# Berth vs HyperQwen

> Berth scores 67.6 (B) to HyperQwen's 56.9 (C) for local inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/berth-vs-hyperqwen
- Markdown: https://www.anchorterminal.com/compare/berth-vs-hyperqwen.md (~2,700 tokens)
- Slim: https://www.anchorterminal.com/compare/berth-vs-hyperqwen.min.md (~580 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/berth-vs-hyperqwen.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
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-10-30

Berth scores 67.6 (B) on agent readiness against HyperQwen's 56.9 (C), and leads in 6 of 7 scored categories. Both do local inference.

- Berth: grade B, 67.6/100, rank #284 of 1239. Markdown https://www.anchorterminal.com/tools/berth.md · JSON https://www.anchorterminal.com/api/v1/tools/berth.json
- HyperQwen: grade C, 56.9/100, rank #738 of 1239. Markdown https://www.anchorterminal.com/tools/hyperqwen.md · JSON https://www.anchorterminal.com/api/v1/tools/hyperqwen.json
- Best local AI models and assistants: https://www.anchorterminal.com/best/local-ai/index.md
- All 253 local ai comparisons: https://www.anchorterminal.com/compare/local-ai/index.md

## Which one, for what

### Berth (B)

Good 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 59
- Schema & documentation, 69 against 56
- Agent ergonomics, 75 against 65
- Security & auth, 51 against 41
- Maintenance & community, 76 against 68
- Transparency & trust, 68 against 55

Watch for: First released on 11 October 2026 and called alpha. Windows, AMD and multiple GPUs are experimental, and the gateway is a preview

### HyperQwen (C)

Good for: An operator with one 24 GB NVIDIA card who wants Qwen3.8-27B behind an OpenAI-compatible endpoint for a coding or tool-calling agent, with long context.

Also in its favour:
- No key needed to call it

Watch for: Serves Qwen3.8-27B and checkpoints derived from it only. Other models are on the roadmap


## Score by category

| Category | Weight | Berth | HyperQwen | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 76 | 59 | Berth +17 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 69 | 56 | Berth +13 |
| Agent ergonomics | 13% (16.2 this run) | 75 | 65 | Berth +10 |
| Security & auth | 14% (17.5 this run) | 51 | 41 | Berth +10 |
| 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 | 68 | Berth +8 |
| Transparency & trust | 7% (8.8 this run) | 68 | 55 | Berth +13 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **67.6 · B** | **56.9 · C** | |

## Facts side by side

| Fact | Berth | HyperQwen |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Trevin Tindall (T-Crypt on GitHub) | syv.ai (syv-ai on GitHub) |
| 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 | none |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no date given |
| 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 | 2.4k 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.

**HyperQwen.** HyperQwen packages a patched vLLM 0.32.0 and requantised Qwen3.8-27B weights into one container with tool calling preset and a loopback bind when no key is set. It runs one model family, its speed figures come from one RTX 3090, and it has no versioned releases, changelog or security policy.

## Before you call either

### Berth

1. Run `berth status --format json` before starting, stopping or switching any GPU engine. If berthd is unreachable, no engine is protected
2. Never kill a process to free VRAM. Ask for the card with `berth run`, `berth hold` or a gateway request, and report stowaways to the user
3. Send gateway requests to http://127.0.0.1:9799/v1 with `Authorization: Bearer $(berth key)`, and use `"stream": true` for cold starts of up to minutes
4. On a 503, read the `code` and wait for `Retry-After`. A pinned holder (a game or `berth hold`) answers 409 to stop and is the user's call
5. Ask the user before `berth reclaim LEASE --yes`, any berth.toml edit or `berth update`. Each changes the node

### HyperQwen

1. Call http://127.0.0.1:18020/v1 with model `qwen3.8-27b` and the `VLLM_API_KEY` value, or any string if no key was set
2. Poll `/health` before the first request. A first start downloads and prepares the model and compiles kernels, which can take over 30 minutes
3. Declare the context window your setup uses (65,536 by default, 131,072 for `CTX=long`, 245,760 for `CTX=huge`) so the client doesn't truncate
4. Ask the owner to set `VLLM_API_KEY` before setting `BIND=0.0.0.0`, and to front the port with a proxy that allowlists routes
5. Treat the README's tokens-per-second figures as the project's measurements on one RTX 3090 at 250 W

## Questions

### Which is better for AI agents, Berth or HyperQwen?

Berth scores 67.6 (B) on agent readiness against HyperQwen's 56.9 (C), and leads in 6 of 7 scored categories.

### Do Berth and HyperQwen need an API key?

Berth needs an API key. HyperQwen needs no key.

### Can an agent call Berth and HyperQwen without installing anything?

No hosted endpoint is listed for Berth. No hosted endpoint is listed for HyperQwen.

