We’re excited to bring @AIatMeta’s Muse Spark 1.2 contributor tier to OpenRouter.
At $0.10/M input and $0.20/M output, It’s meaningfully cheaper than Muse Spark 1.2 and beats other comparable models on real cost, providing frontier intelligence-per-dollar.
Muse Spark 1.2 contributor tier is available now on OpenRouter.
Your prompts and outputs may be used to improve Meta's products, making it ideal for experimentation, learning, and early-stage projects without worry about spend
https://t.co/JWV1yU9CG1
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
Why it matters
A frontier-class coding model at $0.10 in and $0.20 out per million tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → is viable for experiments and evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition →, provided the workload can tolerate prompts and outputs being used for training.
