Most AI companies let you opt out of sharing your data with a toggle and a privacy policy. Meta looked at that convention and decided to turn it into a business model.
The company launched Muse Spark 1.3 on September 2, offering two distinct pricing tiers for its latest coding-focused AI model. The standard tier runs $1.25 per million input tokens and $4.25 per million output tokens. The “Contributor” tier, meanwhile, drops those figures to $0.10 and $0.20 respectively. The catch: your prompts, responses, and usage patterns get fed back into Meta’s training pipeline.
The math behind the discount
Those Contributor tier numbers represent a 12x to 21x discount depending on the token type. Cached input tokens, which let developers reuse context without reprocessing, fall from $0.15 per million on the standard plan to $0.002 on the Contributor plan. That’s a 75x reduction for cached inputs, making it almost trivially cheap to run repeated workflows.
The Contributor tier caps developers at 60 requests per minute, compared to 3,000 on the standard plan. That 50x reduction in throughput makes the discount tier essentially unusable for production-scale applications.
