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qwen3.5:9b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 26, 2026 · Apple M1 Pro

liquid/lfm2-24b-a2b

LM-STUDIO MLX

lfm2_moe · 24B · 4bit

Good

Mar 19, 2026 · Apple M4

Global Score
54 vs 74
Hardware Fit
81 vs 84
Quality Score
43 vs 69

Hardware

qwen3.5:9b-mlx liquid/lfm2-24b-a2b
MachineMacBook ProMac mini
CPUApple M1 ProApple M4
Cores1010
RAM16 GB24 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b-mlx liquid/lfm2-24b-a2b
Tokens/sec25.258.9
First chunk341 ms28 ms
TTFT6.3 s481 ms
Load time3.4 sN/A
Memory usage8.4 GB17.5 GB
Memory %52%73%

HW Fit Score Breakdown

qwen3.5:9b-mlx

Speed
50/50
TTFT
7/20
Memory
24/30

liquid/lfm2-24b-a2b

Speed
50/50
TTFT
20/20
Memory
14/30

Quality

qwen3.5:9b-mlx

Reasoning
14/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
9/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate Multilingual: Strong

liquid/lfm2-24b-a2b

Reasoning
11/20
Coding
12/20
Instruction
16/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5:9b-mlx details | View liquid/lfm2-24b-a2b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest