# Google DeepMind's new benchmark tests agents on blueprints, schematics and polished decks

> Source: <https://runtimewire.com/article/google-deepmind-mka-benchmark-visual-knowledge-work>
> Published: 2026-11-10 17:07:48+00:00

# Google DeepMind's new benchmark tests agents on blueprints, schematics and polished decks

**Built with Artificial Analysis, MKA uses 200 expert-designed tasks to grade visual knowledge work. Google says Gemini 4 Carbon ranks second on quality at a lower cost.**

        By [RuntimeWire Staff](https://runtimewire.com/author/runtimewire-staff)
        · Published 
        · Updated 

Primary source: [Google Gemini (official)](https://blog.google/innovation-and-ai/models-and-research/gemini-models/multimodal-knowledge-agent-benchmark/)

## Why it matters

MKA evaluates agents on visual files and finished deliverables that define professional work. For model buyers, Google's second-place quality ranking paired with a claimed sixfold cost advantage makes price per completed task a number to compare alongside peak score.

Google DeepMind senior product manager Rohan Doshi and research director Ben Caine launched the Multimodal Knowledge Agent benchmark on November 10th, a 200-task test built with Artificial Analysis to grade how AI agents handle visually dense professional files. [Google](https://blog.google/innovation-and-ai/models-and-research/gemini-models/multimodal-knowledge-agent-benchmark/?ref=runtimewire) says [Gemini 4 Carbon](https://runtimewire.com/models/google/gemini-4-carbon) ranks second on quality in the test while completing tasks at six times lower cost on average than the top-scoring model.…

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