# HyperQwen vs Underdog (slim)

> HyperQwen scores 56.9 (C) to Underdog's 30.1 (F) for open-weight models. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/hyperqwen-vs-underdog.md (~2,900 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/hyperqwen-vs-underdog.json · canonical https://www.anchorterminal.com/compare/hyperqwen-vs-underdog
- 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
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HyperQwen scores 56.9 (C) on agent readiness against Underdog's 30.1 (F), and leads in 6 of 7 scored categories. Both do open-weight models.

- HyperQwen: C 56.9, rank #738 of 1239 · https://www.anchorterminal.com/tools/hyperqwen.min.md
- Underdog: F 30.1, rank #1163 of 1239 · https://www.anchorterminal.com/tools/underdog.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 33; Schema & documentation, 56 against 24; Agent ergonomics, 65 against 15; Security & auth, 41 against 14; Maintenance & community, 68 against 56; Transparency & trust, 55 against 26. Also Free to start without a card; Open source.
- Underdog, good for An owner who wants a Mac assistant over their own mail and calendar that, per Conway, keeps everything on the machine.

| Category | HyperQwen | Underdog |
| --- | --- | --- |
| Reliability (16%) | 59 | 33 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 56 | 24 |
| Agent ergonomics (13%) | 65 | 15 |
| Security & auth (14%) | 41 | 14 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 68 | 56 |
| Transparency & trust (7%) | 55 | 26 |

| Fact (where they differ) | HyperQwen | Underdog |
| --- | --- | --- |
| Kind | HTTP API | Platform |
| Vendor | syv.ai (syv-ai on GitHub) | Conway Research |
| Transports | HTTP |  |
| Licence | Apache-2.0 | Model weights Apache-2.0 on Hugging Face (Underdog 27B 1.0 and its ternary build, Woof 4B and 2B 1.1, Bark 0.8B 1.0); woof-1.0-4B carries the Apache-2.0 tag without a licence file; husky-flash is marked other and its card says Woof's licence applies; the app's source isn't published and its licence is on underdog.ai, unchecked |
| Last release | none | 2026-09-30 |
| Terms last updated | no document linked | 2026-09-01 |
| Privacy policy last updated | no date given | 2026-09-30 |
| Customer content may train models |  | not found in the text |
| 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 |  | not found in the text |
| Popularity | 2.4k stars | none |
| Agent reviews | none | 2/5 (2) |
