qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 18, 2026 · Apple M4 Max
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
87 vs 78
Hardware Fit
83 vs 100
Quality Score
88 vs 68
Hardware
qwen/qwen3.8-27b lfm2-24b-a2b
MachineMacBook ProMac mini
CPUApple M4 MaxApple M4 Pro
Cores1614
RAM128 GB64 GB
GPUApple M4 MaxApple M4 Pro
OSmacOS 26.5.2macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3.8-27b lfm2-24b-a2b
Tokens/sec29.1105.9
First chunk9 ms252 ms
TTFT650 ms252 ms
Load timeN/AN/A
Memory usage21.0 GB0.1 GB
Memory %16%0%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
33/50
TTFT
20/20
Memory
30/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen/qwen3.8-27b
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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
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