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Benchmarks

Multimodal Knowledge Agent (MKA)

Multimodal Knowledge Agent (MKA)

Multimodal · higher is better · 1 model

These reports don't say how many tries each model got per problem, so the scores may not be comparable.

  1. Claude Sonnet 5.552.0%

Every result

  • Claude Sonnet 5.552.0%Independent evaluation (Artificial Analysis leaderboard, as cited by Google), Nov 12, 2026

    Google's Gemini 4 Hydrogen comparison table lists 52.0% for Claude Sonnet 5.5 on the Multimodal Knowledge Agent (MKA) benchmark, citing the Artificial Analysis leaderboard.

    Tasks: Climb WSR accuracy, as Google labels the metric.

    Setting: Google says it reports the maximum thinking setting available for Sonnet 5.5, or the best available result when that is not reported; no numeric budget is stated.

    Limits: Third-party report: Google, a competing model maker, published this figure for Anthropic's model in its own comparison table. Google says it developed MKA with Artificial Analysis. Google reports this result for another maker's model in its Gemini 4 Hydrogen comparison table; it was not checked against that maker's or the leaderboard's own page. Results under the same benchmark name can be shown together as reported scores, but unmatched settings and missing methods rule out a controlled ranking.

    Google DeepMind · Google DeepMind · Google DeepMind · Google DeepMind · Google

No published Multimodal Knowledge Agent (MKA) score checked yet for: Gemini 4 Hydrogen, Gemini 4 Carbon, Claude Fable 5.2, Claude Mythos 5.2, Gemini 4 Argon, Claude Opus 5.5, Claude Opus 5, Claude Sonnet 5, Gemini 2.5 Pro Experimental (March 2025), Gemini 2.0 Flash (December 2024 experimental), Qwen2.5-7B, Qwen2.5-7B-Instruct.