Groq vs Together AI
Which Api Platform is right for you? See our complete breakdown.
| Feature | Groq | Together AI |
|---|---|---|
| MegaOne Score | 6/10 | 8/10 |
| Category | Api Platform | Api Platform |
| Pricing Model | Freemium | Freemium |
| Starting Price | $0.05/mo | $0.03/mo |
| 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 | Groq Inc. | Together AI |
| Total Funding | $2.4B | $1.3B |
Visual Comparison
About Groq
Groq is an AI inference platform leveraging custom Language Processing Units (LPUs) to deliver ultra-fast, low-latency processing for open-source large language models.
Groq specializes in high-performance, low-latency AI inference through its proprietary Language Processing Units (LPUs) and vertically integrated cloud infrastructure. The company has recently pivoted from chip manufacturing to operating as an AI inference cloud, providing developers with access to a range of open-source large language models at unprecedented speeds for real-time applications. GroqCloud offers predictable, high-throughput performance for latency-critical use cases like voice AI and interactive agents.
About Together AI
Together AI provides an AI acceleration cloud platform for training, fine-tuning, and deploying open-source generative AI models at scale.
Together AI is a cloud-based platform that offers GPU infrastructure and model inference services optimized for deploying and fine-tuning open-source generative AI models. It provides developers and enterprises with fast, flexible access to a wide range of leading open-source models through serverless and dedicated inference APIs, along with tools for fine-tuning and evaluation. The platform is designed for AI-native companies needing production-grade reliability and cost-efficiency.
Together AI takes the edge
With a MegaOne score of 8/10 versus 6/10, Together AI edges ahead of Groq in our analysis. However, Groq may still be the better choice depending on your specific use case and budget.