Meta Will Cut Your Token Bill 20x. The Price Is Your Prompts.
This title could be clearer and more informative.Try out Clickbait Shieldfor free (5 uses left this month).
Meta launched Muse Code, a coding agent powered by the Muse Spark 1.2 model, with a two-tier pricing structure. The 'Contributor' tier is roughly 12-21x cheaper than the standard tier, but the discount is funded by Meta training on your prompts and completions. The standard tier offers zero-data-retention. The post argues that coding data is uniquely valuable because it self-grades — every session captures a problem, an attempt, and a verdict from real work. The author warns that the 20x price gap will drive adoption by default, making the data policy a de facto governance decision for many teams. The post also promotes Kilo Gateway as a way to route to Muse Spark 1.2 at the standard (non-training) rate while keeping model and data choices separate.
Table of contents
Read the two prices before you read the benchmarksWhy code is the data Meta actually needsWe turned the trade into a gameDistribution wins, so the terms travel with itSourcesQuestions this post answers
What are the two pricing tiers for Meta Muse Code and what is the difference?
Muse Code has a Standard tier and a Contributor tier for the same underlying Muse Spark 1.2 model. The Contributor tier is approximately 12.5x cheaper on input tokens and 21.25x cheaper on output tokens, but Meta trains on your prompts and completions at that tier. The Standard tier does not use your data for training. The Contributor tier is also rate-limited well below Standard, so you pay for the discount in both data and throughput. Teams deciding which tier to adopt are tracking this kind of AI pricing and policy news on daily.dev.
Does Meta train on my code if I use Muse Code?
It depends on the tier. The Contributor tier explicitly allows Meta to train on your prompts and completions — that data exchange is how the ~20x price discount is funded. The Standard tier does not train on your data. Meta is also starting to accept zero-data-retention requests for enterprise customers, similar to options already offered by OpenAI and Anthropic. Developers navigating AI data policies for their codebases keep up with these decisions on daily.dev.