Perplexity's WANDR benchmark has ranked GPT-6 Astra as the top-performing research agent model, achieving a score of 0.682 at an average cost of $11.98 per task. This outperforms the previous leader, Claude Fable 5.1, by 13.5% while costing 6.1% less. Compared to Opus 5, Astra scores 27% higher with only 3.3% more cost. The WANDR benchmark evaluates agents on 500 real-world research tasks that require exhaustive identification, verification, and source attribution. Typical tasks include competitive analysis, due diligence, literature review, market analysis, and talent scouting. Previously, Fable 5.1 led with 0.601 at $12.76 per task, and Opus 5 scored 0.537 at $11.60. Astra pushed the score significantly higher without relying on disproportionately higher costs.
Perplexity has tested GPT-6 Astra using its proprietary WANDR agent benchmark, and the model achieved a score of 0.682, the highest ever recorded. Average cost per task is $11.98.
Compared to Claude Fable 5.1, Astra scores 13.5% higher while costing 6.1% less. Against Opus 5, it scores 27% higher with only 3.3% more cost.
WANDR is designed for "broad and deep" research tasks. It consists of 500 real-world research tasks that require the agent to not only find a few answers but to exhaustively identify all qualifying objects, then research each one, verify their identities, and provide verifiable sources for each result. Typical tasks include competitive analysis, due diligence, literature review, market analysis, and talent scouting.
Previously, Fable 5.1 led the ranking with 0.601 and $12.76 per task, while Opus 5 scored 0.537 at $11.60. Astra has pushed the score significantly higher without relying on disproportionately higher costs.
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