Head to head · Local inference · October 2026 research run
Berth vs vLLM
Berth scores 67.6 (B) on agent readiness against vLLM's 57.8 (C), and leads in 4 of 7 scored categories. vLLM leads on maintenance & community. Both do local inference.
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Which one, for what
Berth B
Best for Someone running several GPU programs (llama.cpp, llama-swap, Ollama, vLLM, ComfyUI, games) on one NVIDIA card who wants them to take turns, and agents that need to ask for the card.
Ahead on
- Reliability, 76 against 62
- Agent ergonomics, 75 against 64
Also in its favour
- No incidents deducted, where vLLM loses 6 points for them
Watch for
First released on 11 October 2026 and called alpha. Windows, AMD and multiple GPUs are experimental, and the gateway is a preview
vLLM C
Best 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
- 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 this run | Berth | vLLM | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 76 | 62 | Berth +14 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 69 | 68 | Berth +1 |
| Agent ergonomics | 13%16.2 | 75 | 64 | Berth +11 |
| Security & auth | 14%17.5 | 51 | 50 | Berth +1 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 76 | 88 | vLLM +12 |
| Transparency & trust | 7%8.8 | 68 | 68 | even |
| Negative events | ≤15 | 0 | -6 | |
| Total | B 67.6/100 | C 57.8/100 |
Facts side by side
| Fact | Berth | vLLM |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | Trevin Tindall (T-Crypt on GitHub) | 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. The Berth name, the Pilot mascot and the artwork in assets/ are excluded from the licence, per the NOTICE file | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-23 | 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 | 245 stars | 93k stars |
Verdicts
Berth
Berth coordinates one NVIDIA card between engines, ComfyUI and games, grants a lease only after the driver shows memory free, and gives agents a skill, JSON output and a keyed loopback gateway. It is 17 days old, alpha and maintained by one developer, with Windows and AMD experimental and no machine-readable API spec.
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
Berth
- Run
berth status --format jsonbefore starting, stopping or switching any GPU engine. If berthd is unreachable, no engine is protected - Never kill a process to free VRAM. Ask for the card with
berth run,berth holdor a gateway request, and report stowaways to the user - Send gateway requests to http://127.0.0.1:9799/v1 with
Authorization: Bearer $(berth key), and use"stream": truefor cold starts of up to minutes - On a 503, read the
codeand wait forRetry-After. A pinned holder (a game orberth hold) answers 409 to stop and is the user's call - Ask the user before
berth reclaim LEASE --yes, any berth.toml edit orberth update. Each changes the node
vLLM
- Put a reverse proxy that allowlists routes in front of the server.
--api-keyleaves/invocationsand the control routes open - Pass
--host 127.0.0.1for single-machine use. With no--hostthe server listens on every interface - Set
VLLM_NO_USAGE_STATS=1orDO_NOT_TRACK=1before starting if nothing should be sent to stats.vllm.ai - Start with
--enable-auto-tool-choiceand the--tool-call-parserfor the model before sending tools. Tool calling is off without them - Send
max_tokenson every request, and read the breaking changes section of the release notes before upgrading a minor version
Questions
Which is better for AI agents, Berth or vLLM?
Berth scores 67.6 (B) on agent readiness against vLLM's 57.8 (C), and leads in 4 of 7 scored categories. vLLM leads on maintenance & community.
Do Berth and vLLM need an API key?
Berth needs an API key. vLLM needs no key.
Can an agent call Berth and vLLM without installing anything?
No hosted endpoint is listed for Berth. No hosted endpoint is listed for vLLM.
Are Berth and vLLM open source?
Yes. Berth is open source (Apache-2.0. The Berth name, the Pilot mascot and the artwork in assets/ are excluded from the licence, per the NOTICE file). vLLM is open source (Apache-2.0).
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- Berth vs screenpipe
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- BitRun vs vLLM
- Docker Model Runner vs vLLM
- Foundry Local vs vLLM
- Core vs vLLM
- GPT4All vs vLLM
- Jan vs vLLM
- Khoj vs vLLM
- KoboldCpp vs vLLM
- Lemonade vs vLLM
- llama.cpp vs vLLM
- LM Studio vs vLLM
- LocalAI vs vLLM
- MLX LM vs vLLM
- Ollama vs vLLM
- Open WebUI vs vLLM
- screenpipe vs vLLM
- TextGen vs vLLM
- Underdog vs vLLM
Machine-readable
- This page as Markdown
/compare/berth-vs-vllm.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/berth.json·/api/v1/tools/vllm.json - From a terminal
anchor compare berth vllm(the CLI) - Over MCP
compare_tools {"a": "berth", "b": "vllm"}at/mcp, no key