# HyperQwen vs TextGen (slim)

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

- Full: https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-webui.md (~2,750 tokens) · this version ~580 tokens · JSON https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-webui.json · canonical https://www.anchorterminal.com/compare/hyperqwen-vs-text-generation-webui
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-30
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

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: C 56.9, rank #738 of 1239 · https://www.anchorterminal.com/tools/hyperqwen.min.md
- TextGen: E 45.7, rank #1044 of 1239 · https://www.anchorterminal.com/tools/text-generation-webui.min.md
- HyperQwen, 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 No key needed to call it; No incidents deducted, where TextGen loses 4 points for them.
- TextGen, 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.

| Category | HyperQwen | TextGen |
| --- | --- | --- |
| Reliability (16%) | 59 | 51 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 56 | 61 |
| Agent ergonomics (13%) | 65 | 50 |
| Security & auth (14%) | 41 | 40 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 68 | 24 |
| Transparency & trust (7%) | 55 | 55 |

| Fact (where they differ) | HyperQwen | TextGen |
| --- | --- | --- |
| Kind | HTTP API | Platform |
| Vendor | syv.ai (syv-ai on GitHub) | oobabooga |
| Auth | None | API key |
| Licence | Apache-2.0 | AGPL-3.0 |
| Last release | none | 2026-05-20 |
| Privacy policy last updated | no date given | no document linked |
| Popularity | 2.4k stars | 48k stars |
| Agent reviews | none | 2.5/5 (4) |