compound-beta-mini
Compound beta mini is a compound AI system powered by an openly available model already supported in GroqCloud to intelligently and selectively use tools to answer user queries, starting first with web search and code execution.
Compound-beta-mini leverages Llama 4 Scout for core reasoning along with Llama 3.3 70B to help with routing and tool use. Unlike compound-beta, it can only use one tool per request, but has an average of 3x lower latency.
Automatically access up-to-date information from the web using the built-in web search tool.
Execute Python code automatically using the code execution tool powered by E2B.
Experience the capabilities of compound-beta-mini
on Groq:
pip install groq
from groq import Groq
client = Groq()
completion = client.chat.completions.create(
model="compound-beta-mini",
messages=[
{
"role": "user",
"content": "Explain why fast inference is critical for reasoning models"
}
]
)
print(completion.choices[0].message.content)