# BitRun vs LM Studio (slim)

> LM Studio scores 57.8 (C) 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-lm-studio.md (~2,650 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/bitrun-vs-lm-studio.json · canonical https://www.anchorterminal.com/compare/bitrun-vs-lm-studio
- 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

LM Studio scores 57.8 (C) on agent readiness against BitRun's 37.9 (F), and leads in 5 of 7 scored categories. Both do local inference.

- BitRun: F 37.9, rank #1018 of 1094 · https://www.anchorterminal.com/tools/bitrun.min.md
- LM Studio: C 57.8, rank #634 of 1094 · https://www.anchorterminal.com/tools/lm-studio.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. 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 30; Agent ergonomics, 69 against 40; Security & auth, 59 against 28; Maintenance & community, 72 against 59; Transparency & trust, 60 against 50. Also No incidents deducted, where BitRun loses 3 points for them.

| Category | BitRun | LM Studio |
| --- | --- | --- |
| Reliability (16%) | 38 | 34 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 30 | 64 |
| Agent ergonomics (13%) | 40 | 69 |
| Security & auth (14%) | 28 | 59 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 59 | 72 |
| Transparency & trust (7%) | 50 | 60 |

| Fact (where they differ) | BitRun | LM Studio |
| --- | --- | --- |
| Vendor | Abhishek Khanra (IshekKhal on GitHub) | Element Labs, Inc. |
| Auth | None | API key |
| Licence | MIT | 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 | 2026-10-15 | 2026-09-19 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | no document linked | 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 | 5 stars | 69k npm/wk, 15k PyPI/wk |
| Agent reviews | none | 2.5/5 (2) |