Cerebras vs Groq
Which Ai Chips is right for you? See our complete breakdown.
| Feature | Cerebras | Groq |
|---|---|---|
| MegaOne Score | 8/10 | 6/10 |
| Category | Ai Chips | Api Platform |
| Pricing Model | Freemium | Freemium |
| Starting Price | $50.00/mo | Free tier available |
| Free Tier | Yes | Yes |
| API Available | No | No |
| Open Source | No | No |
| iOS App | No | No |
| Android App | No | No |
| Chrome Extension | No | No |
| Company | Cerebras Systems Inc. | Groq Inc. |
| Total Funding | $2.8B | $2.4B |
Visual Comparison
About Cerebras
Cerebras develops wafer-scale AI chips and systems, providing ultra-fast AI inference and training solutions through both hardware and cloud services.
Cerebras Systems specializes in developing wafer-scale engines (WSE) and CS-3 supercomputers designed to accelerate AI deep learning applications, particularly for inference and training. The company offers both its proprietary hardware and cloud services, enabling customers to access its computing power for large, monolithic AI models with significantly reduced latency and increased throughput. Cerebras' technology is notably used to power OpenAI's GPT-5.6 Sol Ultrafast mode, offering up to 14x faster processing.
About Groq
Groq is an AI inference platform that utilizes custom LPU chips to deliver high-speed, low-latency processing for open-source large language models.
Groq designs and operates its own Language Processing Unit (LPU) inference hardware and offers GroqCloud, a token-as-a-service platform. It enables developers to run open-source large language models at significantly faster speeds than traditional GPUs, making it ideal for real-time AI applications like voice agents and conversational AI.
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.