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1,048,576 input tokens is the ceiling for Meta’s Muse Spark 1.3 on Google Cloud, but the preview skips batch predictions and Provisioned Throughput. Would you put a preview model with no batch mode into production, or wait?
At $0.14 per task against $0.41 for Claude Haiku 5.5, Meta’s Muse Ember matches Haiku’s score by Meta’s own estimate, while charging the same per-token rates. Is your go-to small model right now Haiku or something else?
“Temporary versus permanent” is the line Meta’s new Muse models learned to draw in what you tell them. On Meta’s own eval, they now use critical context in 90% of tasks, up from 76%. How many days back do you want an assistant to remember your chats?
