OpenRouter vs Groq
OpenRouter and Groq side by side: what each one is, and the full review of each.
OpenRouter
Unified API for hundreds of models. One API key, one billing dashboard. OpenAI, Anthropic, Google, Meta, Mistral, and more. Automatic fallbacks and load balancing.
Groq
LPU-powered inference delivering 500-1,000+ tokens/sec. Purpose-built chip with on-chip SRAM instead of HBM. 5-10x faster than GPU providers. Free tier available.
At a glance
| Field | | |
|---|---|---|
| Category | AI Models | Infrastructure |
| Website | openrouter.ai | groq.com |
In Depth
OpenRouter
OpenRouter gives you a single API endpoint to access every major AI model - OpenAI (GPT), Anthropic (Claude), Google (Gemini), Meta (Llama), Mistral, and hundreds more. One API key, unified billing, automatic fallbacks if a provider is down. It's essential for comparing models without managing multiple API keys and billing accounts. I use it when I need to quickly swap between models for testing or when building apps that should work across providers.
Groq
Groq builds custom Language Processing Units (LPUs) designed exclusively for LLM inference. The result: 500-1,000+ tokens per second on models like Llama 4 Scout and Qwen 3, which is 5-10x faster than typical GPU-based inference. The LPU uses on-chip SRAM instead of external HBM memory, eliminating the memory bandwidth bottleneck that limits GPU inference speed. The Groq 3 LPU, unveiled at GTC 2026, targets 1,500 tokens/sec with 40 petabytes per second of memory bandwidth. The API is OpenAI-compatible, making it a drop-in replacement for existing codebases. For latency-sensitive applications like real-time chat, voice agents, or any use case where time-to-first-token matters, Groq delivers inference speeds that no GPU-based provider can match.
