Meta Releases Muse Ember Smallest Model at One Third the Cost of Claude Haiku 5.5
Meta released Muse Ember, its smallest model, matching Claude Haiku 5.5 at 36 on the Artificial Analysis Intelligence Index at roughly $0.136 per task versus $0.411 for Haiku. Positioned as the execution layer in a two-model agent split alongside the planning-focused Muse Wonder, it natively handles text, images, audio and video with a 1M-token context and up to 512K output tokens. The trade-off is weaker real-repo mergeability on FrontierCode 2.0-AA, and several results are Meta internal runs.
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▲ Marktechpost AI · 2026-11-10 06
▲ Meta just released Muse Ember, its smallest model, and it matches Claude Haiku 5.5 on the Artificial Analysis Intelligence Index at about a third of the cost per task.
The key idea is a split of labour inside agents. Muse Wonder plans the hard problem. Ember runs the volume: tool calls, tests, targeted code fixes, routing and extraction. It takes text, images, audio and video natively, with a 1M-token context and up to 512K output tokens.
Ember scores 36 on the AA Intelligence Index at max effort, level with Claude Haiku 5.5 and ahead of GPT-6 Luna at 28. Meta's chart puts Ember at $0.136 per task versus $0.411 for Haiku. On AutomationBench-AA it completes 37.8% of workflows, versus 20.2% for Luna and 13.9% for Haiku.
It is a trade-off though: Ember trails Haiku 5.5 on FrontierCode 2.0-AA, 27.2 vs 34.9, which judges whether real-repo changes are mergeable. Several results are also Meta internal runs.
Available today on Meta Model API and Muse Code as muse-ember-1.0. $0.10 per 1M input tokens, $0.50 per 1M output. Weights are closed and parameter count is not disclosed......
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