qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Apr 29, 2026 · Intel Core™ i5-8350U
qwen3:14b
OLLAMA GGUFqwen3 · 14.8B · Q4_K_M
Mar 11, 2026 · Apple M4
Global Score
18 vs 83
Hardware Fit
53 vs 73
Quality Score
3 vs 87
Hardware
qwen3.5:0.8b qwen3:14b
MachineLENOVO 20L7CTO1WWMac mini
CPUIntel Core™ i5-8350UApple M4
Cores810
RAM23 GB24 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4
OSFedora Linux 43macOS 26.3
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3.5:0.8b qwen3:14b
Tokens/sec9.411.1
First chunk799 ms500 ms
TTFT30.0 s500 ms
Load time3.3 s7.3 s
Memory usage1.9 GB9.4 GB
Memory %8%39%
HW Fit Score Breakdown
qwen3.5:0.8b
Speed
23/50
TTFT
0/20
Memory
30/30
qwen3:14b
Speed
25/50
TTFT
20/20
Memory
28/30
Quality
qwen3.5:0.8b
Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
qwen3:14b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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