Muse Ember Takes Fourth in WebMCP Benchmark
Meta’s Muse Ember solved 48 of 49 WebMCP tasks, ranking fourth overall at 3.9 seconds per task and roughly $0.43 per 1,000 tasks. It trails Haiku 5.5 but reinforces the case for small, efficient models in agent workflows.
Muse Ember looks less like a frontier model challenger and more like a highly effective agent workhorse.
- –Near-perfect task completion suggests strong reliability for structured web interactions
- –Its low per-task cost makes high-volume automation economically practical
- –The 3.9-second average keeps it competitive for latency-sensitive agents
- –WebMCP directly tests tool use across eight real websites and 49 tasks
- –The result supports Meta’s positioning of Ember as a repeatable execution model, not a general-purpose flagship
DISCOVERED
25m ago
2026-11-11
PUBLISHED
51m ago
2026-11-11
RELEVANCE
AUTHOR
0xidanlevin