A client was burning $400/month on Sora 2 for B-roll that no viewer ever noticed. We swapped Seedance Fast in for the workhorse 80% of the work, kept Sora for the 5-second hero shots — bill dropped to $130, output quality held. The math is the same on every AI video stack we audit.
This post compares every major AI video generation API in April 2026 on the dimensions that actually move the bill: per-second list price, clip-length cap, audio support, real-world iteration room. The pricing below is from active client accounts, not screenshotted vendor pages.
Quick verdict
Cheat-sheet first; the per-row reasoning is below.
| Need | Pick | Why |
|---|---|---|
| Maximum volume, no audio | Seedance 2.0 Fast | $0.022/sec, 1080p, 8-second cap, ~60s generation |
| Cheapest with native audio | Veo 3.1 | $0.03/sec, cinema-grade output, audio in-model |
| Quick-and-dirty drafts | Wan 2.6 | $0.07/sec, 720p, ~20s generation — fast but only 5s clips |
| Balanced quality + cost | Vidu Q3 | $0.07/sec, 1080p, 8s, audio supported |
| Long clips with audio | Kling Video O3 | $0.085/sec, 15s clips, audio supported |
| Cinematic, brand-safe hero shots | Sora 2 or Kling 3.0 | $0.10–$0.126/sec, slower but the best motion fidelity |
| You only do 50 videos/month | Whichever has the best UI | Cost difference is < $30/mo at this volume; pick by quality |
Per-second pricing for every major model
Same workload, very different bills. Sort the table by the right column for your volume.
| Model | Provider | $/second | Max length | Audio |
|---|---|---|---|---|
| Seedance 2.0 Fast | ByteDance | $0.022 | 8s | No |
| Veo 3.1 | Google DeepMind | $0.03 | 8s | Yes (native) |
| PixVerse V4.5 | PixVerse | $0.056 | 8s | No |
| Wan 2.6 | Alibaba | $0.07 | 5s | Yes |
| Vidu Q3 | Shengshu | $0.07 | 8s | Yes |
| Kling Video O3 | Kuaishou | $0.085 | 15s | Yes |
| Hailuo 2.3 | MiniMax | $0.10 | 6s | No |
| Sora 2 | OpenAI | $0.10 | 10s | No |
| Luma Ray 3 | Luma | $0.10 | 5s | No |
| Kling 3.0 | Kuaishou | $0.126 | 10s | Yes |
| Seedance 2.0 Pro | ByteDance | $0.247 | 8s | No |
What $10 actually buys
Per-second pricing flattens once you do the per-clip math. Here's the same $10 spend across the realistic clip lengths each model supports.
| Model | Clip length | Cost per clip | Clips per $10 |
|---|---|---|---|
| Seedance 2.0 Fast | 8s | $0.176 | ~56 |
| Veo 3.1 | 8s | $0.24 | ~41 |
| Vidu Q3 | 8s | $0.56 | ~17 |
| Wan 2.6 | 5s | $0.35 | ~28 |
| Hailuo 2.3 | 6s | $0.60 | ~16 |
| Sora 2 | 10s | $1.00 | ~10 |
| Kling 3.0 | 10s | $1.26 | ~7 |
| Kling Video O3 | 15s | $1.275 | ~7 |
What the per-second sticker leaves out
Sticker pricing only covers the happy path. The actual monthly bill includes a few line items most teams forget.
- Failed generations — most APIs charge for jobs that complete, even if the output is unusable. Plan for a 15–30% discard rate on first-pass prompts.
- Regen rounds for prompt fixes — you will rerun prompts. Budget a 1.5–2x multiplier on top of base spend for any creative-quality target.
- Upscaling and post-processing — most "1080p" outputs benefit from a topaz or runway pass for client work. Add $0.02–$0.10 per second.
- Audio — silent models need a TTS or music pass. ElevenLabs / Suno / Udio costs add $0.02–$0.05 per second. Veo 3.1 includes audio inline; that's often the deciding factor.
- Aggregator markup — fal.ai, Replicate, OpenRouter, and similar add 0–25%. Direct API access is cheapest if you're past 10k clips/month.
Rule of thumb we use on client estimates: take the per-second list price, multiply by 1.7. That's the realistic monthly bill including retries, post, and audio.
