multimodal 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.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | AM | 63.7% | 100.0% | 3 | C | |
| 02 | AM | 60.7% | 50.0% | 3 | C | |
| 03 | AC | 55.8% | 0.0% | 3 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
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.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about MM-Mind2Web.
Nova Pro is currently ranked first with 63.7%.
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.
Yes. Higher values rank better for this benchmark.
3 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.