lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
Global Score
78 vs 60
Hardware Fit
100 vs 96
Quality Score
68 vs 44
Hardware
lfm2-24b-a2b qwen3.5-0.8b-mlx
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b qwen3.5-0.8b-mlx
Tokens/sec105.9108.0
First chunk252 ms2568 ms
TTFT252 ms2.6 s
Load timeN/AN/A
Memory usage0.1 GB1.0 GB
Memory %0%3%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
16/20
Memory
30/30
Quality
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3.5-0.8b-mlx
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong 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