Multi-model routing: the move most teams miss
Single-model setups are the biggest budget leak we see when auditing client AI stacks. The right approach is to pick a workhorse for 70–80% of jobs and reserve premium models for hero shots.
| Workload | Workhorse model | Premium model | Volume split |
|---|---|---|---|
| Social-first ad creative | Seedance 2.0 Fast | Veo 3.1 (audio hooks) | 85 / 15 |
| AI UGC creator content | Seedance 2.0 Fast | Kling 3.0 (high-motion) | 80 / 20 |
| E-commerce product motion | Vidu Q3 | Veo 3.1 | 70 / 30 |
| Brand campaign film | Veo 3.1 | Sora 2 or Kling 3.0 | 60 / 40 |
| Internal training / explainer | Seedance 2.0 Fast | Veo 3.1 | 90 / 10 |
On a typical $400/month video bill, dropping in this routing pattern cuts spend to $130–$160/month with no quality regression. The savings come from running the cheap workhorse on jobs that don't need premium fidelity (B-roll, transitions, secondary shots), and reserving the expensive model for the seconds that actually carry the story.
When to pay for Sora 2 or Kling 3.0
Premium models earn their cost on motion-heavy, character-driven, or photorealistic shots — anywhere a Seedance failure would show up as obvious AI artifacting. The cases where we still reach for them:
- Hero shots in a paid campaign — the 5-second opening of a Meta ad sees 10x more eyeballs than the rest. Spending $1.50 on Sora 2 vs $0.18 on Seedance for that one shot is a rounding error.
- Person-in-frame work — Seedance and Wan still wobble on faces and hands. Kling 3.0 and Sora 2 are noticeably cleaner, especially with multi-person shots.
- Long-form continuity — Kling Video O3's 15-second window cuts the cuts you'd otherwise need to stitch.
Outside those cases, premium models are a vanity buy. Most ad creative ships fine on Seedance Fast + Veo 3.1.
Open-source self-hosted alternatives
If you're past 100k clips/month, the math starts to favor self-hosting. Wan 2.1 / Wan 2.6 weights are released, as are some HunyuanVideo and CogVideo variants. Costs:
- GPU compute — H100 hour at $2–$4 generates roughly 3–5 minutes of 1080p. That's $0.007–$0.022/sec all-in if you keep the GPU saturated.
- Operations overhead — queue, retry, monitoring, model upgrades. Realistically a 0.25–0.5 FTE.
- Quality ceiling — open-source video lags closed-source by ~6 months on motion fidelity and prompt adherence.
Self-hosting wins on cost only if your volume justifies the ops overhead. Below 100k clips/month, route through APIs and skip the infra problem.
Where prices are heading
A few patterns from client billing data over the last few quarters:
- Per-second prices are dropping ~30% per year on the budget tier. Seedance Fast was $0.04 a year ago; Wan was $0.12. Expect $0.01/sec workhorses by mid-2027.
- Premium tier (Sora-class) is roughly flat — those models are GPU-bound and demand is still elastic.
- Native audio is becoming table stakes. Vidu, Wan, and Kling all added it in 2026; Seedance and Sora are the laggards.
What this means for budgeting: your $400/month video bill in 2026 is probably your $200/month bill in 2027 for the same output, assuming you stay on the budget tier. Don't lock in to multi-year aggregator contracts at current pricing.
How to start without committing
A reasonable trial path that doesn't require integrating five SDKs:
- Pick one aggregator first — fal.ai or Replicate gives you Seedance, Veo, Wan, Vidu, Kling, and Sora behind one API. Pay the markup for the convenience while you're testing.
- Spend $20 across 4 models — same prompt, same length, same aspect. You'll know within an afternoon which model fits your visual brief.
- Lock the workhorse, then optimize — once you know which model handles 80% of your work, switch that one to direct API access for the cost savings. Keep premium models on the aggregator.
- Add a routing layer — a 50-line Python or n8n workflow that picks the model per job based on prompt tags. This is where the multi-model savings actually show up on the bill.
We build this routing layer for clients as part of our AI Creative service. The setup pays for itself in the first month for any team spending $300+/month on video APIs.
Where video sits in the broader AI creative stack
Video is one piece. The other piece is what feeds the prompts: image references, brand guidelines, copy variants. A model running a $0.022/sec video API is wasted if the prompt and reference inputs are bad. See our take on AI marketing creative for the upstream side, and n8n vs Zapier for the workflow plumbing that ties prompt generation to video generation to delivery.