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Meta is offering a cheaper Muse Spark 1.2 "contributor" tier priced at $0.10/1M input and $0.20/1M output tokens in exchange for using user prompts for training (Wall Street Journal)
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Meta introduced a discounted "contributor" tier for its Muse Spark 1.2 model that charges $0.10 per million input tokens and $0.20 per million output tokens in exchange for permission to train on user prompts.
This pricing model creates a direct trade-off between inference cost and data privacy, forcing teams to decide whether token savings justify surrendering prompt data to Meta's training pipeline. Engineers integrating this API must now treat pricing decisions as data governance decisions.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
The contributor tier prices input tokens at $0.10 per million and output tokens at $0.20 per million.
Users who opt in grant Meta permission to use their prompts for model training.
Only one feed is carrying this story, so corroboration of the terms is limited.
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