Muse Glimmer's gaps against its class concentrate in agentic evaluations: 953…

• eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
• hallucination — When a model states something false with full confidence — inventing facts, citations, or APIs that don't exist.
• agentic loop — The cycle an agent runs in: decide, call a tool, read the result, decide again — repeating until the goal is met or a stop condition fires.

The headline intelligence score hides a large agentic and hallucination gap — a reason not to swap this model into an agent loop on the index number alone.

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