Great to have rigorous independent benchmarking for search that measures end-to-end quality, cost, latency for agents.
Parallel search is
(1) Highest quality
(2) Quality vs. cost Pareto frontier
(3) Quality vs. latency Pareto frontier
Announcing the Artificial Analysis Search Index, benchmarking how search API providers perform on quality, cost, and speed when used by an agent. We are initiating coverage with Parallel, Exa, Firecrawl, You (dot) com, Tavily, Keenable, and Brave
Search is one of the most
10x price-perf on model intelligence this year with gpt-5.6 luna price drop yesterday and deepseek v4 flash today.
we've done the same for web search with @p0 search turbo - the only way to build agents on the pareto-frontier
Turbo is in a new class of cost and latency: 5-14x cheaper than alternatives, blazing fast, and at consistently high accuracy.
- 200ms median latency
- $1 per 1,000 requests
Super cool collaboration with @paraga, @georgepickett and team. Access the web and bring in the freshest information to your voice agent while it talks and listens.
All at un-parallel-ed speeds.
Our product integration allows customers to use Parallel Search natively within GCP. It took close collaboration across both companies: tech, product, and commercial teams working together to build for the most demanding customers on GCP.
