Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights
We present Surfer-H, a cost-efficient web agent that integrates
Vision-Language Models (VLM) to perform user-defined tasks on the web. We pair
it with Holo1, a new open-weight collection of VLMs specialized in web
navigation and information extraction. Holo1 was trained on carefully curated
data sources, including open-access web content, synthetic examples, and
self-produced agentic data. Holo1 tops generalist User Interface (UI)
benchmarks as well as our new web UI localization benchmark, WebClick. When
powered by Holo1, Surfer-H achieves a 92.2% state-of-the-art performance on
WebVoyager, striking a Pareto-optimal balance between accuracy and
cost-efficiency. To accelerate research advancement in agentic systems, we are
open-sourcing both our WebClick evaluation dataset and the Holo1 model weights.
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Mathieu Andreux
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Breno Baldas Skuk
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Hamza Benchekroun
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Emilien Biré
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Emilien Biré
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Antoine Bonnet
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Riaz Bordie
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Matthias Brunel
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Pierre-Louis Cedoz
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Pierre-Louis Cedoz
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Antoine Chassang
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C
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Mickaël Chen
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Alexandra D. Constantinou
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Alexandra
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Aurélien Delfosse
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Augustin Derupti
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Michael Eickenberg
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Mathïs Federico
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Charles Kantor
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Xavier Koegler
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Yann Labbé
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Erwan Le Jumeau de Kergaradec
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Amir Mahla
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Avshalom Manevich
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Adrien Maret
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Charles Masson
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Rafaël Maurin
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Arturo Mena
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Philippe Modard
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Axel Moyal
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Axel Nguyen Kerbel
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Julien Revelle
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Mats L. Richter
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María Santos
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Laurent Sifre
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Maxime Theillard
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Tony Wu
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Tony Wu
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Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights
We present Surfer-H, a cost-efficient web agent that integrates
Vision-Language Models (VLM) to perform user-defined tasks on the web. We pair
it with Holo1, a new open-weight collection of VLMs specialized in web
navigation and information extraction. Holo1 was trained on carefully curated
data sources, including open-access web content, synthetic examples, and
self-produced agentic data. Holo1 tops generalist User Interface (UI)
benchmarks as well as our new web UI localization benchmark, WebClick. When
powered by Holo1, Surfer-H achieves a 92.2% state-of-the-art performance on
WebVoyager, striking a Pareto-optimal balance between accuracy and
cost-efficiency. To accelerate research advancement in agentic systems, we are
open-sourcing both our WebClick evaluation dataset and the Holo1 model weights.
Surfer-H, paired with Holo1, an open-weight collection of Vision-Language Models, achieves top performance in web navigation tasks with high cost-efficiency.
Vision-Language Models VLM web navigation information extraction generalist User Interface UI WebClick WebVoyager open-sourcing model weights