Skip to content

Fireworks AI vs Groq

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

Compared from listings verified as of

Fireworks AI

Inference

Fast inference + fine-tuning. Production deployments at scale.

View Fireworks AI

Groq

Inference

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

View Groq

At a glance

Feature comparison of Fireworks AI and Groq
AttributeFireworks AIGroq
CategoryInferenceInference
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)APIAPI, Web
Model supportMulti-modelMulti-model
Vendor (differs)Fireworks AIGroq

The honest brief

Fireworks AI

Runs open models on its own FireAttention serving stack, tuned for lower latency than off-the-shelf inference runtimes.

  • Custom FireAttention inference stack
  • Vision and audio models, not just text
  • Serverless + dedicated options
  • Fine-tuning supported
  • Usage pricing scales with traffic
  • Open-weights focus, not proprietary frontier
  • Dedicated capacity costs more

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
Fireworks AI detailsGroq detailsAll Inference apps