Groq
Fastest inference API for open-source models — purpose-built for speed
Groq runs open-source models (Llama 3, Mixtral, Gemma) on custom Language Processing Units (LPUs) that deliver inference speeds 10–100x faster than GPU-based cloud providers. It exposes an OpenAI-compatible API, making it a drop-in replacement for any framework already using OpenAI.
Latency-critical agents where response time is a product constraint — real-time chat, voice agents, streaming tools, or high-frequency decision loops.
Engineers building user-facing agents where latency is measurable and matters. Freemium tier for prototyping; paid plans for production volume.
Agent Architecture Fit
Groq fits in the same model layer position as any LLM API but changes the performance profile of your blueprint significantly. For streaming use cases or tight decision loops, switching the model provider to Groq can be the difference between an agent that feels instant and one that feels slow. Not a frontier model replacement — pair with Claude or GPT-4 for complex reasoning, use Groq for high-frequency operations on capable open models.
when reasoning quality and context length matter more than raw speed
when you need offline inference or data residency guarantees
Next step
Your agent starts with a blueprint.
A blueprint tells you which tools to use, where they fit, and how they connect — before you write a line of code.
Build yours free →