The Meta Muse Spark pricing model, disclosed alongside the model’s public preview launch, offers developers a choice that most AI companies have left implicit: share your prompts and outputs with Meta, and your API bill drops by roughly 95% .
Under the standard agreement, one million input tokens costs $1.25 ; under the contributor tier, that same volume costs $0.10. Output tokens fall from $4.25 per million to $0.20. The framing is that developers “contribute” to future model development by letting Meta train on their data. The commercial reality is that Meta has a training-data problem, and it is now willing to pay to solve it.
Meta Muse Spark Pricing and the Data Collection Problem Muse Spark 1.1, available via the Meta Model API in public preview, supports a one-million-token context window, full multimodal input including images, video and PDFs, built-in search with citations, and parallel tool calling, according to the Meta AI blog . The Meta developer page also lists companion models in the Muse family: Muse Voice Transcribe for streaming transcription at $0.18 per hour, Muse Image for agentic image generation at $0.01 per image, and an open-weight model called Muse Glimmer ...