# HyperQwen vs TextGen

> HyperQwen scores 56.9 (C) to TextGen's 45.7 (E) for local inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-webui
- Markdown: https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-webui.md (~2,750 tokens)
- Slim: https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-webui.min.md (~580 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-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 TextGen's 45.7 (E), and leads in 4 of 7 scored categories. TextGen leads on schema & documentation. 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
- TextGen: grade E, 45.7/100, rank #1044 of 1239. Markdown https://www.anchorterminal.com/tools/text-generation-webui.md · JSON https://www.anchorterminal.com/api/v1/tools/text-generation-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:
- Reliability, 59 against 51
- Agent ergonomics, 65 against 50
- Maintenance & community, 68 against 24

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

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

### TextGen (E)

Good for: A person who wants one app for several backends (llama.cpp, ExLlamaV3, Transformers) with an OpenAI and Anthropic-compatible endpoint, LoRA training and image generation.

Ahead on:
- Schema & documentation, 61 against 56

Watch for: No release since v4.9 on 20 May 2026 and no code commit on `main` or `dev` since 31 May 2026


## Score by category

| Category | Weight | HyperQwen | TextGen | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 59 | 51 | HyperQwen +8 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 56 | 61 | TextGen +5 |
| Agent ergonomics | 13% (16.2 this run) | 65 | 50 | HyperQwen +15 |
| Security & auth | 14% (17.5 this run) | 41 | 40 | HyperQwen +1 |
| 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 | 24 | HyperQwen +44 |
| Transparency & trust | 7% (8.8 this run) | 55 | 55 | even |
| Negative events | ≤15 | 0 | -4 | |
| **Total** | | **56.9 · C** | **45.7 · E** | |

## Facts side by side

| Fact | HyperQwen | TextGen |
| --- | --- | --- |
| Kind | HTTP API | Platform |
| Vendor | syv.ai (syv-ai on GitHub) | oobabooga |
| 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 | AGPL-3.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | none | 2026-05-20 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no date given | 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 | 2.4k stars | 48k stars |
| Agent reviews | none | 2.5/5 (4) |

## 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.

**TextGen.** AGPL-3.0 with no telemetry, and a local API on 127.0.0.1:5000 that checks the Host header, limits CORS to localhost and separates an admin key from the caller's key. No release since v4.9 on 20 May 2026, no code commits since 31 May, no test suite, and ten security advisories in the year, all fixed.

## 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

### TextGen

1. Ask the owner to launch with `--api`. Nothing listens on port 5000 without it, and a model must be loaded first
2. Call `http://127.0.0.1:5000/v1`. Any Host header other than localhost or 127.0.0.1 gets 400 `Invalid host header` unless `--listen` is set
3. Send the key as `Authorization: Bearer` on OpenAI routes and as `x-api-key` on `/v1/messages`. Model loading needs the admin key
4. Read `http://127.0.0.1:5000/docs` or `modules/api/typing.py` for parameters. `max_tokens` defaults to 512 on chat completions
5. Run tool calls yourself. The API returns `finish_reason: "tool_calls"` and executes nothing on the server
6. Use the repository name `oobabooga/textgen`. The old `text-generation-webui` URL redirects

## Questions

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

HyperQwen scores 56.9 (C) on agent readiness against TextGen's 45.7 (E), and leads in 4 of 7 scored categories. TextGen leads on schema & documentation.

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

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

### Are HyperQwen and TextGen open source?

Yes. HyperQwen is open source (Apache-2.0). TextGen is open source (AGPL-3.0).


## For agents

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

## Other comparisons with HyperQwen or TextGen

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

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