You may be wasting 70% of your tokens: 3 steps to stop it + Seedance & MiniMax H3, tested

The expensive mistake in AI video isn’t picking the wrong model — it’s generating at full resolution before you know whether the shot is any good. You pay top rate for every take, and most takes get deleted. This video walks through a three-step workflow that keeps the strong model but stops paying full price for the rejects, then puts Seedance and MiniMax H3 side by side on real generations.

What the video covers

• Where the waste actually comes from — why paying full resolution on every attempt is the leak, not the model choice.
• Step 1: generate low-res, with the best model — don’t downgrade the model to save money, downgrade the resolution. You’re buying the composition and motion, not the pixels.
• Step 2: select the keepers — review the cheap takes and pick only the ones that actually work. This is where the savings are realized.
• Step 3: upscale the winners — run the selected shots through an upscaler instead of regenerating them at high resolution.
• Seedance vs MiniMax H3, hands-on — the same prompts through both, comparing what each one is actually good at rather than reading spec sheets.

Why this order matters

Generating at high resolution first, then culling, means you paid full price for every frame you deleted. Reversing it — cheap generation, human selection, then upscale once — means full resolution is only ever spent on shots you’ve already decided to keep.

If you like honest head-to-head testing, the Kimi K3 vs Claude comparison takes the same approach to model choice. And for the generation craft that feeds this pipeline, see the AI storyboard workflow.