qwen3.8-27b-mlx
LM-STUDIO UNKNOWN27B
Aug 17, 2026 · Apple M5 Max
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
66 vs 60
Hardware Fit
91 vs 80
Quality Score
55 vs 52
Hardware
qwen3.8-27b-mlx lfm2.5-thinking:1.2b
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M4 Pro
Cores1814
RAM64 GB48 GB
GPUApple M5 MaxApple M4 Pro
OSmacOS 27.0macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.8-27b-mlx lfm2.5-thinking:1.2b
Tokens/sec33.2227.0
First chunk7 ms60 ms
TTFT311 ms30.0 s
Load timeN/A0.7 s
Memory usage0.5 GB2.6 GB
Memory %1%6%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
41/50
TTFT
20/20
Memory
30/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
qwen3.8-27b-mlx
Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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