Based only on the facts in our directory. The right pick still depends on the job you need done.
Lower starting price
Not comparable
Not comparable: Cerebras does not list a price
Free plan
Groq
Only Groq has one
Higher rating
Groq
4.2 against 4.3
Same job?
Yes
Both are AI Infrastructure & Agent Tooling tools
Side by side
Compared on
Cerebras
Groq
Our rating
4.2
4.3Better
Starts at
Not listed
Free
Free plan
No
YesBetter
Category
AI Infrastructure & Agent Tooling
AI Infrastructure & Agent Tooling
Plans
See pricing
Free
Key features
Wafer-Scale Engine: a single large chip built specifically for AI workloads
Cloud inference service running on Cerebras hardware, priced per million tokens
Independently benchmarked inference speeds ahead of GPU-based providers on several open models
CS-3 systems available for on-premises deployment at enterprise scale
Supports popular open-weight models including Llama variants
Custom LPU chips designed specifically for large language model inference
GroqCloud free developer tier alongside usage-based production pricing
Consistently ranks among the fastest publicly benchmarked inference speeds
Founded by Jonathan Ross, a former lead architect of Google's TPU
Popular backend choice for real-time voice AI and chat applications
Pros
Benchmarked inference speed is a genuine, independently verified differentiator
Per-million-token cloud pricing lowers the barrier versus buying CS-3 hardware outright
Strong fit for latency-sensitive production applications
Free developer tier makes it easy to benchmark speed before committing to production traffic
Inference speed is independently verified, not just a marketing claim
Strong fit for real-time, latency-sensitive applications like voice agents
Cons
CS-3 hardware itself is a multi-million-dollar purchase, out of reach for most teams
Model selection on the cloud service is narrower than general-purpose GPU clouds
Newer entrant competing against far larger, more established cloud providers
Model selection is narrower than general-purpose inference providers running any open weight
Usage-based token pricing needs monitoring at high production volumes
Custom hardware means Groq depends on its own chip roadmap rather than commodity GPU supply
Company
Cerebras Systems, founded 2015
Groq, founded 2016
Prices come from each vendor's pricing page, last checked 20260716. Check the vendor before you buy.
FAQ
Questions people ask
Is Cerebras better than Groq?
In our reviews Cerebras scores 4.2 and Groq scores 4.3. The better pick depends on the job. Cerebras: Wafer-scale AI chips that run inference faster than GPU-based clouds on public benchmarks. Groq: Custom LPU chips built by a former Google TPU architect for near-instant AI inference.
Groq
Cerebras
