Prompt iteration time. A new prompt that needs five tweaks to land costs human time on top of generation cost. £3 of compute can sit on top of £30 of person-time fixing the brief. Tools that translate one canonical brief into the right shape per model save more than they cost; tools that make you rewrite the same brief seven times destroy the maths even if the per-second cost is low.

Post-production. Audio replacement, captioning, trimming, colour-matching across cuts. Generally £5 to £20 per finished ad if you're doing it competently. Adds up to more than the model cost across a 50-variant test campaign.

The result: the actual cost-per-finished-ad ready to ship to Meta is rarely under £8 to £15, even for cheap models, once re-rolls and post are included. The upside is that traditional UGC creator costs are £350 to £900 per finished asset, so even 15x AI overhead is still 25x cheaper than human production. The maths is the maths; just don't pretend it's the headline 50p.

When premium models are worth it

A simple decision rule that holds up across DTC categories:

• Hero placement (top-of-funnel, sustained spend, the one ad you're scaling to £40k of media): use Veo 3.1. The quality gap shows. People can feel a £3 ad on a £40k spend.
• Mid-funnel testimonial (creator-style, recurring use): use Sora 2 Pro for character consistency.
• Hook tests (the 30 variants you'll kill in 24 hours): use Hailuo or Kling. Volume matters more than polish.
• TikTok-native short-form: Seedance for the vertical handling.
• Stylised / experimental: Grok Imagine if you have time to iterate.

Most teams pick one model and use it for everything. That's the pattern that produces the worst cost-per-finished-ad because you're either over-paying on tests or under-delivering on hero placements. The teams that scale efficiently route different briefs to different models.

How model orchestration changes the cost equation

Manually translating the same brief into seven model-specific prompt formats is the kind of work that destroys a marketing team's week. Veo wants different syntax to Sora, which wants different syntax to Kling. The brief that produces a hero shot in Veo will produce uncanny garbage in Hailuo unless rewritten.

Tonic Studio handles this through per-model translation. One canonical brief, translated automatically into each model's preferred prompt shape, with the platform routing to the right model based on the placement type. Hook tests go to the cheap-and-fast lane; hero shots go to the premium lane. The DTC marketer briefs once and gets the right cost per use case without thinking about model selection.

This is also where the show-me-the-prompt transparency matters. Tonic exposes the per-model prompt the platform sends so you can debug when output doesn't match brief, and learn the patterns over time. The opaque "creative AI" tools that hide the prompt make it impossible to develop intuition for what works.

For the per-vertical compliance angle, the supplement and skincare verticals have separate pre-flight checks layered on top of model selection.

FAQ

What's the cheapest viable model for DTC ad testing in 2026?

Hailuo if you accept a 60% re-roll rate. Kling 3.0 Pro if you want a better re-roll rate at slightly higher cost. Both produce usable hook variants when paired with a tight brief.

Is Veo 3.1 worth the premium over Sora 2 Pro?

For hero placements with significant media spend behind them, marginally yes; the cinematography gap is real but narrow. For everything else, the cost difference doesn't justify the quality difference.

How do I know which model my brief should use?

Match the brief to the placement: high-spend hero shots get the expensive model, hook tests get the cheap one. If you're using a platform that routes automatically based on the brief type, you don't have to think about it.

Are these prices stable or are they dropping fast?

Per-second prices have come down 40-60% across the leaderboard since 2024 and are still falling. The cost differences between models are also narrowing. The decision rule based on quality (not price) will outlast the specific 2026 numbers.

What about open-source models?

Open-source video generation runs on your own infra, which means the unit cost depends on your GPU billing and engineering time. It's only cheaper than hosted Hailuo or Kling for very high volumes (thousands of videos per day) where the engineering investment amortises. Below that, hosted is cheaper than self-hosted by every meaningful measure.

---

100 free credits to test how Tonic routes briefs across the model leaderboard: tonicstudio.ai/signup?promo=UGC100.