Google 与 Artificial Analysis 推出 MKA 基准，评测智能体在视觉复杂文件上的知识工作

Evaluations are the backbone of any frontier progress. Today we're launching MKA (Multimodal Knowledge Agent) with @ArtificialAnlys, a benchmark for agents doing knowledge work on visually complex files.

• 200 tasks across 10 verticals and 83 occupations, written by domain experts
• Each task takes a seasoned professional 3 to 8 hours
• ~70 yes/no rubric checks per task, weighted 75% factual accuracy and 25% visual design
• Every model runs in the same harness (Stirrup) with the same tools, sandbox and turn budget
• 200 tasks stay private with Artificial Analysis, so they can't leak into training data
• 10 public tasks on @huggingface 🤗

Gemini 4 Carbon is #2 on quality, 3 points behind Claude Fable 5.2, at $6.29 per task vs $31.97.

Blog: https://blog.google/innovation-and-ai/models-and-research/gemini-models/multimodal-knowledge-agent-benchmark/
Results: https://artificialanalysis.ai/evaluations/mka