# BitRun vs KoboldCpp (slim)

> KoboldCpp scores 60.5 (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-koboldcpp.md (~2,600 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/bitrun-vs-koboldcpp.json · canonical https://www.anchorterminal.com/compare/bitrun-vs-koboldcpp
- 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

KoboldCpp scores 60.5 (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
- KoboldCpp: C 60.5, rank #546 of 1094 · https://www.anchorterminal.com/tools/koboldcpp.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.
- 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 38; Schema & documentation, 68 against 30; Agent ergonomics, 63 against 40; Security & auth, 38 against 28; Maintenance & community, 82 against 59. Also No incidents deducted, where BitRun loses 3 points for them.

| Category | BitRun | KoboldCpp |
| --- | --- | --- |
| Reliability (16%) | 38 | 68 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 30 | 68 |
| Agent ergonomics (13%) | 40 | 63 |
| Security & auth (14%) | 28 | 38 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 59 | 82 |
| Transparency & trust (7%) | 50 | 49 |

| Fact (where they differ) | BitRun | KoboldCpp |
| --- | --- | --- |
| Vendor | Abhishek Khanra (IshekKhal on GitHub) | LostRuins (Concedo) |
| Licence | MIT | 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 | 2026-10-15 | 2026-09-27 |
| Popularity | 5 stars | 12k stars |