llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 2, 2026 · Apple M4
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · AMD Ryzen 5 5500
Global Score
75 vs 71
Hardware Fit
93 vs 56
Quality Score
67 vs 78
Hardware
llama3.1:8b qwen3.5:9b
MachineMacBook AirSystem manufacturer
CPUApple M4AMD Ryzen 5 5500
Cores1012
RAM32 GB16 GB
GPUApple M4NVIDIA GeForce RTX 3060
OSmacOS 26.3Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archarm64x64
Power Modebalancedbalanced
Performance
llama3.1:8b qwen3.5:9b
Tokens/sec20.35.3
First chunkN/A1624 ms
TTFT315 ms1.6 s
Load time1.1 s4.0 s
Memory usage10.4 GB7.9 GB
Memory %33%50%
HW Fit Score Breakdown
llama3.1:8b
Speed
33/50
TTFT
30/20
Memory
30/30
qwen3.5:9b
Speed
11/50
TTFT
20/20
Memory
25/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
15/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
qwen3.5:9b
Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate 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