Head to head · Local inference · October 2026 research run
Berth vs HyperQwen
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.
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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 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
Best 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 this run | Berth | HyperQwen | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 76 | 59 | Berth +17 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 69 | 56 | Berth +13 |
| Agent ergonomics | 13%16.2 | 75 | 65 | Berth +10 |
| Security & auth | 14%17.5 | 51 | 41 | Berth +10 |
| 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 | 68 | Berth +8 |
| Transparency & trust | 7%8.8 | 68 | 55 | Berth +13 |
| Negative events | ≤15 | 0 | 0 | |
| Total | B 67.6/100 | C 56.9/100 |
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
- 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
HyperQwen
- Call http://127.0.0.1:18020/v1 with model
qwen3.8-27band theVLLM_API_KEYvalue, or any string if no key was set - Poll
/healthbefore the first request. A first start downloads and prepares the model and compiles kernels, which can take over 30 minutes - Declare the context window your setup uses (65,536 by default, 131,072 for
CTX=long, 245,760 forCTX=huge) so the client doesn't truncate - Ask the owner to set
VLLM_API_KEYbefore settingBIND=0.0.0.0, and to front the port with a proxy that allowlists routes - 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).
Other comparisons with Berth or HyperQwen
- AnythingLLM vs Berth
- AnythingLLM vs HyperQwen
- Berth vs BitRun
- Berth vs Docker Model Runner
- Berth vs Foundry Local
- Berth vs Core
- Berth vs GPT4All
- Berth vs Jan
- Berth vs Khoj
- Berth vs KoboldCpp
- Berth vs Lemonade
- Berth vs llama.cpp
- Berth vs LM Studio
- Berth vs LocalAI
- Berth vs MLX LM
- Berth vs Ollama
- Berth vs Open WebUI
- Berth vs screenpipe
- Berth vs TextGen
- Berth vs vLLM
- BitRun vs HyperQwen
- Docker Model Runner vs HyperQwen
- Foundry Local vs HyperQwen
- Core vs HyperQwen
- GPT4All vs HyperQwen
- HyperQwen vs Jan
- HyperQwen vs Khoj
- HyperQwen vs KoboldCpp
- HyperQwen vs Lemonade
- HyperQwen vs llama.cpp
- HyperQwen vs LM Studio
- HyperQwen vs LocalAI
- HyperQwen vs MLX LM
- HyperQwen vs Ollama
- HyperQwen vs Open WebUI
- HyperQwen vs screenpipe
- HyperQwen vs TextGen
- HyperQwen vs vLLM
- HyperQwen vs Underdog
Machine-readable
- This page as Markdown
/compare/berth-vs-hyperqwen.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/berth.json·/api/v1/tools/hyperqwen.json - From a terminal
anchor compare berth hyperqwen(the CLI) - Over MCP
compare_tools {"a": "berth", "b": "hyperqwen"}at/mcp, no key