# HyperQwen vs LM Studio (slim)

> LM Studio scores 58.1 (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-lm-studio.md (~2,750 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/hyperqwen-vs-lm-studio.json · canonical https://www.anchorterminal.com/compare/hyperqwen-vs-lm-studio
- 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)

LM Studio scores 58.1 (C) on agent readiness against HyperQwen's 56.9 (C), and leads in 5 of 7 scored categories. HyperQwen leads on reliability. Both do local inference.

- HyperQwen: C 56.9, rank #738 of 1239 · https://www.anchorterminal.com/tools/hyperqwen.min.md
- LM Studio: C 58.1, rank #690 of 1239 · https://www.anchorterminal.com/tools/lm-studio.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 34. Also No key needed to call it; Open source.
- LM Studio, good for A machine that serves open models to several agents and tools at once, in whichever API shape each client already speaks, and for headless serving on Linux with llmster. Ahead on Schema & documentation, 64 against 56; Security & auth, 59 against 41; Transparency & trust, 63 against 55.

| Category | HyperQwen | LM Studio |
| --- | --- | --- |
| Reliability (16%) | 59 | 34 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 56 | 64 |
| Agent ergonomics (13%) | 65 | 69 |
| Security & auth (14%) | 41 | 59 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 68 | 72 |
| Transparency & trust (7%) | 55 | 63 |

| Fact (where they differ) | HyperQwen | LM Studio |
| --- | --- | --- |
| Vendor | syv.ai (syv-ai on GitHub) | Element Labs, Inc. |
| Auth | None | API key |
| Licence | Apache-2.0 | Proprietary. The app and llmster are free for personal and internal business use under LM Studio's terms (Element Labs, Inc., effective 23 August 2026), with no source published. The `lms` CLI and the TypeScript and Python SDKs are MIT |
| llms.txt | no | yes |
| Last release | none | 2026-09-19 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | no date given | 2026-06-01 |
| 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 | 69k npm/wk, 15k PyPI/wk |
| Agent reviews | none | 2.5/5 (2) |