Exa vs Linkup
Detailed side-by-side comparison to help you choose the right tool
Exa
🔴DeveloperAI Search
Neural web search API and AI search engine built for LLM agents, with embedding-based retrieval and structured content extraction.
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FreeLinkup
🔴DeveloperAI Search
Production-grade web search API for AI, ranked #1 on OpenAI's SimpleQA benchmark and used by McKinsey, Cohere, and Polymarket.
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CustomFeature Comparison
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Exa - Pros & Cons
Pros
- ✓Neural ranking surfaces semantically relevant pages traditional SERPs miss
- ✓Clean Markdown content extraction saves the usual scraping headaches
- ✓Official MCP server makes Claude Desktop and Cursor integration trivial
- ✓Generous $10 free credit and granular pay-as-you-go pricing
- ✓/findSimilar is a unique primitive for clustering and competitive research
Cons
- ✗Neural mode can miss obvious navigational queries that keyword search nails
- ✗Full content extraction multiplies per-query cost meaningfully
- ✗Deep Research is powerful but slow and not cheap per call
- ✗Index freshness lags real-time news vs Brave or Bing-style APIs
Linkup - Pros & Cons
Pros
- ✓Top-ranked factual accuracy on OpenAI's SimpleQA benchmark
- ✓Deep-search mode returns synthesized, citation-backed answers in one call
- ✓Transparent per-call pricing — no opaque enterprise quotes for small teams
- ✓Official MCP server for Claude Desktop, Cursor, and Goose
- ✓First-class integrations with LangChain, LlamaIndex, and the Vercel AI SDK
Cons
- ✗Deep-search calls are seconds-slow and ~10x the cost of standard search
- ✗Fewer query knobs than Exa or Tavily (no neural-vs-keyword toggle, less rerank tuning)
- ✗Smaller customer-visible status page — less operational transparency than incumbents
- ✗Index is strong on factual queries but less tuned for navigational lookups
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