Meta's Muse Ember beats Claude Haiku 5.5 on agent benchmarks at one-third the cost
kimmonismus · x · 2026-11-10
Meta launched Muse Ember, its smallest and most efficient model, aimed at agent workloads: tool calls, coding subtasks, routing, extraction, and long-document parsing.
- Beats Claude Haiku 5.5 and GPT-6 Luna on key agent and coding benchmarks; scores 36 on the Artificial Analysis Index, matching Haiku 5.5 (max)
- Matches Haiku's intelligence at roughly one-third the cost per task ($0.116 vs $0.411 at top settings)
- All three models start at $0.10/$0.50 per million input/output tokens
- First Meta model trained with Muse Wonder Full; supports text, images, audio and video
Related event: Meta Launches Muse Ember, Its Smallest Model Built for Agentic Value(17 posts)→
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