Groq vs Together AI
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Groq if you want fast, low-cost llm inference on custom lpu silicon via groqcloud (Assistant, usage); choose Together AI if you want cloud for running, fine-tuning, and serving open-source ai models (Assistant, usage).
| Groq | Together AI | |
|---|---|---|
| What it is | Fast, low-cost LLM inference on custom LPU silicon via GroqCloud | Cloud for running, fine-tuning, and serving open-source AI models |
| Type | platform | platform |
| Autonomy | Assistant | Assistant |
| Pricing | usage · $0.05 / 1M input tokens (Llama 3.1 8B) | usage · Per-token usage from ~$0.03 / 1M input tokens; GPU clusters from ~$3.29/hr reserved |
| Best for | developers, enterprise | developers, enterprise, mid-market |
| Deployment | api, saas, on-prem | api, saas, on-prem |
| Modalities | text, voice, code, image, api | text, code, image, video, voice, api |
| Models | llama, open-source, model-agnostic | llama, open-source, model-agnostic |
| Protocols | mcp, function-calling, rest-api | function-calling, rest-api |
| Integrations | OpenAI SDK, LangChain, Vercel AI SDK, Gmail, Google Calendar, Google Drive | OpenAI SDK, LangChain, LlamaIndex, Vercel AI SDK, Hugging Face |
| Capabilities | 6 documented | 6 documented |
Groq
- +Marketed for very fast inference at low, linear per-token pricing
- +OpenAI-compatible API makes migration nearly drop-in
- +Free tier plus on-demand, batch, and on-prem (GroqRack/LPX) options
- -Serves open models only; no proprietary frontier models of its own
- -It is an inference layer, not an end-to-end agent: orchestration is on you
Together AI
- +Large catalog of open models across text, image, audio, and video
- +OpenAI-compatible API makes migration nearly drop-in
- +Full ladder from serverless to dedicated endpoints to raw GPU clusters
- -Serves open and bring-your-own models; no proprietary frontier model of its own
- -It is an inference and compute layer, not an end-to-end agent: orchestration is on you
Which should you choose?
Groq is fast, low-cost llm inference on custom lpu silicon via groqcloud, best for developers, enterprise. Together AI is cloud for running, fine-tuning, and serving open-source ai models, best for developers, enterprise, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced Groq and Together AI profiles. Open either profile to review its evidence and last-reviewed date.