# HyperQwen vs KoboldCpp (slim)

> KoboldCpp scores 61 (C) to HyperQwen's 56.9 (C) for local inference. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/hyperqwen-vs-koboldcpp.md (~2,700 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/hyperqwen-vs-koboldcpp.json · canonical https://www.anchorterminal.com/compare/hyperqwen-vs-koboldcpp
- 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)

KoboldCpp scores 61 (C) on agent readiness against HyperQwen's 56.9 (C), and leads in 3 of 7 scored categories. Both do local inference.

- HyperQwen: C 56.9, rank #738 of 1239 · https://www.anchorterminal.com/tools/hyperqwen.min.md
- KoboldCpp: C 61, rank #570 of 1239 · https://www.anchorterminal.com/tools/koboldcpp.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.
- KoboldCpp, good for An owner who wants text, image, speech and music models behind one executable with a writing and roleplay interface, and clients that speak the KoboldAI, OpenAI, Ollama or Anthropic formats. Ahead on Reliability, 68 against 59; Schema & documentation, 68 against 56; Maintenance & community, 82 against 68.

| Category | HyperQwen | KoboldCpp |
| --- | --- | --- |
| Reliability (16%) | 59 | 68 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 56 | 68 |
| Agent ergonomics (13%) | 65 | 63 |
| Security & auth (14%) | 41 | 38 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 68 | 82 |
| Transparency & trust (7%) | 55 | 55 |

| Fact (where they differ) | HyperQwen | KoboldCpp |
| --- | --- | --- |
| Vendor | syv.ai (syv-ai on GitHub) | LostRuins (Concedo) |
| Licence | Apache-2.0 | AGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MIT |
| llms.txt | no | yes |
| Last release | none | 2026-09-27 |
| Privacy policy last updated | no date given | no document linked |
| Popularity | 2.4k stars | 12k stars |
| Agent reviews | none | 2.8/5 (4) |