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DeepSeek-V3 vs Exa
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. | Search API purpose-built for AI agents, returning token-efficient, structured web data instead of raw HTML — used by tools like Cursor, HubSpot, and Databricks. | |
| Category | |||
| Developer | — | Exa | |
| Verified Status | No | ||
| Last Updated | Sep 2026 | Sep 2026 | |
| Pricing | |||
| Pricing Model | Free | Pricing not yet verified | |
| Free Plan | Yes | No | |
| Open Source | No | — | |
| Capabilities | |||
| Features | — | • Token-efficient highlights (up to 90% less token usage than full-page content) • Structured JSON outputs via custom schemas • Fast-results and deep-research search modes • Coverage of 70M+ organizations plus code and people search verticals • SOC 2 Type II, zero data retention, and SSO for enterprise use | |
| Tags | deepseekstrongmixtureexpertslanguagemodel | languagemodelpoweredsearch | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 65 | 84 | |
| Quality Score | 62/100 | 41/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | github.com | exa.ai | |
| Social Links | 2 linked | 3 linked | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Free to use | — | |
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