Veo 3.1 Pricing Explained: Every Way to Pay
Veo 3.1 pricing spans four routes: the Gemini app tiers, Google Flow credits, the Vertex AI per-second API, and per-clip on 8frame. Here's what each actually costs, with campaign math.
Veo 3.1, Google's flagship AI video model, does not have one price. It has four, because Google sells access through four separate doors and each door meters the cost differently. There is the Gemini consumer app on a subscription, Google Flow on a credit system, the Vertex AI developer API billed per second, and per-clip access on third-party canvases like 8frame. The same 5-second clip can cost you anywhere from a fraction of a monthly subscription to $6 on the raw API, depending on which door you walk through.
This guide lays out all four routes with verified current rates, then does the campaign math so you can see which one fits your volume. If you only want the definition of the model itself, what is Veo 3 covers that. This is the money article.
The four ways to pay for Veo 3.1
1. The Gemini app (subscription)
The consumer route is a Gemini subscription. The free tier gives limited Veo access through a small monthly credit allowance. Google AI Pro, at roughly $19.99 a month, unlocks Veo 3.1 generation with around 1,000 monthly AI credits. Google AI Ultra, at roughly $249.99 a month, is the top consumer tier with a far larger credit pool and priority access to the newest model versions.
This route is the simplest and the best fit if Veo is one of several things you want from a Gemini subscription you were going to pay for anyway. It is a subscription, so the cost is fixed whether you generate one clip or a hundred, up to the credit ceiling.
2. Google Flow (credits)
Flow is Google's dedicated creator front-end for Veo, and it prices per generation in credits. A Veo 3.1 Lite generation costs around 10 credits, Fast costs around 20, and the full Quality preset costs around 100 credits per clip. Non-subscribers get a small pool of free daily credits to test with. Flow credits come bundled with the Google AI Pro and Ultra subscriptions above, so in practice Flow is where the Gemini-tier credits get spent on video.
The catch is the same as any credit system: the model preset you choose swings the cost by 10x, and the Pro tier's roughly 1,000 credits translate to only about 10 full-Quality videos a month. If you want the cinematic ceiling Veo is known for, that ceiling is expensive in credit terms.
3. Vertex AI (per-second API)
For developers building Veo into their own product, Google's Vertex AI exposes the model on a per-second billing model. The published rate for the Veo 3 Standard tier is around $0.75 per second of generated video, billed through your Google Cloud account. A standard 8-second clip therefore runs about $6.00. Organizations committing to minimum monthly spend can negotiate discounts in the 10 to 30 percent range.
The Gemini API offers cheaper variants for lower-quality tiers, with Fast presets around $0.10 per second and Lite around $0.05 per second at 720p, scaling up to $0.40 per second for the Standard preset. This route makes sense only if you're writing code against the model and want raw programmatic access. There is no canvas, no UI, and no chaining to other models. You build all of that yourself.
4. Per-clip on 8frame
The fourth route is per-clip access on the 8frame canvas. Veo 3.1 runs $0.85 to $1.20 per 5-second clip depending on resolution and audio settings, with no subscription and no credits to expire. You pay for the clip, you get the clip. Generation takes about 90 seconds and outputs native 4K at 60fps with synchronized audio.
The reason this route exists alongside Google's own is that Veo rarely gets used alone. Real production chains it with other models: a reference still from Nano Banana Pro, a cheaper draft pass on Kling, an upscale on Topaz. On a multi-model canvas you run Veo next to Kling 3.0, Seedance 2.0, and 13 other models on the same surface, route each shot to the right model, and pay per clip across all of them. Google's routes give you Veo and only Veo.
