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multimodal benchmark

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.

Updated Aug 11, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

MM-Mind2Web Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

01AMNova ProAmazon63.7%100.0%3CAug 11, 2026
02AMNova LiteAmazon60.7%50.0%3CAug 11, 2026
03ACQwen3-Coder 480B A35B InstructAlibaba Cloud / Qwen Team55.8%0.0%3CAug 11, 2026

MM-Mind2Web Score Distribution

A closer view of the leading scores on this benchmark.

MM-Mind2Web

MM-Mind2Web Highlights

The leading models and scores on this benchmark.

Rank #1Nova Pro63.7%Rank #2Nova Lite60.7%Rank #3Qwen3-Coder 480B A35B Instruct55.8%

What is MM-Mind2Web?

What MM-Mind2Web measures and how its scores work.

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.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
MM-Mind2Web
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
mm-mind2web|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about MM-Mind2Web.

Which model scores highest on MM-Mind2Web?

Nova Pro is currently ranked first with 63.7%.

What does MM-Mind2Web measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.