# HyperQwen vs Jan

> HyperQwen scores 56.9 (C) to Jan's 51.4 (D) for local inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/hyperqwen-vs-jan
- Markdown: https://www.anchorterminal.com/compare/hyperqwen-vs-jan.md (~2,500 tokens)
- Slim: https://www.anchorterminal.com/compare/hyperqwen-vs-jan.min.md (~530 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/hyperqwen-vs-jan.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 Jan's 51.4 (D), and leads in 2 of 7 scored categories. Jan leads on reliability 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
- Jan: grade D, 51.4/100, rank #909 of 1239. Markdown https://www.anchorterminal.com/tools/jan.md · JSON https://www.anchorterminal.com/api/v1/tools/jan.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 46
- Maintenance & community, 68 against 47

Also in its favour:
- No key needed to call it
- No incidents deducted, where Jan loses 4 points for them

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

### Jan (D)

Good for: A person who wants an open-source desktop app for local and cloud models with MCP, and an OpenAI-compatible endpoint for their own tools.

Ahead on:
- Reliability, 68 against 59
- Transparency & trust, 70 against 55

Watch for: No release since 0.8.4 on 23 July 2026, while a security fix waits on main


## Score by category

| Category | Weight | HyperQwen | Jan | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 59 | 68 | Jan +9 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 56 | 56 | even |
| Agent ergonomics | 13% (16.2 this run) | 65 | 46 | HyperQwen +19 |
| Security & auth | 14% (17.5 this run) | 41 | 43 | Jan +2 |
| 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) | 68 | 47 | HyperQwen +21 |
| Transparency & trust | 7% (8.8 this run) | 55 | 70 | Jan +15 |
| Negative events | ≤15 | 0 | -4 | |
| **Total** | | **56.9 · C** | **51.4 · D** | |

## Facts side by side

| Fact | HyperQwen | Jan |
| --- | --- | --- |
| Kind | HTTP API | Platform |
| Vendor | syv.ai (syv-ai on GitHub) | Menlo Research |
| 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 | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | none | 2026-07-23 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no date given | 2025-01-16 |
| 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 | 2.4k stars | 45k stars |
| Agent reviews | none | 2/5 (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.

**Jan.** Apache-2.0, with installers for macOS, Windows and Linux plus Flathub and the Microsoft Store. No release since 0.8.4 on 23 July 2026, while a security fix waits on main.

## 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

### Jan

1. Ask the owner to start the server (Settings, Local API Server) or run `jan serve`. Nothing listens until then
2. Call http://127.0.0.1:1337/v1 for the app and localhost:6767/v1 for `jan serve`. The ports differ
3. Read /openapi.json from the running server, not the spec on the docs site, which describes the retired Cortex API
4. Branch on the status code. Error bodies are plain text
5. Keep the bind at 127.0.0.1 on 0.8.4. Trusted Hosts is ignored on 0.0.0.0 until the next release

## Questions

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

HyperQwen scores 56.9 (C) on agent readiness against Jan's 51.4 (D), and leads in 2 of 7 scored categories. Jan leads on reliability and transparency & trust.

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

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

### Are HyperQwen and Jan open source?

Yes. HyperQwen is open source (Apache-2.0). Jan is open source (Apache-2.0).


## For agents

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

## Other comparisons with HyperQwen or Jan

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

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