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Muse Spark 1.2 Contributor

Muse Spark 1.2 Contributor serves the same weights as Muse Spark 1.2 at a substantially lower rate, in exchange for Meta using your inputs and outputs to train its models. Your use is subject to Meta's Terms & Privacy Policies.

ReasoningTool UseImplicit CachingFile InputVision (Image)
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import { streamText } from 'ai'


const result = streamText({
  model: 'meta/muse-spark-1.2-contributor',
  prompt: 'Why is the sky blue?'
})
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Copy link to headingFrequently Asked Questions

  • Is Muse Spark 1.2 Contributor a different model from Muse Spark 1.2?

    No. Same weights, same capabilities, same context window of 1.0M tokens. Only the commercial and data-use arrangement differs.

  • What is the tradeoff for the lower price?

    Meta uses your inputs and outputs to train and improve its models. That makes it an eligibility question about your data rather than a pricing question.

  • What work is appropriate for Muse Spark 1.2 Contributor?

    Public, synthetic, permissively licensed, or explicitly approved material. Keep client repositories, personal data, secrets, unreleased product logic, and NDA material on the standard tier.

  • Could an agent share more than I intend?

    Yes. An agent can read terminal output, generated files, and neighbouring directories, so context can include material a developer never consciously submitted. Scope the working directory before pointing an agent here.

  • Where are the exact retention and deletion terms?

    In your Meta developer account, which takes precedence over any summary. Public documentation on retention period, deletion process, and regional eligibility is limited.

  • Can I use both tiers in one project?

    Yes. The model can be switched mid-session without losing context, so routing eligible tasks here and everything else to standard Muse Spark 1.2 is a workable pattern.

  • Does Muse Spark 1.2 Contributor support Zero Data Retention?

    Zero Data Retention is not currently available for this model. Zero Data Retention is offered on a per-provider basis and is a separate matter from this tier's training arrangement. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.