Pricing math by route
Here is the same 5-second clip priced four ways, using current mid-2026 rates. Ranges reflect the model presets and subscription context.
| Route | How it meters | Cost of one 5s clip | Best for |
|---|---|---|---|
| Gemini app (Pro) | Subscription + credits | ~$20/mo flat, ~10 Quality clips | Occasional creators already on Gemini |
| Google Flow | Credits per generation | ~100 credits (Quality) | Creators inside the Google ecosystem |
| Vertex AI | Per second | ~$3.75 (Standard, 5s) | Developers building on the API |
| 8frame | Per clip | $0.85 to $1.20 | Multi-model production, uneven volume |
The Vertex number surprises people. At $0.75 per second, the raw API is the most expensive way to generate a finished clip unless you're operating at negotiated enterprise volume. It's priced for products that resell generation, not for teams making ads.
Worked example: a 30-second product spot
Say you're cutting a 30-second product video from six 5-second Veo clips, and you generate roughly three variants of each shot before picking winners. That's 18 generations to land 6 keepers.
On Vertex AI: 18 clips at 5 seconds and $0.75 per second is about $67.50 in compute for the spot, before any upscaling or retries. Predictable, but you're paying premium API rates for every throwaway draft.
On Google Flow (Pro tier): 18 Quality generations at ~100 credits each is 1,800 credits, which exceeds the ~1,000 monthly credits the Pro plan includes. You'd need the Ultra tier or a top-up to finish one spot at full quality in a month.
On 8frame: 18 clips at roughly $1.00 each is about $18 for the spot. And because it's per-clip, you'd draft the 12 losing variants on a cheaper model like Kling at $0.30 each and only run the 6 winners on Veo, dropping the real cost closer to $10. That draft-cheap, finish-expensive move is only available when the models live on the same canvas.
The single biggest lever on Veo spend is not the route. It's not generating expensive Veo drafts you're going to throw away. See the AI video credits explainer for the full waste-reduction sequence.
When Google's own routes are the better call
Per-clip access is not always the answer, and pretending otherwise would be dishonest. Google's routes win in specific cases.
If you're already paying for Google AI Pro or Ultra for Deep Research, Gemini, or storage, Veo access is effectively bundled and the marginal cost of a clip is zero until you hit the credit ceiling. If you're a developer building Veo into a product and need programmatic control, deterministic latency, and Google Cloud billing integration, Vertex AI is the correct route and no canvas replaces it. And if you generate a very high, steady volume of Veo specifically, the Ultra tier's large credit pool can beat per-clip rates at the top of the volume curve.
The per-clip route wins on the things those cases don't cover: uneven volume, multi-model chaining, no subscription commitment, and an invoice that matches the clips you shipped. For a fuller decision walkthrough, how to use Veo 3.1 covers every access option step by step.
FAQ
How much does Veo 3.1 cost per video?
It depends entirely on the route. On the Vertex AI API it's about $0.75 per second, so roughly $3.75 for a 5-second clip. On the 8frame canvas it's $0.85 to $1.20 per 5-second clip. Inside a Gemini subscription it's bundled into a monthly fee of roughly $20 (Pro) or $250 (Ultra) with credit limits.
Is Veo 3.1 available for free?
Partially. The free Gemini tier and Google Flow both give a small pool of free credits or daily allowances that let you generate a handful of clips to test the model. For any real production volume you'll move to a paid route quickly, because the free allowances are sized for evaluation, not delivery.
What is the cheapest way to use Veo 3.1?
For low, uneven volume, per-clip pricing on a canvas like 8frame is usually cheapest because you pay only for the clips you keep and can draft on cheaper models first. For high, steady volume on Veo specifically, a Gemini Ultra subscription's large credit pool can come out ahead. Run your own monthly clip count through both before committing.
Is the Vertex AI API price really $6 for one clip?
Yes, for a standard 8-second clip at the Veo 3 Standard rate of about $0.75 per second, before any enterprise discount. The API is priced for products that build on top of Veo, not for end users making individual videos, which is why per-clip canvas access exists at a fraction of the cost.
Run Veo 3.1 per clip alongside 15 other models, no subscription required. Open the 8frame canvas and generate your first Veo clip on the free tier.