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

Artificial Analysis, the leading model benchmarking platform, launched its new Search Index benchmark series that evaluates web search providers on quality, cost, and speed.  Parallel models ranked #1 on every dimension in their evaluations.

## Parallel Search (Fast) is the best balance of quality, cost, and speed for most agentic use cases.

[Fast](https://docs.parallel.ai/search/modes) is the recommended Search API mode for most agentic applications, achieving near-frontier search quality at a fraction of the cost and speed. Fast is especially powerful when paired with cost-efficient models like OpenAI's Luna and open-source models like DeepSeek V4 Flash. It’s the workhorse of Search APIs.

![](https://cdn.sanity.io/images/5hzduz3y/production/9590c2260275dbfa5f0bcb753b2da82ca405fa46-4640x1856.png)

## Parallel Search (Advanced) ranks the highest for quality across 12 providers.

[Advanced](https://docs.parallel.ai/search/modes) is ranked #1 on an equal-weighted mean of DeepSearchQA F1, BrowseComp accuracy, and AA-Omniscience accuracy. It’s our more comprehensive Search API mode and the best for challenging agentic tasks with multiple steps. It’s also extremely cost-effective at 43% lower cost per task (end-to-end cost inclusive of model + search) than the next closest search provider.

Read [Artificial Analysis’ full report](https://artificialanalysis.ai/agents/search-api) to see more results and learn about their evaluation methodology.

## Get started with Parallel Search

- [Docs](https://docs.parallel.ai/search/modes)
- [Playground](https://platform.parallel.ai/play/search?mode=fast)
- [Parallel CLI](https://docs.parallel.ai/integrations/cli)
- [Parallel MCP](https://docs.parallel.ai/integrations/mcp/quickstart)

```
Use curl to read parallel.ai/agents.md and perform the setup to install Parallel
```