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Machine Learning · head to head

Groq vs Poolside

Groq logo

Groq

Machine Learning

Fast inference provider using proprietary LPU hardware for low-latency serving

From
On request
Free plan
No
Full reviewWebsite
Poolside logo

Poolside

AI

Open-weight foundation models built for agentic software engineering

From
$0.06/month
Free plan
No
Full reviewWebsite

The short version

  • Each has a real cost: Groq pricing is not published and is sold entirely by quote, making cost comparison difficult; Poolside no self-serve public application; access is largely through enterprise sales or third-party model gateways
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Groq and Poolside actually diverge.

Attributes where Groq and Poolside differ
AttributeGroqPoolside
Starting priceOn request$0.06/month
Pricing modelquoteusage-based
PlatformsAPI, Cloudweb, api, mac, windows, linux
CategoryMachine LearningAI
FoundedUnknown2023

Identical on both: free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Groq

Nothing recorded that Poolside does not also cover.

Only in Poolside

  • Laguna S 2.1
  • Laguna XS 2.1
  • Desktop and CLI tools
  • Open-weight models
  • Third-party gateway access

What people use each for

The jobs each tool is most often brought in to do.

Groq

  • Latency-sensitive applications requiring sub-second inference response timesnot Poolside
  • High-volume inference workloads where cost per inference matters at scalenot Poolside
  • Custom model deployment with performance guaranteesnot Poolside
  • Enterprise applications seeking inference-specific infrastructurenot Poolside

Poolside

  • Enterprises deploying AI coding assistance across large developer organizationsnot Groq
  • Government and defense agencies needing on-premise or sovereign coding modelsnot Groq
  • Teams building custom coding agents on open-weight foundation modelsnot Groq
  • Organizations wanting on-device lightweight coding modelsnot Groq

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Groq

  • Pricing is not published and is sold entirely by quote, making cost comparison difficult
  • Limited to open-weight models; no proprietary model access through the platform
  • Not widely integrated into third-party AI platforms compared to OpenAI or Anthropic

Poolside

  • No self-serve public application; access is largely through enterprise sales or third-party model gateways
  • Pricing for the flagship enterprise and government offering is not public and requires a sales conversation
  • Targets organizations with large (5,000+) developer headcounts, making it a poor fit for individuals or small teams
  • Documentation and product surface area are thin compared to consumer-facing coding assistants

Pricing, plan by plan

Groq

On request

No published plan breakdown. See the Groq review.

Poolside

$0.06/month
  • Laguna XS 2.1$undefined/month
    • $0.06 per 1M input tokens
    • $0.12 per 1M output tokens
    • Available via OpenRouter and Vercel AI Gateway
  • Laguna S 2.1$undefined/month
    • $0.10 per 1M input tokens
    • $0.20 per 1M output tokens
    • 1M token context window
  • Enterprise / Government$undefined/month
    • Custom contracts for large engineering organizations
    • Sales-quoted pricing
    • On-premise or dedicated deployment options

Which should you pick?

Choose Groq if

  • You work on API, Cloud.
Groq review

Choose Poolside if

  • You need laguna s 2.1.
  • You work on web, api, mac, windows, linux.
  • You also want laguna xs 2.1.
Poolside review

Questions people ask

Is Groq or Poolside better?
Neither clearly leads. Groq starts at On request and Poolside at $0.06/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Groq or Poolside?
Groq starts at On request and Poolside at $0.06/month.
Does Groq or Poolside run on more platforms?
Groq runs on API, Cloud. Poolside runs on web, api, mac, windows, linux.
What is Groq best used for?
Groq is most often used for latency-sensitive applications requiring sub-second inference response times, high-volume inference workloads where cost per inference matters at scale, custom model deployment with performance guarantees, enterprise applications seeking inference-specific infrastructure. Of those, latency-sensitive applications requiring sub-second inference response times and high-volume inference workloads where cost per inference matters at scale are not what Poolside is typically brought in for.
What can Groq do that Poolside cannot?
Poolside covers Laguna S 2.1, Laguna XS 2.1, Desktop and CLI tools, Open-weight models.

Answered from the vendors’ own pages

Groq: Is Groq free or paid?

Pricing details are not published on the main website. To explore Groq's service and pricing, visit their console at console.groq.com/home.

Source
Poolside: How is Poolside's Laguna model usage priced?

Laguna XS 2.1 is priced at $0.06 per 1M input tokens and $0.12 per 1M output tokens; Laguna S 2.1 is $0.10 per 1M input tokens and $0.20 per 1M output tokens.

Source
Groq: Does Groq offer a free tier or free credits?

Free tier availability is not documented on the public site. Check the Groq console for current free tier or trial options.

Source
Poolside: Where can I access Poolside's models?

Laguna models are available through third-party gateways OpenRouter and Vercel AI Gateway, as well as via Poolside's own desktop and CLI tools.

Source
Poolside: Does Poolside offer enterprise or government pricing?

Yes, Poolside offers custom, sales-quoted contracts for large enterprises and government/defense customers, including on-premise or dedicated deployment options.

Source
Poolside: How do I get started building with Poolside's models?

Poolside's documentation provides a quickstart guide for installing the `pool` CLI and running an agent task, alongside API documentation for custom integrations.

Source
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