The fastest LLM inference API — 800+ tokens/second on Llama, Mixtral, and Gemma models.
Technical Overview & Architecture
Groq is an AI hardware and inference company that has built Language Processing Units (LPUs) — custom ASICs specifically designed for sequential LLM inference — that deliver dramatically higher token generation throughput than GPU-based inference clusters. Groq's cloud inference API (GroqCloud) provides access to open-source models (Llama 3.1, Mixtral, Gemma) at speeds exceeding 800 tokens/second — 10–20x faster than GPU-based inference APIs. Groq's architectural advantage stems from the LPU's deterministic on-chip SRAM execution model, which eliminates the memory bandwidth bottlenecks that limit GPU throughput for sequential autoregressive token generation. This makes Groq particularly valuable for latency-sensitive applications: real-time voice agents, interactive coding assistants, and live customer-facing AI features where response speed directly impacts user experience. GroqCloud offers an OpenAI-compatible API endpoint, meaning applications using the OpenAI Python or JS client can switch to Groq inference by changing one environment variable — with zero code changes.
Pricing Breakdown
Transparent tiers and feature allotments for engineering teams.
Free (Developer)
- Rate limited access
- Llama 3.1 8B, 70B, 405B
- Mixtral 8x7B
- Gemma 7B and 2B
- Community support
Pay-as-you-go
- Llama 3.1 8B: $0.05/1M tokens (in), $0.08/1M tokens (out)
- Llama 3.1 70B: $0.59/1M, $0.79/1M
- Llama 3.1 405B: $5.00/1M, $8.00/1M
- Higher rate limits
- Email support
Enterprise
- Dedicated capacity
- SLA guarantees
- Custom rate limits
- On-premise LPU hardware options
Compare Groq Against Alternatives
See how Groq stacks up against competitor tools across speed, APIs, and pricing.