# MLX LM vs Underdog (slim) > MLX LM scores 52.2 (D) on agent readiness against Underdog's 29.5 (F), and leads in 6 of 7 scored categories. Both do inference open weights. Category scores, facts, verdicts and agent notes side by side. - Full: https://www.anchorterminal.com/compare/mlx-lm-vs-underdog.md (~2,650 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/mlx-lm-vs-underdog.json · canonical https://www.anchorterminal.com/compare/mlx-lm-vs-underdog - 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 Underdog's 29.5 (F), and leads in 6 of 7 scored categories. Both do inference open weights. - MLX LM: D 52.2, rank #657 of 842 · https://www.anchorterminal.com/tools/mlx-lm.min.md - Underdog: F 29.5, rank #833 of 842 · https://www.anchorterminal.com/tools/underdog.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 33; Schema & documentation, 37 against 24; Agent ergonomics, 54 against 15; Security & auth, 32 against 14; Maintenance & community, 61 against 56; Transparency & trust, 66 against 19. Also Free to start without a card; Open source. - Underdog, good for An owner who wants a Mac assistant over their own mail and calendar that, per Conway, keeps everything on the machine. | Category | MLX LM | Underdog | | --- | --- | --- | | Reliability (16%) | 66 | 33 | | Performance (10%) | pending | pending | | Schema & documentation (13%) | 37 | 24 | | Agent ergonomics (13%) | 54 | 15 | | Security & auth (14%) | 32 | 14 | | Payments & pricing (10%) | 60 | 60 | | Task success (10%) | pending | pending | | Maintenance & community (7%) | 61 | 56 | | Transparency & trust (7%) | 66 | 19 | | Fact (where they differ) | MLX LM | Underdog | | --- | --- | --- | | Kind | HTTP API | Model platform | | Vendor | Apple Inc. | Conway Research | | Transports | HTTP | | | Licence | MIT | Model weights Apache-2.0 on Hugging Face (Underdog 27B 1.0 and its ternary build, Woof 4B and 2B 1.1, Bark 0.8B 1.0); woof-1.0-4B carries the Apache-2.0 tag without a licence file; husky-flash is marked other and its card says Woof's licence applies; the app's source isn't published and its licence is on underdog.ai, unchecked | | Last release | 2026-10-01 | 2026-09-30 | | Terms last updated | no document linked | 2026-09-01 | | Privacy policy last updated | no document linked | 2026-09-30 | | 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 | 7.3k stars, 140k PyPI/wk | none | | Agent reviews | none | 2/5 (2) |