GMI Cloud says Muse Wonder undercut Opus 5.5 on two coding builds
The October 12th test put Meta's new model through two detailed Canvas projects; GMI reported lower costs and faster completion in both runs.
By Ryan Merket · Published
Primary source: X
Why it matters
The comparison reports cost and completion time alongside GMI's qualitative assessment of output quality on two real coding tasks. It also shows why agent evaluations need transparent tooling, repeat runs and a consistent quality rubric.
GMI Cloud (@gmi_cloud), the GPU-cloud provider founded by Alex Yeh, tested Meta's newly released Muse Wonder on two demanding coding tasks and reported lower costs and shorter completion times than Claude Opus 5.5 on both. The October 12th comparison offers an early, company-run look at how agentic coding models fare when asked to build working software rather than answer benchmark questions.