qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 19, 2026 · Apple M4 Max
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
80 vs 60
Hardware Fit
52 vs 80
Quality Score
92 vs 52
Hardware
qwen/qwen3.8-27b lfm2.5-thinking:1.2b
MachineMacBook ProMacBook Pro
CPUApple M4 MaxApple M4 Pro
Cores1614
RAM128 GB48 GB
GPUApple M4 MaxApple M4 Pro
OSmacOS 26.5.2macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3.8-27b lfm2.5-thinking:1.2b
Tokens/sec16.1227.0
First chunk14 ms60 ms
TTFT5.8 s30.0 s
Load time8.5 s0.7 s
Memory usage0.0 GB2.6 GB
Memory %0%6%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
17/50
TTFT
5/20
Memory
30/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
qwen/qwen3.8-27b
Reasoning
19/20
Coding
16/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
lfm2.5-thinking:1.2b
Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong 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