Groq vs Together AI
Side-by-side comparison of Groq and Together AI: pricing, features, API access, and community ratings.
AI comparison summary
TL;DR: Both offer fast, cost-effective inference with free tiers, but Groq focuses purely on ultra-fast inference using proprietary LPU hardware with an OpenAI-compatible API for easy migration, while Together AI provides a comprehensive platform including fine-tuning, custom compute, and research-backed optimizations for teams needing end-to-end ML infrastructure. Choose Groq for simple inference speed at minimal cost, or Together AI if you need training, fine-tuning, and advanced workload customization beyond just running models.
| Category | AI infrastructure | AI infrastructure |
| Pricing | Freemium | Freemium |
| Starting price | ||
| Free tier | ||
| Audience | All audiences | Technical |
| API available | ||
| Open source | ||
| Self-hostable | ||
| Model provider | Groq (third-party models hosted on LPU infrastructure) | Open-source models (e.g., DeepSeek, Gemma, Llama, Qwen, GLM, MiniMax, Kimi) |
| Founded | 2016 | 2022 |
| Headquarters | San Jose, USA | San Francisco, USA |
| Key strengths |
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