Leanroute vs Groq
Multi-provider gateway vs LPU-accelerated inference host.
Different tools in the same tool-belt. Groq runs open-weight models (Llama, Mixtral, DeepSeek, Whisper) on custom LPU hardware — the fastest tokens/sec you can get on those models today. Leanroute is a gateway that reaches every major provider through one OpenAI-compatible endpoint. If your app is Llama-only and latency is everything, go direct to Groq. If you route to multiple providers, want MCP passthrough, or need failover across providers, use Leanroute.
Snapshot date: August 2026. Groq provider adapter is on our v2 roadmap — once shipped, you'll route to Groq via Leanroute the same way you route to OpenAI.
TL;DR
Pick Groq if your workload is exclusively Llama or Mixtral, latency is the deciding factor, and you don't need MCP, OpenAI, Anthropic, or Google. Pick Leanroute if your app calls multiple providers, needs a single billing surface, wants MCP forwarding on Anthropic, or uses APAC providers. Use both (once Leanroute's Groq adapter ships) — Leanroute routes Llama to Groq for speed, everything else to the right provider.
Where we differ
| Dimension | Leanroute | Groq |
|---|---|---|
| Category | Multi-provider gateway (routes to 11 providers) | Inference host (runs Llama, Mixtral, DeepSeek on LPU hardware) |
| Raw tokens/sec on supported models | Whatever the upstream provider serves at | 500-1000+ tokens/sec on Llama 3.3 70B (LPU hardware) |
| Model catalog | 50+ across every major provider | Curated: Llama, Mixtral, DeepSeek, Whisper, Gemma (~15 models) |
| OpenAI models | Yes — routes to OpenAI directly | No (Groq only hosts open-weight models) |
| Anthropic Claude | Yes — plus MCP passthrough | No |
| Native MCP passthrough | Yes on Anthropic models | Not supported |
| Wire format | OpenAI-compatible | OpenAI-compatible |
| Pricing | Provider list price + $15/mo BYOK OR 5% top-up | Per-token pricing (competitive for supported models) |
| APAC / India providers | Qwen, GLM, Doubao, Kimi, Sarvam, Krutrim | No |
| Cross-provider failover | Automatic — 5xx on Groq retries on OpenAI or Together same-tier | Single provider (Groq itself) |
Where Groq still wins
- Raw speed. Nothing else matches Groq's tokens/sec on Llama 3.3 70B. For real-time voice agents, live translation, or streaming that has to feel instant, Groq is the answer.
- Custom LPU hardware. Purpose-built for LLM inference — a technology moat that per-token pricing on rented GPUs can't match.
- Direct integration. If Llama is all you need, one API key vs. two.
See also: vs Vercel AI · vs AWS Bedrock · vs OpenRouter