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AI CURATED HOT STORY · 11/11/2026

Google DeepMind Launches MKA Benchmark for Multimodal Knowledge Agents

2 reports archived1 independent sourcesupdated 11/11/2026, 02:28:22
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Google DeepMind, in partnership with Artificial Analysis, launched the Multimodal Knowledge Agent (MKA) evaluation, a benchmark of 200 private real-world visual tasks spanning 10 industries. Agents must interpret dense visual files such as architectural drawings, engineering schematics and clinical scans, then produce deliverables including slide decks, spreadsheets and reports. Scoring uses expert rubrics split into Climb and Regression criteria, averaging about 70 weighted items per task, with Claude Sonnet 5.5 leading in several domains.

LATEST/Google DeepMind, in partnership with Artificial Analysis, launched the Multimodal Knowledge Agent (MKA) evaluation, a benchmark of 200 private real-world visual tasks spanning 10 industries. Agents must interpret dense visual files such as architectural drawings, engineering schematics and clinical scans, then produce deliverables including slide decks, spreadsheets and reports. Scoring uses expert rubrics split into Climb and Regression criteria, averaging about 70 weighted items per task, with Claude Sonnet 5.5 leading in several domains.

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Total 2 reports · Latest first
  1. Artificial Analysis (@ArtificialAnlys)T1·58 pts

    DeepMind and Artificial Analysis Launch MKA Multimodal Agent Benchmark

    • MKA targets real professional visual tasks like blueprint cross-referencing and scientific chart reading, unlike text-only evaluations
    • Gemini 4 Carbon ranks second at one-sixth the average cost per task of the top model
    • The benchmark was co-built by DeepMind and Artificial Analysis and is now integrated into the Artificial Analysis platform