lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
qwen3.5:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
80 vs 77
Hardware Fit
95 vs 53
Quality Score
73 vs 87
Hardware
lfm2.5:8b qwen3.5:35b
MachineMacBook ProASUS
CPUApple M1 ProIntel Core™ i5-14600KF
Cores1020
RAM16 GB32 GB
GPUApple M1 ProNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.6.2Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
lfm2.5:8b qwen3.5:35b
Tokens/sec98.516.0
First chunk167 ms719 ms
TTFT2.5 s719 ms
Load time3.0 s17.8 s
Memory usage6.0 GB25.0 GB
Memory %37%79%
HW Fit Score Breakdown
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
qwen3.5:35b
Speed
23/50
TTFT
20/20
Memory
10/30
Quality
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
qwen3.5:35b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong 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