qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Mar 5, 2026 · Apple M1 Max
qwen3-vl:30b
OLLAMA GGUFqwen3vlmoe · 31.1B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
62 vs 80
Hardware Fit
100 vs 98
Quality Score
46 vs 72
Hardware
qwen3.5:0.8b qwen3-vl:30b
MachineMacBook ProASUS
CPUApple M1 MaxIntel Core™ Ultra 9 285K
Cores1024
RAM32 GB47 GB
GPUApple M1 MaxNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5:0.8b qwen3-vl:30b
Tokens/sec67.6208.9
First chunk209 ms102 ms
TTFT209 ms684 ms
Load time1.9 s0.1 s
Memory usage2.6 GB22.0 GB
Memory %8%47%
HW Fit Score Breakdown
qwen3.5:0.8b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-vl:30b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
qwen3.5:0.8b
Reasoning
9/20
Coding
4/20
Instruction
11/20
Structured
13/15
Math
3/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
qwen3-vl:30b
Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak 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