qwen3.6:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
May 25, 2026 · Apple M4 Pro
lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
70 vs 80
Hardware Fit
66 vs 95
Quality Score
71 vs 73
Hardware
qwen3.6:35b lfm2.5:8b
MachineMacBook ProMacBook Pro
CPUApple M4 ProApple M1 Pro
Cores1410
RAM48 GB16 GB
GPUApple M4 ProApple M1 Pro
OSmacOS 26.4.1macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.6:35b lfm2.5:8b
Tokens/sec30.698.5
First chunk304 ms167 ms
TTFT30.0 s2.5 s
Load time10.0 s3.0 s
Memory usage28.1 GB6.0 GB
Memory %59%37%
HW Fit Score Breakdown
qwen3.6:35b
Speed
45/50
TTFT
0/20
Memory
21/30
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
Quality
qwen3.6:35b
Reasoning
18/20
Coding
12/20
Instruction
12/20
Structured
6/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
lfm2.5:8b
Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong 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