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Discover/Cerebras vs Groq
Cerebras
VS
Groq

Cerebras vs Groq

An in-depth comparison of Cerebras and Groq — pricing, features, ratings, and more.

Cerebras
3.6
★★★★★
4 reviews
Groq
3.8
★★★★★
1 reviews
Higher rated

Side-by-Side Comparison

Cerebras
Groq
Category
AI Infrastructure Tools
AI Infrastructure Tools
Pricing
Free tier for developers; Enterprise pricing custom
Free tier available; pay-per-token, very low cost (e.g., $0.05/MTok for Llama)
Pricing model
freemium
freemium
Rating
3.6 ★
3.8 ★
Reviews
4
1
Platforms
API
API
API Access
✓ Yes
✓ Yes
Open Source
✗ No
✗ No

Key Features

Cerebras
  • ✓ 1000+ tokens/second inference
  • ✓ Wafer-scale engine (WSE) chips
  • ✓ Llama 3 models
  • ✓ OpenAI-compatible API
  • ✓ Ultra-low latency
  • ✓ Enterprise deployment
Groq
  • ✓ 500+ tokens/second inference speed
  • ✓ LPU-based hardware
  • ✓ Open model support (Llama, Mixtral, Gemma)
  • ✓ OpenAI-compatible API
  • ✓ Low latency streaming
  • ✓ Whisper transcription

Pros & Cons

Cerebras
Pros
  • + Fastest inference available
  • + Real-time feels truly instantaneous
  • + Good enterprise partnerships
Cons
  • − Limited model selection
  • − Less mature ecosystem
  • − Primarily enterprise-focused
Groq
Pros
  • + By far the fastest inference available
  • + OpenAI-compatible API (easy migration)
  • + Generous free tier
  • + Very low cost
Cons
  • − Limited to specific open models
  • − No proprietary model access
  • − Capacity constraints during peak
Try Cerebras → Cerebras Details
Try Groq → Groq Details