Morning Edition · Monday, October 19, 2026Published at 2:14 AM EDT · New York
Perplexity says its new Fast Search mode cuts combined model and search cost per agent task by 68% across six benchmarks, at a measured loss in long-tail relevance.

Perplexity has described Photon, a retrieval and ranking engine written in Rust that finds and ranks web pages before a language model writes the answer. AI ML Big Data reported that the company built a new fast mode for its agent Search AP…
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Part of a tracked trend
The Inference-Cost Efficiency Race
Techniques that cut tokens generated and KV-cache memory per query will keep compressing the marginal cost of serving reasoning models, making inference efficiency a recurring competitive axis alongside raw capability.
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