Deepseek R1 is a powerful AI model, and with Groq’s high-speed inference, you can get lightning-fast responses. If you're looking to integrate Deepseek R1 distill with Groq, here's how you can do it.

Direct model link: https://console.groq.com/playground?model=deepseek-r1-distill-llama-70b

Set Up the API Request

You need to send a POST request to Groq’s API endpoint:

📌 URL:
https://api.groq.com/openai/v1/chat/completions

📌 Headers:

• Authorization: Bearer <your-api-key>

📌 Request Body (JSON format):

{   "messages": [     {       "role": "system",       "content": "Please answer in English only"     },     {       "role": "user",       "content": "Deepseek R1 vs OpenAI O1"     }   ],   "model": "deepseek-r1-distill-llama-70b",   "temperature": 0.6,   "max_completion_tokens": 4096,   "top_p": 0.95,   "stream": false,   "stop": null } 

👉 Replace <your-api-key> with your actual API key.

Why Use Groq for Deepseek R1?

✅ Faster Inference – Groq’s hardware accelerates LLM responses significantly.
✅ Easy API Integration – Works seamlessly with OpenAI-style API requests.
✅ High Token Limit – Supports long responses up to 131072 tokens.

💡 Pro Tip: Adjust the temperature and top_p parameters to fine-tune response randomness and creativity.

Have you tried using Deepseek R1 via Groq? Share your experiences in the comments! 🚀

Download the n8n template: https://drive.google.com/file/d/1ImStl41g32DD7RdcKP0YYAqO4q18jhWI/view?usp=download