qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

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

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score

80 vs 59

Hardware Fit

98 vs 84

Quality Score

72 vs 48

Hardware

qwen3-vl:30b vicuna:13b

MachineASUSMacBook Air

CPUIntel Core™ Ultra 9 285KApple M4

Cores2410

RAM47 GB32 GB

GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M4

OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3-vl:30b vicuna:13b

Tokens/sec208.913.4

First chunk102 msN/A

TTFT684 ms438 ms

Load time0.1 s0.6 s

Memory usage22.0 GB10.3 GB

Memory %47%32%

HW Fit Score Breakdown

qwen3-vl:30b

Speed

50/50

TTFT

20/20

Memory

28/30

vicuna:13b

Speed

24/50

TTFT

30/20

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

vicuna:13b

Reasoning

7/20

Coding

5/20

Instruction

12/20

Structured

13/15

Math

3/15

Multilingual

8/10

Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

View qwen3-vl:30b details | View vicuna:13b 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