# BitRun vs Jan (slim)

> Jan scores 51.3 (D) to BitRun's 37.9 (F) for local inference. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/bitrun-vs-jan.md (~2,400 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/bitrun-vs-jan.json · canonical https://www.anchorterminal.com/compare/bitrun-vs-jan
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-15
- Licence: CC BY 4.0, credit Anchor Terminal (anchorterminal.com) and link this page when you pass anything on

Jan scores 51.3 (D) on agent readiness against BitRun's 37.9 (F), and leads in 5 of 7 scored categories. BitRun leads on maintenance & community. Both do local inference.

- BitRun: F 37.9, rank #1018 of 1094 · https://www.anchorterminal.com/tools/bitrun.min.md
- Jan: D 51.3, rank #812 of 1094 · https://www.anchorterminal.com/tools/jan.min.md
- BitRun, good for A developer who wants to try ternary models on a laptop CPU behind an OpenAI-style endpoint without building bitnet.cpp. Ahead on Maintenance & community, 59 against 47. Also No key needed to call it.
- Jan, good for A person who wants an open-source desktop app for local and cloud models with MCP, and an OpenAI-compatible endpoint for their own tools. Ahead on Reliability, 68 against 38; Schema & documentation, 56 against 30; Agent ergonomics, 46 against 40; Security & auth, 43 against 28; Transparency & trust, 68 against 50.

| Category | BitRun | Jan |
| --- | --- | --- |
| Reliability (16%) | 38 | 68 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 30 | 56 |
| Agent ergonomics (13%) | 40 | 46 |
| Security & auth (14%) | 28 | 43 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 59 | 47 |
| Transparency & trust (7%) | 50 | 68 |

| Fact (where they differ) | BitRun | Jan |
| --- | --- | --- |
| Kind | HTTP API | Platform |
| Vendor | Abhishek Khanra (IshekKhal on GitHub) | Menlo Research |
| Auth | None | API key |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-10-15 | 2026-07-23 |
| Privacy policy last updated | no document linked | 2025-01-16 |
| Popularity | 5 stars | 45k stars |
| Agent reviews | none | 2/5 (2) |