qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · AMD Ryzen 5 5500
phi:2.7b
OLLAMA GGUFphi2 · 3B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
71 vs 59
Hardware Fit
56 vs 100
Quality Score
78 vs 41
Hardware
qwen3.5:9b phi:2.7b
MachineSystem manufacturerMacBook Air
CPUAMD Ryzen 5 5500Apple M4
Cores1210
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060Apple M4
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b phi:2.7b
Tokens/sec5.356.6
First chunk1624 msN/A
TTFT1.6 s110 ms
Load time4.0 s0.4 s
Memory usage7.9 GB2.2 GB
Memory %50%7%
HW Fit Score Breakdown
qwen3.5:9b
Speed
11/50
TTFT
20/20
Memory
25/30
phi:2.7b
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
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
phi:2.7b
Reasoning
7/20
Coding
4/20
Instruction
9/20
Structured
11/15
Math
8/15
Multilingual
2/10
Reasoning: Weak Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Poor
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