qwen3-vl:4b-instruct
OLLAMA GGUFqwen3vl · 4.4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
83 vs 81
Hardware Fit
96 vs 95
Quality Score
78 vs 75
Hardware
qwen3-vl:4b-instruct qwen3:8b
MachineMac StudioASUS
CPUApple M2 MaxIntel Core™ i5-14600KF
Cores1220
RAM96 GB32 GB
GPUApple M2 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.1Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3-vl:4b-instruct qwen3:8b
Tokens/sec91.2108.3
First chunk150 ms169 ms
TTFT150 ms169 ms
Load time5.3 s1.7 s
Memory usage42.5 GB5.6 GB
Memory %44%18%
HW Fit Score Breakdown
qwen3-vl:4b-instruct
Speed
50/50
TTFT
20/20
Memory
26/30
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
25/30
Quality
qwen3-vl:4b-instruct
Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3:8b
Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong 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