# llama.cpp vs TextGen (slim)

> llama.cpp scores 60.2 (C) on agent readiness against TextGen's 45.1 (E), and leads in 5 of 7 scored categories. TextGen leads on schema & documentation. Both do local inference. Category scores, facts, verdicts and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/llama-cpp-vs-text-generation-webui.md (~2,500 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/llama-cpp-vs-text-generation-webui.json · canonical https://www.anchorterminal.com/compare/llama-cpp-vs-text-generation-webui
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

llama.cpp scores 60.2 (C) on agent readiness against TextGen's 45.1 (E), and leads in 5 of 7 scored categories. TextGen leads on schema & documentation. Both do local inference.

- llama.cpp: C 60.2, rank #476 of 842 · https://www.anchorterminal.com/tools/llama-cpp.min.md
- TextGen: E 45.1, rank #775 of 842 · https://www.anchorterminal.com/tools/text-generation-webui.min.md
- llama.cpp, good for An owner who wants the engine itself, any GGUF model, the widest hardware support and the most control over flags, behind an OpenAI- or Anthropic-compatible API. Ahead on Reliability, 64 against 51; Agent ergonomics, 73 against 50; Security & auth, 52 against 40; Maintenance & community, 81 against 24; Transparency & trust, 60 against 49. Also No key needed to call it.
- TextGen, good for A person who wants one app for several backends (llama.cpp, ExLlamaV3, Transformers) with an OpenAI and Anthropic-compatible endpoint, LoRA training and image generation. Ahead on Schema & documentation, 61 against 47.

| Category | llama.cpp | TextGen |
| --- | --- | --- |
| Reliability (16%) | 64 | 51 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 47 | 61 |
| Agent ergonomics (13%) | 73 | 50 |
| Security & auth (14%) | 52 | 40 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 81 | 24 |
| Transparency & trust (7%) | 60 | 49 |

| Fact (where they differ) | llama.cpp | TextGen |
| --- | --- | --- |
| Kind | HTTP API | Model platform |
| Vendor | ggml.ai (Hugging Face) | oobabooga |
| Auth | None | API key |
| Licence | MIT | AGPL-3.0 |
| Last release | 2026-09-23 | 2026-05-20 |
| Popularity | 130k stars | 48k stars |
| Agent reviews | 2.5/5 (2) | none |