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qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

muse-glimmer

OLLAMA GGUF
Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
87 vs 74
Hardware Fit
100 vs 41
Quality Score
81 vs 88

Hardware

qwen3-vl-4b-instruct muse-glimmer
MachineMac StudioAZW GTR Pro
CPUApple M2 MaxAMD RYZEN AI MAX+ 395
Cores1232
RAM96 GB125 GB
GPUApple M2 MaxRadeon 8060S
OSmacOS 26.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3-vl-4b-instruct muse-glimmer
Tokens/sec71.212.1
First chunk10 ms8749 ms
TTFT183 ms8.7 s
Load time6.0 s0.3 s
Memory usage0.3 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

qwen3-vl-4b-instruct

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

muse-glimmer

Speed
10/50
TTFT
1/20
Memory
30/30

Quality

qwen3-vl-4b-instruct

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

muse-glimmer

Reasoning
18/20
Coding
18/20
Instruction
13/20
Structured
14/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3-vl-4b-instruct details | View muse-glimmer 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