Parallel (turbo and advanced) and Firecrawl make up the Pareto frontier for Artificial Analysis Search Index vs. Cost per Task, and represent the best performance for the blended cost available today.
Total cost per task combines both search API and model cost, which means we see variable pathways to low cost task completion. Firecrawl Search scores 73 on the AA-Search Index at $0.075 total cost per task which is only ~40% search cost. However, it has the slowest time per task on the board (55.0s). Parallel (advanced) on the other hand cost 12% more per task to reach an Index of 75, while reducing cost spent on model inference due to its search efficiency.
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
Search provider choice moves both AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → answer quality and total task cost, and this puts numbers on the tradeoff.
