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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen/qwen3-vl-30b

LM-STUDIO GGUF

qwen3vlmoe · 30B · Q4_K_M

Excellent

Apr 24, 2026 · AMD Ryzen 5 5500

Global Score
85 vs 92
Hardware Fit
96 vs 95
Quality Score
80 vs 90

Hardware

qwen3.5:9b qwen/qwen3-vl-30b
MachineASUSASUS
CPUIntel Core™ i5-14600KFAMD Ryzen 5 5500
Cores2012
RAM32 GB31 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERNavi 44 [Radeon RX 9060 XT]
OSMicrosoft Windows 11 Famille 10.0.26200Nobara Linux 43
Archx64x64
Power Modebalancedperformance

Performance

qwen3.5:9b qwen/qwen3-vl-30b
Tokens/sec88.624.8
First chunk306 ms11 ms
TTFT306 ms735 ms
Load time7.0 s11.7 s
Memory usage8.1 GB0.6 GB
Memory %25%2%

HW Fit Score Breakdown

qwen3.5:9b

Speed
50/50
TTFT
20/20
Memory
26/30

qwen/qwen3-vl-30b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

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

qwen/qwen3-vl-30b

Reasoning
19/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5:9b details | View qwen/qwen3-vl-30b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest