qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
qwen2.5:0.5b
OLLAMA GGUFqwen2 · 494.03M · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
84 vs 57
Hardware Fit
94 vs 100
Quality Score
80 vs 39
Hardware
qwen3.5:9b qwen2.5:0.5b
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 qwen2.5:0.5b
Tokens/sec86.3165.0
First chunk316 msN/A
TTFT316 ms81 ms
Load time0.3 s0.5 s
Memory usage8.1 GB1.7 GB
Memory %25%5%
HW Fit Score Breakdown
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
24/30
qwen2.5:0.5b
Speed
40/50
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
qwen2.5:0.5b
Reasoning
6/20
Coding
6/20
Instruction
7/20
Structured
11/15
Math
5/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Adequate Math: Weak Multilingual: Weak
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