### Are Berth and HyperQwen 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). HyperQwen is open source (Apache-2.0).


## For agents

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

## Other comparisons with Berth or HyperQwen

- [AnythingLLM vs Berth](https://www.anchorterminal.com/compare/anythingllm-vs-berth.md)
- [AnythingLLM vs HyperQwen](https://www.anchorterminal.com/compare/anythingllm-vs-hyperqwen.md)
- [Berth vs BitRun](https://www.anchorterminal.com/compare/berth-vs-bitrun.md)
- [Berth vs Docker Model Runner](https://www.anchorterminal.com/compare/berth-vs-docker-model-runner.md)
- [Berth vs Foundry Local](https://www.anchorterminal.com/compare/berth-vs-foundry-local.md)
- [Berth vs Core](https://www.anchorterminal.com/compare/berth-vs-ghost-core.md)
- [Berth vs GPT4All](https://www.anchorterminal.com/compare/berth-vs-gpt4all.md)
- [Berth vs Jan](https://www.anchorterminal.com/compare/berth-vs-jan.md)
- [Berth vs Khoj](https://www.anchorterminal.com/compare/berth-vs-khoj.md)
- [Berth vs KoboldCpp](https://www.anchorterminal.com/compare/berth-vs-koboldcpp.md)
- [Berth vs Lemonade](https://www.anchorterminal.com/compare/berth-vs-lemonade.md)
- [Berth vs llama.cpp](https://www.anchorterminal.com/compare/berth-vs-llama-cpp.md)
- [Berth vs LM Studio](https://www.anchorterminal.com/compare/berth-vs-lm-studio.md)
- [Berth vs LocalAI](https://www.anchorterminal.com/compare/berth-vs-localai.md)
- [Berth vs MLX LM](https://www.anchorterminal.com/compare/berth-vs-mlx-lm.md)
- [Berth vs Ollama](https://www.anchorterminal.com/compare/berth-vs-ollama.md)
- [Berth vs Open WebUI](https://www.anchorterminal.com/compare/berth-vs-open-webui.md)
- [Berth vs screenpipe](https://www.anchorterminal.com/compare/berth-vs-screenpipe.md)
- [Berth vs TextGen](https://www.anchorterminal.com/compare/berth-vs-text-generation-webui.md)
- [Berth vs vLLM](https://www.anchorterminal.com/compare/berth-vs-vllm.md)
- [BitRun vs HyperQwen](https://www.anchorterminal.com/compare/bitrun-vs-hyperqwen.md)
- [Docker Model Runner vs HyperQwen](https://www.anchorterminal.com/compare/docker-model-runner-vs-hyperqwen.md)
- [Foundry Local vs HyperQwen](https://www.anchorterminal.com/compare/foundry-local-vs-hyperqwen.md)
- [Core vs HyperQwen](https://www.anchorterminal.com/compare/ghost-core-vs-hyperqwen.md)
- [GPT4All vs HyperQwen](https://www.anchorterminal.com/compare/gpt4all-vs-hyperqwen.md)
- [HyperQwen vs Jan](https://www.anchorterminal.com/compare/hyperqwen-vs-jan.md)
- [HyperQwen vs Khoj](https://www.anchorterminal.com/compare/hyperqwen-vs-khoj.md)
- [HyperQwen vs KoboldCpp](https://www.anchorterminal.com/compare/hyperqwen-vs-koboldcpp.md)
- [HyperQwen vs Lemonade](https://www.anchorterminal.com/compare/hyperqwen-vs-lemonade.md)
- [HyperQwen vs llama.cpp](https://www.anchorterminal.com/compare/hyperqwen-vs-llama-cpp.md)
- [HyperQwen vs LM Studio](https://www.anchorterminal.com/compare/hyperqwen-vs-lm-studio.md)
- [HyperQwen vs LocalAI](https://www.anchorterminal.com/compare/hyperqwen-vs-localai.md)
- [HyperQwen vs MLX LM](https://www.anchorterminal.com/compare/hyperqwen-vs-mlx-lm.md)
- [HyperQwen vs Ollama](https://www.anchorterminal.com/compare/hyperqwen-vs-ollama.md)
- [HyperQwen vs Open WebUI](https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui.md)
- [HyperQwen vs screenpipe](https://www.anchorterminal.com/compare/hyperqwen-vs-screenpipe.md)
- [HyperQwen vs TextGen](https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-webui.md)
- [HyperQwen vs vLLM](https://www.anchorterminal.com/compare/hyperqwen-vs-vllm.md)
- [HyperQwen vs Underdog](https://www.anchorterminal.com/compare/hyperqwen-vs-underdog.md)

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Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp