What is the cheapest AI video generation API?

It depends on the model and length you need. Compare the normalized per-second or per-clip price for your chosen model (Veo, Kling, Runway, Luma, Hailuo, Wan and others) across the hosts that serve it, since the same model can cost different amounts on different APIs.

Why is AI video generation so expensive?

Video is GPU-heavy and you pay for every second of output, plus the cost of re-rolling prompts until a clip is usable. A few seconds can cost more than hundreds of images.

How do I reduce AI video costs?

Prototype at low resolution and short length, lock the prompt on a cheaper model first, use image-to-video to cut re-rolls, and cache every generation.

Are there free AI video credits?

Some inference hosts include video models in their signup credits. Check the Perkstack catalog for the current, dated offers.

The Cheapest AI Video Generation API in 2026 (Veo, Kling, Runway)

AI video is the most expensive media to generate. Here is how to find the cheapest video generation API in 2026 across Veo, Kling, Runway, Luma and more without burning credits.

AI video is the most expensive media to generate, by a wide margin. A few seconds of generated video can cost more than thousands of LLM tokens or hundreds of images, so picking the right model and host matters more here than anywhere else. Here is how to find the cheapest AI video generation API in 2026 without burning your credits.

See live per-model comparisons in the Perkstack rankings.

How AI video pricing works

Most video APIs bill in one of two ways:

Per second of output. You pay for the length of the clip, often with a higher rate for higher resolution or frame rate.
Per clip or per generation. A flat price for a fixed-length clip at a given setting.

Because a single generation can run into real money, the cost of iterating (re-rolling prompts until you like the result) is the part that quietly adds up. Budget for several attempts per usable clip.

The models worth comparing

The video space moves fast, but the models you will see most often are Google Veo, Kling, Runway, Luma Dream Machine, Hailuo (MiniMax), Pika, OpenAI Sora and the open Wan family. They differ a lot in price, maximum length, resolution and how well they follow prompts.

Several of these are served through aggregating hosts (for example fal, Replicate and kie.ai) as well as their own APIs, and the per-second price for the same model can differ between them.

Find the cheapest host per model

As with images and LLMs, once you have chosen a model the cheapest host is the main lever. Compare the normalized per-second or per-clip price across the hosts that serve it, rather than defaulting to the first API you find. Our rankings track this for the video models we follow and are re-pulled weekly.

Keep video costs sane

Prototype at low resolution and short length, then regenerate the winner at full quality. Do not iterate at maximum settings.
Lock the prompt on a cheap model first. Nail the shot description on a lower-cost model, then move the final render to a premium one only if you need it.
Cache aggressively. Store every generation with its prompt and seed so you never pay twice for the same clip.
Use image-to-video where it helps. Starting from a generated still (much cheaper) can reduce expensive re-rolls.

Free and trial video credits

Some inference hosts include video models in their signup credits, so you can test a few generations before paying. The current, dated list of credits and free offers is in the catalog. For the broader set of free AI options, see how to use AI for free.

Bottom line

Video is where careless defaults get expensive fastest. Choose the right model for the shot, render drafts small and short, and route the final job to the cheapest host per model. Compare options in the rankings and claim credits from the catalog with a free account.