agents benchmark
WebVoyager evaluates an agent's ability to navigate and complete tasks on real websites using page screenshots and browser actions.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelZA | Score88.50% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
The leading models and 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.
Ranking basisThis webvoyager 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
GLM-5V-Turbo currently leads WebVoyager with 88.50%. 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.
What WebVoyager measures and how its scores work.
WebVoyager is an agents benchmark for navigating and completing tasks on real websites.
It measures Score, reported as a ratio, for an agent's ability to perceive page screenshots and execute browser actions to complete tasks.
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 WebVoyager.
GLM-5V-Turbo is currently ranked first with 88.50%.
The current leaders are GLM-5V-Turbo (88.50%).
GLM-5V-Turbo has the lowest matched official input price at $5.0 input / $22 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 Score, reported as a ratio, for an agent's ability to perceive page screenshots and execute browser actions to complete tasks.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.