# Lemonade vs vLLM

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

- Canonical: https://www.anchorterminal.com/compare/lemonade-vs-vllm
- Markdown: https://www.anchorterminal.com/compare/lemonade-vs-vllm.md (~2,650 tokens)
- Slim: https://www.anchorterminal.com/compare/lemonade-vs-vllm.min.md (~580 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/lemonade-vs-vllm.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.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: grade B, 63.8/100, rank #372 of 950. Markdown https://www.anchorterminal.com/tools/lemonade.md · JSON https://www.anchorterminal.com/api/v1/tools/lemonade.json
- vLLM: grade C, 57.7/100, rank #600 of 950. Markdown https://www.anchorterminal.com/tools/vllm.md · JSON https://www.anchorterminal.com/api/v1/tools/vllm.json
- Best local AI models and assistants: https://www.anchorterminal.com/best/local-ai/index.md
- All 184 local ai comparisons: https://www.anchorterminal.com/compare/local-ai/index.md

## Which one, for what

### Lemonade (B)

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 in its favour:
- No incidents deducted, where vLLM loses 6 points for them

Watch for: No authentication by default. With no key set, every route answers, including `/internal/*` shutdown and configuration

### vLLM (C)

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 in its favour:
- No key needed to call it

Watch for: `--api-key` guards only the `/v1`, `/v2`, `/inference` and `/cohere` prefixes. `/invocations`, `/pooling`, `/classify`, `/score`, `/rerank`, `/pause` and `/update_weights` answer without it


## Score by category

| Category | Weight | Lemonade | vLLM | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 75 | 62 | Lemonade +13 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 70 | 68 | Lemonade +2 |
| Agent ergonomics | 13% (16.2 this run) | 70 | 64 | Lemonade +6 |
| Security & auth | 14% (17.5 this run) | 36 | 50 | vLLM +14 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 76 | 88 | vLLM +12 |
| Transparency & trust | 7% (8.8 this run) | 64 | 67 | vLLM +3 |
| Negative events | ≤15 | 0 | -6 | |
| **Total** | | **63.8 · B** | **57.7 · C** | |

## Facts side by side

| Fact | Lemonade | vLLM |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | AMD and the Lemonade community | vLLM project (PyTorch Foundation) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Free | Free |
| x402 | no | no |
| 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 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-07 | 2026-10-02 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models |  |  |
| Terms restrict automated access |  |  |
| Terms restrict benchmarking |  |  |
| Terms or service can change without notice |  |  |
| Arbitration or class-action waiver |  |  |
| Popularity | 5.8k stars | 93k stars |

## Verdicts

**Lemonade.** Apache 2.0, with weekly releases, installers for Windows, macOS and five Linux routes, and a six-tool MCP endpoint whose descriptions steer a caller away from accidental multi-gigabyte downloads. Authentication is off by default, the repository has no security policy, and the docs tell WebSocket clients to pass the key in the URL.

**vLLM.** Apache-2.0 software with a release about every two weeks, each with notes that list breaking changes and security fixes. The optional API key covers only some path prefixes, so `/invocations` and control routes such as `/pause` answer without it, and at least 81 security advisories were published in the 12 months to 9 October 2026.

## Before you call either

### Lemonade

1. Call `lemonade_list_models` (or `GET /v1/models`) before naming a model. A wrong name with `allow_download: true` can start a multi-gigabyte download
2. Send `Authorization: Bearer <key>` when the operator has set `LEMONADE_API_KEY`. `/internal/*` needs the admin key when one is set
3. Use `POST /v1/chat/completions` for streamed tokens, embeddings and speech. The MCP endpoint ignores `stream` and has no embeddings or text-to-speech tool
4. Pass `output_dir` to `lemonade_generate_image` and `lemonade_omni` to get file paths in place of inline base64. Writes stay inside the MCP media sandbox
5. Read `GET /v1/docs` on the running server for the reference that matches its version. Weekly releases change behaviour

### vLLM

1. Put a reverse proxy that allowlists routes in front of the server. `--api-key` leaves `/invocations` and the control routes open
2. Pass `--host 127.0.0.1` for single-machine use. With no `--host` the server listens on every interface
3. Set `VLLM_NO_USAGE_STATS=1` or `DO_NOT_TRACK=1` before starting if nothing should be sent to stats.vllm.ai
4. Start with `--enable-auto-tool-choice` and the `--tool-call-parser` for the model before sending tools. Tool calling is off without them
5. Send `max_tokens` on every request, and read the breaking changes section of the release notes before upgrading a minor version

## Questions

### Which is better for AI agents, Lemonade or vLLM?

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.

### Do Lemonade and vLLM need an API key?

Lemonade needs an API key. vLLM needs no key.

### Can an agent call Lemonade and vLLM without installing anything?

No hosted endpoint is listed for Lemonade. No hosted endpoint is listed for vLLM.

### Are Lemonade and vLLM open source?

Yes. Lemonade is open source (Apache 2.0. Each backend (llama.cpp, whisper.cpp, stable-diffusion.cpp, FastFlowLM and others) is downloaded separately under its own licence). vLLM is open source (Apache-2.0).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/lemonade-vs-vllm.json, and with the fewest tokens: https://www.anchorterminal.com/compare/lemonade-vs-vllm.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "lemonade", "b": "vllm"}`. From a terminal: `anchor compare lemonade vllm`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/lemonade.json and https://www.anchorterminal.com/api/v1/tools/vllm.json

## Other comparisons with Lemonade or vLLM

- [AnythingLLM vs Lemonade](https://www.anchorterminal.com/compare/anythingllm-vs-lemonade.md)
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