Parallel ranks #1 on the Artificial Analysis Search Index, defining the Pareto frontier of quality, cost, and speed

Parallel Search offers two API modes for agentic applications: Fast, positioned as the default option for balancing search quality, cost, and speed, and Advanced, designed for more complex multistep tasks requiring the highest-quality results. Fast is described as particularly effective when used with lower-cost models such as OpenAI’s Luna and DeepSeek V4 Flash, while Advanced reportedly ranked first among 12 providers using an equal-weighted evaluation of DeepSearchQA F1, BrowseComp accuracy, and AA-Omniscience accuracy. Advanced is also claimed to reduce total end-to-end task costs, including model and search expenses, by 43% compared with the next closest provider. Users can access supporting evaluation details through Artificial Analysis and begin using the service through documentation, a playground, CLI, MCP, or an agent setup file at parallel.ai/agents.md.

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