Original Reddit post

For e‑commerce content creators, monthly subscription pricing of AI video tools does not reflect real‑world operational costs. I carried out this controlled‑variable test to quantify actual expenditure for commercial‑grade product‑shot clips. I tried tracking cost per usable AI video clip in 2026, and monthly pricing told me almost nothing useful. I did a simple spreadsheet test because monthly prices were telling me nothing useful. Same product photo. Same 5‑8s hook target. Same rough motion brief, with tool‑specific style settings where needed. Important caveat before anyone turns this into a leaderboard: this is not a benchmark. One product photo, one small e‑com style batch, short stylized product hooks only. Not enough data to say which tool is best. The three rows I tracked were Runway Gen‑4, Kling 3.0, and DomoAI Animate / Seedance 2.0. Rough numbers from my own runs: Quick notes, referencing the attached table: Runway gave me the best‑looking shots when it worked. Clean camera moves, more of that polished ad look. But it also punished vague prompts the hardest. If the product shape drifted or the logo blurred, I usually had to burn a few more attempts before getting something usable. Kling had stronger motion. Handheld‑style product shots looked more natural, and the camera movement felt less stiff. The issue was packaging text. If the label mattered, I still could not trust the output without checking every frame. DomoAI Animate / Seedance 2.0 was the trade‑off option for me. I would not use it to beat Runway or Kling on realism. Where it made more sense was short stylized product motion, the kind of thing where I needed quick hook variations and cared more about source‑style retention than a glossy cinematic finish. One key observation: which tool counts as cheapest changes depending on the job. One polished hero shot favors the tool with the best first usable output. Twenty hook variations favor the tool that produced fewer weird dead ends. Anything with readable packaging text makes the whole dataset less reliable. Things I did not count cleanly: Queue time Human editing time Watermark rules Commercial use differences by plan Whether the same clip would survive client feedback Monthly pricing alone is almost useless by itself. Cost per usable clip is a better metric, but even that number breaks once packaging text, hands, and client revisions enter the frame 。 submitted by /u/Fuzzy-Radio6153

Originally posted by u/Fuzzy-Radio6153 on r/ArtificialInteligence