Introducing Our Smallest, Most Efficient Model: Muse Ember · Meta · November 9, 2026
Meta ships Muse Ember, a $0.10 and $0.50 per million token model aimed at subagent work
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Meta lists muse-ember-1.0 at $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 200K tokens, with a 1M-token context window and up to 512K output tokens. Meta says it matches Claude Haiku 5.5's best Artificial Analysis Intelligence Index score at about a third of the cost, roughly $0.14 versus $0.41 per task. On coding, Meta's table has Ember ahead on Terminal-Bench 4.0 (40.9 against 39.2 for Haiku) and on Coding Agent Index-AA (46 against 37). Each model ran in its own best harness on Terminal-Bench: mini-swe-agent for Ember, Claude Code for Haiku. On FrontierCode 2.0-AA, which judges mergeability, Haiku leads 34.9 to 27.2. Meta's quoted partner, Cline's founder, calls it purpose-built for subagent work.
Why it matters: If you send test runs and targeted fixes to a cheaper subagent model, this is a new price point to try. The figures are the vendor's, and the only mergeability benchmark in Meta's own table favors Haiku, so measure it on your tasks before changing a harness default.