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Parallel (turbo and advanced) and Firecrawl make up the Pareto frontier for…

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Artificial Analysis@ArtificialAnlys

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.

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A search provider's fee is only part of an AI research task's cost. In Artificial Analysis's August 18 results, Firecrawl Search cost $0.075 per task, including $0.03 for search and $0.045 for the model. It scored 73 on the Search Index but had the slowest task completion on that board, at 55 seconds. Cost breakdown.

Parallel's advanced tier reached 75 for approximately 12% more total spending. The index methodology compares providers within a fixed setup. These results help separate three choices: answer quality, the combined bill and waiting time. A favorable quality-to-cost result can still involve slower completion.

Terms in this piece · Glossary
  • 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.
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
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