# MLX LM vs TextGen (slim)

> MLX LM scores 52.2 (D) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. TextGen leads on schema & documentation and security & auth. Both do local inference. Category scores, facts, verdicts and agent notes side by side.

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

MLX LM scores 52.2 (D) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. TextGen leads on schema & documentation and security & auth. Both do local inference.

- MLX LM: D 52.2, rank #657 of 842 · https://www.anchorterminal.com/tools/mlx-lm.min.md
- TextGen: E 45.1, rank #775 of 842 · https://www.anchorterminal.com/tools/text-generation-webui.min.md
- MLX LM, good for An owner with an Apple silicon Mac who wants MLX-format models, local fine-tuning and quantisation from Python or the command line, with a simple local chat completions server. Ahead on Reliability, 66 against 51; Maintenance & community, 61 against 24; Transparency & trust, 66 against 49. Also No key needed to call it; No incidents deducted, where TextGen loses 4 points for them.
- 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 37; Security & auth, 40 against 32.

| Category | MLX LM | TextGen |
| --- | --- | --- |
| Reliability (16%) | 66 | 51 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 37 | 61 |
| Agent ergonomics (13%) | 54 | 50 |
| Security & auth (14%) | 32 | 40 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 61 | 24 |
| Transparency & trust (7%) | 66 | 49 |

| Fact (where they differ) | MLX LM | TextGen |
| --- | --- | --- |
| Kind | HTTP API | Model platform |
| Vendor | Apple Inc. | oobabooga |
| Auth | None | API key |
| Licence | MIT | AGPL-3.0 |
| Last release | 2026-10-01 | 2026-05-20 |
| Popularity | 7.3k stars, 140k PyPI/wk | 48k stars |