liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Mar 19, 2026 · Apple M4
qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
74 vs 53
Hardware Fit
84 vs 89
Quality Score
69 vs 38
Hardware
liquid/lfm2-24b-a2b qwen3.5-0.8b-mlx
MachineMac miniMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM24 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
liquid/lfm2-24b-a2b qwen3.5-0.8b-mlx
Tokens/sec58.952.9
First chunk28 ms4013 ms
TTFT481 ms4.0 s
Load timeN/AN/A
Memory usage17.5 GB0.6 GB
Memory %73%1%
HW Fit Score Breakdown
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
Quality
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
qwen3.5-0.8b-mlx
Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest