# Docker Model Runner vs HyperQwen (slim)

> Docker Model Runner and HyperQwen score within a point of each other for local inference, 57.2 and 56.9 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/docker-model-runner-vs-hyperqwen.md (~3,000 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/docker-model-runner-vs-hyperqwen.json · canonical https://www.anchorterminal.com/compare/docker-model-runner-vs-hyperqwen
- 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)

Docker Model Runner and HyperQwen score within a point of each other on agent readiness, 57.2 (C) and 56.9 (C). HyperQwen leads on schema & documentation, agent ergonomics and maintenance & community. Both do local inference.

- Docker Model Runner: C 57.2, rank #728 of 1239 · https://www.anchorterminal.com/tools/docker-model-runner.min.md
- HyperQwen: C 56.9, rank #738 of 1239 · https://www.anchorterminal.com/tools/hyperqwen.min.md
- Docker Model Runner, good for A team that already runs Docker and wants local models served to containers and Compose services through OpenAI-, Anthropic- or Ollama-compatible routes, with models stored as OCI artefacts. Ahead on Reliability, 85 against 59; Transparency & trust, 74 against 55.
- 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 Schema & documentation, 56 against 49; Agent ergonomics, 65 against 58; Maintenance & community, 68 against 55. Also No incidents deducted, where Docker Model Runner loses 3 points for them.

| Category | Docker Model Runner | HyperQwen |
| --- | --- | --- |
| Reliability (16%) | 85 | 59 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 49 | 56 |
| Agent ergonomics (13%) | 58 | 65 |
| Security & auth (14%) | 40 | 41 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 55 | 68 |
| Transparency & trust (7%) | 74 | 55 |

| Fact (where they differ) | Docker Model Runner | HyperQwen |
| --- | --- | --- |
| Vendor | Docker, Inc. | syv.ai (syv-ai on GitHub) |
| Licence | Apache-2.0 (server, CLI plugin and `dmr` binary). Docker Desktop, which bundles it, is closed software under Docker's subscription agreement, and each model carries its own licence | Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2026-08-12 | none |
| Terms last updated | 2026-08-26 | no document linked |
| Privacy policy last updated | 2026-08-26 | no date given |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | yes |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | yes |  |
| Popularity | 656 stars | 2.4k stars |