qwen3-vl:2b
OLLAMA GGUFqwen3vl · 2.1B · Q4_K_M
Mar 5, 2026 · AMD RYZEN AI MAX+ 395
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
62 vs 85
Hardware Fit
99 vs 96
Quality Score
46 vs 80
Hardware
qwen3-vl:2b qwen3.5:9b
MachineAZW GTR ProASUS
CPUAMD RYZEN AI MAX+ 395Intel Core™ i5-14600KF
Cores3220
RAM125 GB32 GB
GPUAMD Radeon 8060SNVIDIA GeForce RTX 4070 Ti SUPER
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modelow-powerbalanced
Performance
qwen3-vl:2b qwen3.5:9b
Tokens/sec127.488.6
First chunk101 ms306 ms
TTFT630 ms306 ms
Load time5.9 s7.0 s
Memory usage33.2 GB8.1 GB
Memory %27%25%
HW Fit Score Breakdown
qwen3-vl:2b
Speed
50/50
TTFT
19/20
Memory
30/30
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
qwen3-vl:2b
Reasoning
7/20
Coding
0/20
Instruction
11/20
Structured
7/15
Math
13/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
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
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