lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
Global Score
80 vs 85
Hardware Fit
95 vs 95
Quality Score
73 vs 80
Hardware
lfm2.5:8b qwen3.5:9b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Max
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M1 Max
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5:8b qwen3.5:9b
Tokens/sec98.523.1
First chunk167 ms358 ms
TTFT2.5 s358 ms
Load time3.0 s3.6 s
Memory usage6.0 GB9.1 GB
Memory %37%28%
HW Fit Score Breakdown
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
qwen3.5:9b
Speed
45/50
TTFT
20/20
Memory
30/30
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
qwen3.5:9b
Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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