Head-to-Head Comparison

Cerebras vs Groq

Which Ai Chips is right for you? See our complete breakdown.

Cerebras

8/10 Our Pick Visit Cerebras
VS

Groq

6/10 Visit Groq
FeatureCerebrasGroq
MegaOne Score8/106/10
CategoryAi ChipsApi Platform
Pricing ModelFreemiumFreemium
Starting Price$10.00/mo$0.05/mo
Free TierYesYes
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyCerebras Systems Inc.Groq Inc.
Total Funding$10.3B$2.4B

Visual Comparison

Score Reach Value Team Funding Reviews
Cerebras Groq

About Cerebras

Cerebras develops wafer-scale AI processors and supercomputers to accelerate deep learning training and inference for large AI models.

Cerebras Systems builds the world's fastest AI infrastructure, centered around its Wafer-Scale Engine 3 (WSE-3) semiconductors and CS-3 supercomputers. The WSE-3 is the largest AI processor ever built, featuring 4 trillion transistors and 900,000 AI-optimized cores, designed to eliminate communication bottlenecks in large-scale AI workloads. The company offers both on-premise hardware and cloud-based AI inference and training services, supporting multi-trillion parameter models with high throughput and low latency.

About Groq

Groq is an AI inference platform leveraging custom Language Processing Units (LPUs) to deliver extremely fast and low-latency processing for open-source large language models.

Groq designs and operates its own inference hardware, the LPU, offering a token-as-a-service platform called GroqCloud. It enables developers to run open-source large language models at speeds significantly faster than conventional GPUs, making it ideal for real-time AI applications like voice agents and conversational AI. The platform supports a variety of models including Meta's latest Llama 4 series, DeepSeek, GPT-OSS variants, and Whisper for speech-to-text.

Cerebras takes the edge

With a MegaOne score of 8/10 versus 6/10, Cerebras edges ahead of Groq in our analysis. However, Groq may still be the better choice depending on your specific use case and budget.