# Lemonade vs vLLM (slim)

> Lemonade scores 63.8 (B) to vLLM's 57.7 (C) for local inference. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/lemonade-vs-vllm.md (~2,650 tokens) · this version ~580 tokens · JSON https://www.anchorterminal.com/compare/lemonade-vs-vllm.json · canonical https://www.anchorterminal.com/compare/lemonade-vs-vllm
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

Lemonade scores 63.8 (B) on agent readiness against vLLM's 57.7 (C), and leads in 3 of 7 scored categories. vLLM leads on security & auth and maintenance & community. Both do local inference.

- Lemonade: B 63.8, rank #372 of 950 · https://www.anchorterminal.com/tools/lemonade.min.md
- vLLM: C 57.7, rank #600 of 950 · https://www.anchorterminal.com/tools/vllm.min.md
- Lemonade, good for An owner with AMD hardware (Ryzen AI NPUs, Radeon or Strix Halo) who wants one local server for chat, speech and images that existing OpenAI, Anthropic or Ollama clients can call, and for MCP clients that want local models as tools. Ahead on Reliability, 75 against 62; Agent ergonomics, 70 against 64. Also No incidents deducted, where vLLM loses 6 points for them.
- vLLM, good for An owner with a GPU server who wants many concurrent requests against one open-weight model behind OpenAI or Anthropic compatible routes. Ahead on Security & auth, 50 against 36; Maintenance & community, 88 against 76. Also No key needed to call it.

| Category | Lemonade | vLLM |
| --- | --- | --- |
| Reliability (16%) | 75 | 62 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 70 | 68 |
| Agent ergonomics (13%) | 70 | 64 |
| Security & auth (14%) | 36 | 50 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 76 | 88 |
| Transparency & trust (7%) | 64 | 67 |

| Fact (where they differ) | Lemonade | vLLM |
| --- | --- | --- |
| Vendor | AMD and the Lemonade community | vLLM project (PyTorch Foundation) |
| Auth | API key | None |
| Licence | Apache 2.0. Each backend (llama.cpp, whisper.cpp, stable-diffusion.cpp, FastFlowLM and others) is downloaded separately under its own licence | Apache-2.0 |
| Tools exposed | 6 | none |
| Last release | 2026-10-07 | 2026-10-02 |
| Popularity | 5.8k stars | 93k stars |