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Credits or flat fee: which pricing model fits an automated video pipeline?

Why FeedReels uses credits, how to budget them, and how cost transparency changes the conversation with clients and stakeholders.

FeedReels Team
·· 2 min read

Most AI video tools quietly hide their unit economics behind a flat monthly fee. That works until your usage grows or shrinks — then you're either overpaying or rate-limited.

Why credits

A credit-based model maps cleanly to real production cost: 1 credit = 1 generated video including script, voice, edit and captions. You scale exactly with your publishing cadence — no commitment, no over-allocation.

How to budget

Estimate daily output × 30 to get monthly credits. Multi-language fan-outs count once per output language. Add a 10–20% buffer for reruns and approvals that bounce back.

Cost transparency

FeedReels exposes per-video cost in the workspace. For agencies, this lets you set retainers grounded in real numbers; for in-house teams, it lets you justify spend to finance without opening a black box.

When a flat fee makes sense

If you publish at a perfectly predictable volume year-round, a flat plan can be cheaper. For anyone scaling or running multiple seasonal campaigns, credits stay more honest.

Frequently asked questions

How does the FeedReels credit model work?+

1 credit equals 1 generated video (script + voice + edit + captions). You scale exactly with publishing cadence, no commitment, with extra credit packs available anytime.

How do I estimate monthly credits?+

Daily output × 30, multiplied by the number of output languages for multilingual fan-outs, plus a 10–20% buffer for reruns and rejected approvals.

Can I see what each video costs?+

Yes. Per-video cost is exposed in the workspace, so agencies can price retainers honestly and in-house teams can justify spend to finance.

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