multimodal benchmark
VisualWebBench is a multimodal benchmark for assessing multimodal large language models (MLLMs) on web page understanding and grounding tasks using 1.5K human-curated instances from 139 real websites across 87 sub-domains.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAM | Score79.70% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelAM | Score77.70% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What VisualWebBench measures and how its scores work.
VisualWebBench comprises 7 tasks: captioning, webpage QA, heading OCR, element OCR, element grounding, action prediction, and action grounding.
It measures MLLM capabilities in web page understanding and grounding, with results reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about VisualWebBench.
Nova Pro is currently ranked first with 79.70%.
The current leaders are Nova Pro (79.70%) and Nova Lite (77.70%).
Nova Lite has the lowest matched official input price at $0.06 input / $0.24 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures MLLM capabilities in web page understanding and grounding, with results reported as a Score ratio.
Yes. Higher values rank better for this benchmark.
2 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis visualwebbench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Nova Pro currently leads VisualWebBench with 79.70%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.