qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
qwen3.5:latest
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 8, 2026 · Apple M4
Global Score
87 vs 34
Hardware Fit
100 vs 58
Quality Score
81 vs 23
Hardware
qwen3-vl-4b-instruct qwen3.5:latest
MachineMac StudioMac mini
CPUApple M2 MaxApple M4
Cores1210
RAM96 GB16 GB
GPUApple M2 MaxApple M4
OSmacOS 26.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3-vl-4b-instruct qwen3.5:latest
Tokens/sec72.013.3
First chunk7 ms438 ms
TTFT176 ms19.8 s
Load time6.7 s0.2 s
Memory usage0.0 GB8.0 GB
Memory %0%50%
HW Fit Score Breakdown
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:latest
Speed
32/50
TTFT
1/20
Memory
25/30
Quality
qwen3-vl-4b-instruct
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3.5:latest
Reasoning
6/20
Coding
1/20
Instruction
3/20
Structured
0/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Weak 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