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.
Core Facts
Timeline (last 90 days)
WANDR is a benchmark that evaluates both broad information retrieval and deep investigation, aimed at comprehensive evaluation of research agents.
WANDR is not a widely recognized benchmark, and its specific evaluation dimensions remain unclear.
Google's new-generation model Gemini 4 Argon set a new record on the WANDR benchmark.
WANDR is an evaluation benchmark for breadth-and-depth research agents, comprising 500 tasks, each requiring 170,000 source-backed records.
Cross-vendor comparisons between internal agent benchmarks are of limited significance; longitudinal iteration comparisons within the same benchmark are more reliable.
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.
In the WANDR benchmark, Claude Opus 5.5 achieved a score of 0.610.
Claude Opus 5.5's per-task cost on the WANDR benchmark is $4.13.
WANDR is an internal benchmark used by Perplexity to evaluate agent-type task performance.
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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All Facts (11)
Google's new-generation model Gemini 4 Argon set a new record on the WANDR benchmark.
80%UnverifiedWANDR is a benchmark that evaluates both broad information retrieval and deep investigation, aimed at comprehensive evaluation of research agents.
50%UnverifiedWANDR is not a widely recognized benchmark, and its specific evaluation dimensions remain unclear.
50%UnverifiedWANDR is an evaluation benchmark for breadth-and-depth research agents, comprising 500 tasks, each requiring 170,000 source-backed records.
50%UnverifiedCross-vendor comparisons between internal agent benchmarks are of limited significance; longitudinal iteration comparisons within the same benchmark are more reliable.
50%UnverifiedA 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.
50%UnverifiedIn the WANDR benchmark, Claude Opus 5.5 achieved a score of 0.610.
50%UnverifiedClaude Opus 5.5's per-task cost on the WANDR benchmark is $4.13.
50%UnverifiedWANDR is an internal benchmark used by Perplexity to evaluate agent-type task performance.
50%Unverified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
50%UnverifiedGrok 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
50%