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Groq vs Liquid AI

A side-by-side comparison of Groq and Liquid AI, two Inference tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Groq

Inference

Low-latency inference for open-weights models on custom LPU chips.

View Groq

Liquid AI

Inference

On-device foundation models (LFMs) plus LEAP, an edge platform to ship them to any device.

View Liquid AI

At a glance

Feature comparison of Groq and Liquid AI
AttributeGroqLiquid AI
CategoryInferenceInference
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
Deployment (differs)CloudHybrid
Platforms (differs)API, WebWeb, iOS, Android, API
Model support (differs)Multi-modelSelf-contained (on-device)
Vendor (differs)GroqLiquid AI
Capabilities (differs)
  • Model inference / serving
  • Multi-model access
  • Transcription (STT)
  • Speech synthesis (TTS)
  • Model inference / serving
  • Fine-tuning / training
  • App / agent deployment

The honest brief

Groq

Custom LPU silicon delivers deterministic sub-100ms TTFT, ideal for voice and latency-critical apps.

  • Hundreds of tokens/sec on open models
  • Sub-100ms time-to-first-token
  • Deterministic, low-variance latency
  • OpenAI-compatible API with free tier
  • Curated open-weight models only
  • No frontier closed models (GPT/Claude)
  • SRAM limits large context windows
  • Rate limits during peak demand

Liquid AI

Runs capable LLMs fully on-device — no cloud, low latency, private — via compact LFMs you can fine-tune and ship with one Edge SDK.

  • Runs on phones, laptops, edge hardware
  • Compact 350M–8.3B LFM2/LFM2.5 family
  • LEAP core is free for all users
  • Discover, bundle, deploy via Edge SDK
  • Open-weight models
  • Small models trail frontier cloud LLMs
  • On-device deployment adds app work
  • Enterprise support is sales-gated
  • Custom (non-OSI) model license

When to pick which

Both cover Model inference / serving.

Pick Groq if you need Multi-model access, Transcription (STT), and Speech synthesis (TTS).

  • Multi-model access (primary capability)
  • Transcription (STT) (secondary capability)
  • Speech synthesis (TTS) (secondary capability)

Pick Liquid AI if you need Fine-tuning / training and App / agent deployment.

  • Fine-tuning / training (secondary capability)
  • App / agent deployment (secondary capability)

They also differ on:

Deployment
Cloud · Hybrid
Platforms
API, Web · Web, iOS, Android, API
Model support
Multi-model · Self-contained (on-device)
Groq detailsLiquid AI detailsAll Inference apps