CTRBench: open benchmarks for AI YouTube production.
CTRBench is a set of open, auditable benchmarks for what it costs, in money and in hours, to produce faceless YouTube videos with AI. Every external number is taken from a vendor's live public pricing page with a date and a source link. Every modeled number publishes its assumptions so you can re-run the arithmetic. CTRmaxxing publishes and maintains CTRBench, and that disclosure appears on every page.
How the benchmarks are built
Published assumptions
Every modeled figure states its assumptions inline: script length, iteration counts, token workloads, narration pace. If you disagree with an assumption, you can change it and re-run the arithmetic yourself.
Public pricing sources
External numbers come only from vendors' live public pricing pages, quoted with an as-of date and a source link. We do not use hearsay, screenshots from third parties, or numbers we could not verify on the vendor's own site.
Estimates labeled as estimates
Modeled costs are good-faith estimates, not absolute truth. Real workloads vary widely, so we publish ranges and sensitivity notes instead of a single false-precision number.
Refresh cadence
Each external figure carries the date we verified it. We re-check sources when we update a benchmark and aim to re-verify at least quarterly, or sooner when a vendor changes published pricing.
Disclosure
CTRmaxxing publishes and maintains CTRBench. Where a benchmark reaches an editorial conclusion, it is labeled as our own assessment and the underlying numbers are shown so you can audit them.
Benchmarks
What a 10-minute faceless video actually costs
Four routes compared on money and hands-on hours: DIY with a Claude-class API, DIY with a GPT-class API, VidRush, and CTRmaxxing. Verified vendor pricing with sources, modeled arithmetic with published assumptions, and an honest section on when DIY is the right call.
For CTRmaxxing's own current plans and per-minute figures, see /pricing. For field notes on faceless YouTube production, see the blog.