qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
qwen2.5:14b
OLLAMA GGUFqwen2 · 14.8B · Q4_K_M
Mar 1, 2026 · Apple M4
Global Score
85 vs 83
Hardware Fit
96 vs 80
Quality Score
80 vs 84
Hardware
qwen3.5:9b qwen2.5:14b
MachineASUSMacBook Air
CPUIntel Core™ i5-14600KFApple M4
Cores2010
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b qwen2.5:14b
Tokens/sec88.611.2
First chunk306 msN/A
TTFT306 ms539 ms
Load time7.0 s1.0 s
Memory usage8.1 GB16.5 GB
Memory %25%52%
HW Fit Score Breakdown
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
26/30
qwen2.5:14b
Speed
20/50
TTFT
30/20
Memory
30/30
Quality
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
qwen2.5:14b
Reasoning
17/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Strong 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