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BenchmarkWeb Agent Navigation and Decision Reasoning / WANDR基准

WANDR

An AI agent evaluation benchmark developed internally at Perplexity. The full name is Web Agent Navigation and Decision Reasoning. It measures a model's planning, execution, and result accuracy across real-world multi-step task chains, accounting for both performance and cost dimensions.

Timeline (last 90 days)

Oct 3

WANDR is an evaluation benchmark for breadth-and-depth research agents, comprising 500 tasks, each requiring 170,000 source-backed records.

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Sep 25

In the WANDR benchmark, Claude Opus 5.5 achieved a score of 0.610.

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Sep 25

Claude Opus 5.5's per-task cost on the WANDR benchmark is $4.13.

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Sep 25

WANDR is an internal benchmark used by Perplexity to evaluate agent-type task performance.

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Sep 25

A WANDR score of 0.610 does not mean the model fully succeeds on 60% of tasks; the actual partial completion rate is related to the distribution of task complexity.

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Sep 25

Cross-vendor comparisons between internal agent benchmarks are of limited significance; longitudinal iteration comparisons within the same benchmark are more reliable.

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Aug 26

根据官方在 WANDR 基准测试上的数据,Grok 4.6 位于性能与效率的帕累托前沿

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Aug 26

Grok 4.6 在 WANDR 上能够匹配 Fable 5 的测试结果,而成本降低了 60% 以上

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