Exa vs Brave

We ran several public benchmarks between July 29 and August 2, 2026. The query sets and grading code for retrieval quality are open-sourced at github.com/exa-labs/benchmarks.

Retrieval quality. Exa leads on entity retrieval and RAG accuracy, while Brave leads on citation precision.

Both providers ran the same queries on the same day, across 1,400 people queries and 605 company retrieval queries.

Evaluation methodology

• Entity benchmarks used 1,400 people queries and 605 company retrieval queries.
• WebCode RAG evaluation covered 307 complex coding retrieval queries.
• Brave leads on citation precision, reflecting high fidelity in source attribution.

Brave is the strongest general web index we tested. Its quality scores come closer to Exa than any other provider, and the margin widens on entity retrieval.

Exa is the best choice for production agents where latency is the bottleneck. It is also the stronger option for vertical retrieval of people, companies, or code.

People and company search

Exa maintains proprietary indexes for entities, retrieving structured records instead of keyword-matched pages. For example, a recruiting agent searching for specific career transitions gets direct profile data back rather than job board listicles.

Precision follows the same pattern as recall:

• Exa's people precision is 63.3% vs Brave's 30.2%, doubling the rate of relevant results.
• Exa leads rank-one recall by over 25 points on both people and companies.
• Custom embeddings with headcount and funding filters power entity search.

How Brave compares: as a general web index, Brave returns roughly half of Exa's rank-one recall because it lacks dedicated entity categories.

Latency-critical agent loops

Exa Instant delivers a p50 latency of 235ms. In an agent chain of 50 searches, this sub-250ms retrieval keeps voice agents within a conversational tempo that Brave cannot match.

Speed impacts the entire workflow:

• Exa is 2.1x faster than Brave at the median.
• Exa's p99 (437ms) is still faster than Brave's p50 (502ms).
• On a 50-call chain, Brave adds approximately 13 seconds of wall-clock delay.

How Brave compares: Brave's half-second median is suitable for single lookups but becomes prohibitively slow for deep, sequential agent research loops.

Brave is a robust platform with specific strengths in attribution and consumer-facing search, and it is cheaper at list price: $5 per 1,000 requests on its Search plan against Exa's $7, though Exa's price covers 10 results with text and highlights included.

Citation precision

Brave records the highest citation precision in WebCode RAG benchmarks, scoring 0.328 against Exa's 0.259. This is a critical advantage for research tools where surfacing the exact source to an end user is paramount.

How Exa compares: Exa leads on groundedness (79.4 vs 76.3), meaning Exa's answers are better supported, while Brave's citations are more precisely attributed.

Independent index and privacy

Brave's independently crawled index and strong privacy posture appeal to procurement teams and users who require transparent data handling.

How Exa compares: Exa also operates its own index; the distinction lies primarily in Brave's consumer-privacy market positioning.

Human-centric results

Brave's Web Search endpoint is designed for human consumption, providing local and rich data enrichments suitable for ten-blue-link interfaces.

How Exa compares: Exa is optimized for machine retrieval, with results shaped for LLM context rather than human reading.

A unified semantic index powering five distinct API products.

Exa Search API

Exa Search provides the highest accuracy search for agentic loops. Offers six search types including instant, auto, and deep-reasoning to match any latency budget.

Exa Agent API

The Exa Agent is a research primitive for multi-hop reasoning. It automates complex tasks like exhaustive list-building with effort levels ranging from low to xhigh.

Exa Contents API

The Contents API retrieves full-page text and structured data. Query-dependent highlights significantly reduce token consumption with sub-100ms latency.

Exa Code API

The context endpoint, also called Exa Code, is tuned for coding agents. It returns usable code context from documentation and repositories with a fixed or dynamic token budget.

Exa Monitors API

The Monitors API surfaces web changes by running saved searches on a schedule.

For production-ready agents requiring high-speed, diverse entity retrieval, Exa is the superior choice. Brave fits use cases where precise attribution or human-centric results are the priority.

Migration is mostly a mapping exercise. Exa has native integrations with LiteLLM, Vercel AI SDK, LangChain, and many other providers. Brave's q maps to Exa's query, and count becomes num_results.

Key notes for the cutover:

• Replace freshness presets with explicit start and end date filters.
• Brave's LLM Context endpoint is equivalent to calling contents.highlights in Exa.
• Leverage the category parameter in Exa to replace site-filtering for entity search.