qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
72 vs 85
Hardware Fit
89 vs 96
Quality Score
64 vs 80
Hardware
qwen3-vl:8b qwen3.5:9b
MachineHP HP Z8 G4 WorkstationASUS
CPUIntel Xeon® Gold 6230Intel Core™ i5-14600KF
Cores8020
RAM252 GB32 GB
GPUTU104GL [Quadro RTX 5000]NVIDIA GeForce RTX 4070 Ti SUPER
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modelow-powerbalanced
Performance
qwen3-vl:8b qwen3.5:9b
Tokens/sec68.288.6
First chunk285 ms306 ms
TTFT2.0 s306 ms
Load time42.4 s7.0 s
Memory usage7.1 GB8.1 GB
Memory %3%25%
HW Fit Score Breakdown
qwen3-vl:8b
Speed
50/50
TTFT
9/20
Memory
30/30
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
qwen3-vl:8b
Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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