MKA benchmark blog: how agents are graded on visual professional deliverables
patloeber · x · 2026-11-12
A companion blog expands on the MKA (Multimodal Knowledge Agent) benchmark from Google DeepMind: 200 tasks across 10 industry verticals test whether agents can read visually dense files like architectural drawings, engineering schematics and clinical scans, and produce professional deliverables. Tasks run in the Stirrup harness inside a Linux sandbox with code execution and internet access, capped at 250 turns. GPT-6 Luna (medium) acts as an agentic judge marking weighted rubric criteria; the headline score is Climb WSR.
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