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 | Paid Only |
| Starting Price | $0.05/mo | $0.05/mo |
| Free Tier | Yes | No |
| 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 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.
About Together AI
Together AI provides GPU infrastructure and model inference services optimized for deploying and fine-tuning open-source generative AI models at scale.
Together AI offers a cloud platform for businesses to train and deploy AI on open-source models like Llama, Mistral, Qwen, and DeepSeek at a lower cost than proprietary systems. It provides GPU infrastructure, serverless inference, fine-tuning, and GPU clusters with performance optimizations, supporting a full model development lifecycle. The platform aims to make intelligence abundant and affordable, enabling developers to build with open-source models without deep infrastructure expertise.
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.