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Groq vs Poolside (Laguna)
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | LPU inference engine delivering the fastest AI model response times. | Open-weight foundation models purpose-built for agentic coding, from AI research company Poolside. | |
| Category | |||
| Developer | Groq | Poolside | |
| Verified Status | No | ||
| Last Updated | Aug 2026 | Aug 2026 | |
| Pricing | |||
| Pricing Model | Freemium | Pricing not yet verified | |
| Free Plan | No | No | |
| Free Trial | — | No | |
| Open Source | No | — | |
| Capabilities | |||
| API Access | — | No | |
| Features | • GroqCloud inference platform built on Groq's own LPU chip • OpenAI-compatible API for easy migration from existing integrations • Globally distributed data centers for low-latency inference • Support for multiple AI models through one API • Free API key available to start building | • Laguna S 2.1: 118B parameters, 1M context window • Laguna XS 2.1: 33B parameters, on-device deployable • Available via OpenRouter and Vercel AI Gateway • Desktop and CLI interfaces for agentic coding • Open technical research publications | |
| Tags | inferencefastlpu | foundation modelsagentic codingopen-weight modelsdeveloper tools | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 64 | 4 | |
| Quality Score | 45/100 | 49/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | groq.com | poolside.ai | |
| Social Links | 2 linked | — | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Free to use | — | |
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