A comparison was conducted on eight visual large language models (LLMs) for browser agents, focusing on their ability to ground screenshots. The surprising finding was that Qwen 3.5-9B outperformed MiMo V2.5, a model with 308 billion parameters, in this task. AI
IMPACT Highlights potential for smaller models to outperform larger ones in specific visual grounding tasks for agents.
RANK_REASON Comparison of multiple LLMs on a specific task, presented as a research finding. [lever_c_demoted from research: ic=1 ai=1.0]
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