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  1. Home
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  3. BrowseComp-$V^3$: A Visual, Vertical, and Verifiable Benchma
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BrowseComp-$V^3$: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents

Fresh1d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 35

Proof: pending

Distribution: unknown

Source paper: BrowseComp-$V^3$: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents

PDF: https://arxiv.org/pdf/2602.12876v1

First buyer signal: unknown

Distribution channel: unknown

Starting…

Dimensions overall score 5.0

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Prior Work
Securing the Floor and Raising the Ceiling: A Merging-based Paradigm for Multi-modal Search Agents
Score 5.0stable
Prior Work
Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
Score 5.0stable
Higher Viability
VisBrowse-Bench: Benchmarking Visual-Native Search for Multimodal Browsing Agents
Score 8.0up
Higher Viability
M$^3$Searcher: Modular Multimodal Information Seeking Agency with Retrieval-Oriented Reasoning
Score 7.0up
Higher Viability
MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome
Score 7.0up
Higher Viability
MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents
Score 7.0up
Higher Viability
VTC-Bench: Evaluating Agentic Multimodal Models via Compositional Visual Tool Chaining
Score 6.0up
Competing Approach
Evaluating the Search Agent in a Parallel World
Score 5.0stable

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