Inference Providers documentation
Groq
Groq
All supported Groq models can be found here
Groq is fast AI inference. Their groundbreaking LPU technology delivers record-setting performance and efficiency for GenAI models. With custom chips specifically designed for AI inference workloads and a deterministic, software-first approach, Groq eliminates the bottlenecks of conventional hardware to enable real-time AI applications with predictable latency and exceptional throughput so developers can build fast.
For latest pricing, visit our pricing page.
Resources
- Website: https://groq.com/
- Documentation: https://console.groq.com/docs
- Community Forum: https://community.groq.com/
- X: @GroqInc
- LinkedIn: Groq
- YouTube: Groq
Supported tasks
Chat Completion (LLM)
Find out more about Chat Completion (LLM) here.
Language
Client
Provider
 Copied
import os
from openai import OpenAI
client = OpenAI(
    base_url="https://router.huggingface.co/v1",
    api_key=os.environ["HF_TOKEN"],
)
completion = client.chat.completions.create(
    model="openai/gpt-oss-20b:groq",
    messages=[
        {
            "role": "user",
            "content": "What is the capital of France?"
        }
    ],
)
print(completion.choices[0].message)Chat Completion (VLM)
Find out more about Chat Completion (VLM) here.
Language
Client
Provider
 Copied
import os
from openai import OpenAI
client = OpenAI(
    base_url="https://router.huggingface.co/v1",
    api_key=os.environ["HF_TOKEN"],
)
completion = client.chat.completions.create(
    model="meta-llama/Llama-4-Scout-17B-16E-Instruct:groq",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Describe this image in one sentence."
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
                    }
                }
            ]
        }
    ],
)
print(completion.choices[0].message) 
 