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DeepInfra vs Groq

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

Compared from listings verified as of

DeepInfra

Inference

Pay-as-you-go API access to open and proprietary AI models.

View DeepInfra

Groq

Inference

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

View Groq

At a glance

Feature comparison of DeepInfra and Groq
AttributeDeepInfraGroq
CategoryInferenceInference
Pricing (differs)PAIDFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
PlatformsAPI, WebAPI, Web
Model supportMulti-modelMulti-model
Vendor (differs)DeepInfraGroq

The honest brief

DeepInfra

Among the lowest per-token prices of the hosted-inference providers, with optional dedicated GPU clusters from roughly $2/GPU-hour.

  • 100+ models behind one OpenAI-compatible API
  • Dedicated GPU clusters (DeepCluster) available
  • SOC 2 / ISO 27001, zero data retention
  • No hardware to manage
  • Pay-as-you-go only, no free tier
  • Skews toward open models
  • Not a fine-tuning-first platform

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