Back to leaderboard

qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
83 vs 40
Hardware Fit
96 vs 89
Quality Score
78 vs 19

Hardware

qwen3-vl:4b-instruct qwen3-0.6b
MachineMac StudioLENOVO 20BUS00700
CPUApple M2 MaxIntel Core™ i5-5300U
Cores124
RAM96 GB16 GB
GPUApple M2 MaxIntel(R) HD Graphics 5500
OSmacOS 26.1Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3-vl:4b-instruct qwen3-0.6b
Tokens/sec90.614.4
First chunk159 ms854 ms
TTFT159 ms854 ms
Load time5.8 sN/A
Memory usage42.5 GB0.5 GB
Memory %44%3%

HW Fit Score Breakdown

qwen3-vl:4b-instruct

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

qwen3-0.6b

Speed
43/50
TTFT
20/20
Memory
26/30

Quality

qwen3-vl:4b-instruct

Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3-0.6b

Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate
View qwen3-vl:4b-instruct details | View qwen3-0.6b 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