Leanroute vs Groq
Groq vs Leanroute.
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 tools that work on every model, or need failover across providers, use Leanroute.
Snapshot date: October 2026. Groq provider adapter shipped 2026-08-13 — you can now route to Groq via Leanroute using model ids like groq/openai/gpt-oss-120b or groq/openai/gpt-oss-20b.
TL;DR
Pick Groq direct if your workload is exclusively Llama or gpt-oss, latency is the deciding factor, and you don't need OpenAI, Anthropic, Google, guardrails, or spend caps. Pick Leanroute if your app calls multiple providers, needs a single billing surface, wants the same MCP tools on every model, uses APAC providers, or wants Groq's speed AS ONE OF the routable targets alongside everything else. Use both together — Leanroute routes Llama to Groq for LPU speed, everything else to the right provider, one bill, one API key.
Where we differ
| Dimension | Leanroute | Groq |
|---|---|---|
| Category | Multi-provider gateway (routes to 14 providers, including Groq) | Inference host (runs Llama + gpt-oss on LPU hardware) |
| Raw tokens/sec on supported models | When routing to Groq: same LPU speed. Otherwise: upstream's default. | 500-1000+ tokens/sec on Llama 3.3 70B / gpt-oss-20b (LPU hardware) |
| Model catalog | 100+ across 14 providers (including Groq's Llama + gpt-oss) | Curated: Llama 3.3 70B, Llama 3.1 8B, gpt-oss-20b/120b, Whisper, Compound |
| OpenAI models | Yes — routes to OpenAI directly | No (Groq only hosts open-weight models) |
| Anthropic Claude | Yes | No |
| MCP tool calling | Gateway runs the tool loop on any model, via `mcp_servers` on chat completions | Remote MCP servers via its Responses API (beta), on Groq-hosted models |
| Wire format | OpenAI-compatible | OpenAI-compatible |
| Pricing | Provider list price + $15/mo BYOK OR 2% top-up fee | 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 / DeepSeek same-tier | Single provider (Groq itself) |
| Route to Groq via Leanroute | Yes — model IDs `groq/openai/gpt-oss-120b`, `groq/openai/gpt-oss-20b`. | N/A — you'd hit Groq directly |
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