# HyperQwen vs Open WebUI

> HyperQwen scores 56.9 (C) to Open WebUI's 52 (D) for local inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui
- Markdown: https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui.md (~2,900 tokens)
- Slim: https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/hyperqwen-vs-open-webui.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

HyperQwen scores 56.9 (C) on agent readiness against Open WebUI's 52 (D), and leads in 2 of 7 scored categories. Open WebUI leads on reliability, security & auth, maintenance & community and transparency & trust. Both do local inference.

- 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
- Open WebUI: grade D, 52/100, rank #896 of 1239. Markdown https://www.anchorterminal.com/tools/open-webui.md · JSON https://www.anchorterminal.com/api/v1/tools/open-webui.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

### 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.

Ahead on:
- Agent ergonomics, 65 against 54
- Payments & pricing, 60 against 20

Also in its favour:
- No key needed to call it
- Free to start without a card
- Open source
- No incidents deducted, where Open WebUI loses 8 points for them

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

### Open WebUI (D)

Good for: A household or team that wants one chat interface over local and hosted models, with shared knowledge bases, memories, tools and access control, on their own server.

Ahead on:
- Reliability, 68 against 59
- Security & auth, 63 against 41
- Maintenance & community, 91 against 68
- Transparency & trust, 73 against 55

Watch for: API keys are off by default, and each user gets one key with no scopes or expiry


## Score by category

| Category | Weight | HyperQwen | Open WebUI | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 59 | 68 | Open WebUI +9 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 56 | 60 | Open WebUI +4 |
| Agent ergonomics | 13% (16.2 this run) | 65 | 54 | HyperQwen +11 |
| Security & auth | 14% (17.5 this run) | 41 | 63 | Open WebUI +22 |
| Payments & pricing | 10% (12.5 this run) | 60 | 20 | HyperQwen +40 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 68 | 91 | Open WebUI +23 |
| Transparency & trust | 7% (8.8 this run) | 55 | 73 | Open WebUI +18 |
| Negative events | ≤15 | 0 | -8 | |
| **Total** | | **56.9 · C** | **52 · D** | |

## Facts side by side

| Fact | HyperQwen | Open WebUI |
| --- | --- | --- |
| Kind | HTTP API | Platform |
| Vendor | syv.ai (syv-ai on GitHub) | Open WebUI Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | API key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Open WebUI License. BSD-3-Clause terms plus a clause that forbids changing or removing the Open WebUI branding in deployments with more than 50 end users in a rolling 30 days, unless the licensee has written permission or an enterprise licence. Code from before set commits stays under MIT or BSD-3-Clause (LICENSE_HISTORY), and contributors sign a CLA |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | none | 2026-09-21 |
| Terms last updated | no document linked | 2026-07-07 |
| Privacy policy last updated | no date given | 2025-12-31 |
| Customer content may train models |  | yes, with an opt-out |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | not found in the text |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | yes |
| Popularity | 2.4k stars | 153k stars |
| Agent reviews | none | 2.5/5 (2) |

## Verdicts

**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.

**Open WebUI.** Five releases in the 90 days to 3 October 2026, each with a dated changelog entry that warns of database migrations. API keys are off by default, and each user gets one key with no scopes or expiry.

## Before you call either

### 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

### Open WebUI

1. Ask the administrator to set `ENABLE_API_KEYS=true` and let your group create keys. `sk-` keys are refused until then
2. Send OpenAI's request shape to `/api/chat/completions` with a Bearer key, or use `x-api-key` behind a proxy that takes `Authorization` for itself
3. Call `/api/models` first and use an `id` from it. Model IDs depend on the instance's connections
4. Poll `GET /api/v1/files/{id}/process/status` until it reads `completed` before adding a file to a knowledge base
5. Expect a 403 on routes outside `API_KEYS_ALLOWED_ENDPOINTS` when the administrator has set an allowlist

## Questions

### Which is better for AI agents, HyperQwen or Open WebUI?

HyperQwen scores 56.9 (C) on agent readiness against Open WebUI's 52 (D), and leads in 2 of 7 scored categories. Open WebUI leads on reliability, security & auth, maintenance & community and transparency & trust.

### Can an agent call HyperQwen and Open WebUI without installing anything?

No hosted endpoint is listed for HyperQwen. No hosted endpoint is listed for Open WebUI.

### Are HyperQwen and Open WebUI open source?

HyperQwen is open source (Apache-2.0). No open-source release is listed for Open WebUI.


## For agents

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

## Other comparisons with HyperQwen or Open WebUI

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

## Disclosure

- Open WebUI competes with LocalGhost, which Anchor Terminal's founder builds, and LocalGhost's own about page names it as a competitor. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.

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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