OpenRoutervsGroq

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

OpenRouter

LLM APIs & Inference

Unified API for 200+ AI models from all providers

Groq

LLM APIs & Inference

The fastest AI inference platform — LPU-powered, 1000+ tokens/sec

FeatureOpenRouterGroq
CategoryLLM APIs & InferenceLLM APIs & Inference
PricingPay-per-use (varies by model)Free tier available, pay-per-token for production
GitHub Stars
PlatformsWebWeb
Key Features
  • 200+ models
  • Unified API
  • Auto-fallback
  • Rate limiting
  • Usage tracking
  • OpenAI-compatible
  • LPU hardware — custom chips for inference, not repurposed GPUs
  • GPT OSS 120B at 500 tok/s ($0.15/M input)
  • GPT OSS 20B at 1000 tok/s ($0.075/M input)
  • Llama 4 Scout 17B at 750 tok/s with 131K context + vision
  • Qwen3-32B at 400 tok/s with 131K context
  • Compound AI systems with web search + code execution
  • Whisper transcription ($0.04-0.11/hour)
  • OpenAI-compatible API — drop-in replacement
  • Free developer tier: 250-300K TPM, 1K RPM
Pros
  • + Access to 100+ models via one API
  • + Automatic fallbacks
  • + Pay-per-use pricing
  • + Model comparison features
  • + Free models available
  • + Fastest inference available (500-1000 tok/s)
  • + Free tier with generous limits (250K+ tokens/min)
  • + OpenAI-compatible API — swap one line of code
  • + Latest open-source models (GPT OSS, Llama 4, Qwen3)
  • + Compound AI for agentic workflows (search + code exec)
Cons
  • Added latency from proxy layer
  • Markup on some model prices
  • Depends on upstream availability
  • Limited advanced features
  • Cloud-only — cannot self-host LPU hardware
  • Rate limits on free tier (1K RPM)
  • Smaller model catalog than running locally via Ollama
Tags
apimulti-modelgatewayroutingpay-per-use
inferencefastfreehardware

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