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AgentsThe story, in brief

New benchmark ranks search APIs for AI agents on quality, cost, and speed

Seven search APIs benchmarked for agent performance: Luna, Parallel, and Exa lead on quality and cost.

Reporting by The Decoder 1 min brief
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The KeyNews take

Why it matters

As agents move into production, practitioners need measurable tooling choices. This benchmark translates agent search quality into cost-per-query and latency metrics — directly actionable for agent platform builders and operators.

The key facts

11 to know

  1. Artificial Analysis released 'Search Index' benchmark

  2. Seven search API providers tested

  3. Top performers: GPT-5.6 Luna, Parallel, Exa, Firecrawl

  4. Metrics: quality, cost, speed

  5. Published August 18, 2026

  6. Artificial Analysis released 'Search Index' benchmark for agent-grade search APIs

  7. Seven providers tested: GPT-5.6, Luna, Parallel, Exa, Firecrawl, and two others not named

  8. Measured on quality, cost, and speed—the three variables agents care about most

  9. Luna and Parallel ranked highest on quality metrics

  10. Exa and Firecrawl scored best on cost-performance tradeoff

  11. Published August 2026

Go to the source

The Decoderthe-decoder.com

Publisher excerpt: Artificial Analysis has released the "Search Index," a benchmark that rates search API providers for AI agents on quality, cost, and speed. Of seven providers tested with GPT-5.6 Luna, Parallel, Exa, and Firecrawl scored highest.
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