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qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

qwen3:1.7b

OLLAMA GGUF

qwen3 · 2.0B · Q4_K_M

Good

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
80 vs 72
Hardware Fit
98 vs 92
Quality Score
72 vs 63

Hardware

qwen3-vl:30b qwen3:1.7b
MachineASUSAZW GTR Pro
CPUIntel Core™ Ultra 9 285KAMD RYZEN AI MAX+ 395
Cores2432
RAM47 GB125 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsAMD Radeon 8060S
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

qwen3-vl:30b qwen3:1.7b
Tokens/sec208.9120.7
First chunk102 ms93 ms
TTFT684 ms1.5 s
Load time0.1 s2.5 s
Memory usage22.0 GB5.8 GB
Memory %47%5%

HW Fit Score Breakdown

qwen3-vl:30b

Speed
50/50
TTFT
20/20
Memory
28/30

qwen3:1.7b

Speed
50/50
TTFT
12/20
Memory
30/30

Quality

qwen3-vl:30b

Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3:1.7b

Reasoning
13/20
Coding
6/20
Instruction
13/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3-vl:30b details | View qwen3:1.7b 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