The standard Muse Spark tier promises Meta will not train on your prompts and completions. The contributor tier hands that promise back and charges roughly a twelfth as much for input tokens, with a request cap to match.
Publishers:ai.developer.meta.com
Reality
- Evidence80
- Adoption
- Insufficient
- Hype gap+8
- Incentives85
- Confidence68
The entry plan allows 10 to 50 prompts every five hours, and the page does not say what puts a subscriber at either end of that band. Running out mid-session points the developer at a prorated upgrade.
Publishers:ai.developer.meta.com
Reality
- Evidence62
- Adoption
- Insufficient
- Hype gap+15
- Incentives88
- Confidence55
A 61 on Artificial Analysis's index no longer requires flagship pricing. That changes what agent workloads should cost this quarter. The same release also grew dearer than its own predecessor and slipped on two evaluations.
Reality
- Evidence68
- Adoption22
- Hype gap+18
- Incentives58
- Confidence55
Muse Voice Transcribe claims diarization, endpointing and mid-sentence language switching in a single pass at $3 per 1,000 audio minutes, which makes the buying question less about accuracy scores than about which 25 languages Meta validated.
Reality
- Evidence30
- Adoption38
- Hype gap+42
- Incentives78
- Confidence45
Muse Voice Transcribe's benchmark lead rests on three-tenths of a point across about eight hours of English audio, which is thinner evidence than the $0.18 hourly rate sitting underneath it.
Reality
- Evidence58
- Adoption28
- Hype gap+24
- Incentives68
- Confidence60
Muse Spark 1.2 costs roughly 18 times less if Meta may train on your prompts. The deepest cut, 75x, sits on cached input, which is where an agent holding your codebase in context spends.
Publishers:deeplearning.ai
Reality
- Evidence56
- Adoption16
- Hype gap+22
- Incentives78
- Confidence48