MM-Mind2Web

A multimodal web navigation benchmark comprising 2,000 open-ended tasks spanning 137 websites across 31 domains. Each task includes HTML documents paired with webpage screenshots, action sequences, and complex web interactions.

Nova Pro from Amazon currently leads the MM-Mind2Web leaderboard with a score of 0.637 across 3 evaluated AI models.

Paper

AmazonNova Pro leads with 63.7%, followed by AmazonNova Lite at 60.7% and Alibaba Cloud / Qwen TeamQwen3-Coder 480B A35B Instruct at 55.8%.

Progress Over Time

Interactive timeline showing model performance evolution on MM-Mind2Web

State-of-the-art frontier
Open
Proprietary

MM-Mind2Web Leaderboard

3 models
ContextCostLicense
1
Amazon
Amazon
2
Amazon
Amazon
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
480B
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FAQ

Common questions about MM-Mind2Web.

What is the MM-Mind2Web benchmark?

A multimodal web navigation benchmark comprising 2,000 open-ended tasks spanning 137 websites across 31 domains. Each task includes HTML documents paired with webpage screenshots, action sequences, and complex web interactions.

What is the MM-Mind2Web leaderboard?

The MM-Mind2Web leaderboard ranks 3 AI models based on their performance on this benchmark. Currently, Nova Pro by Amazon leads with a score of 0.637. The average score across all models is 0.601.

What is the highest MM-Mind2Web score?

The highest MM-Mind2Web score is 0.637, achieved by Nova Pro from Amazon.

How many models are evaluated on MM-Mind2Web?

3 models have been evaluated on the MM-Mind2Web benchmark, with 0 verified results and 3 self-reported results.

Where can I find the MM-Mind2Web paper?

The MM-Mind2Web paper is available at https://arxiv.org/abs/2306.06070. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does MM-Mind2Web cover?

MM-Mind2Web is categorized under agents, frontend development, multimodal, and reasoning. The benchmark evaluates multimodal models.

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