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qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

microllm-50m:latest

OLLAMA GGUF

llama · 49.31M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

Global Score
87 vs 28
Hardware Fit
100 vs 80
Quality Score
81 vs 5

Hardware

qwen3-vl-4b-instruct microllm-50m:latest
MachineMac StudioMac mini
CPUApple M2 MaxApple M4 Pro
Cores1212
RAM96 GB24 GB
GPUApple M2 MaxApple M4 Pro
OSmacOS 26.1macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3-vl-4b-instruct microllm-50m:latest
Tokens/sec71.21000000.0
First chunk10 ms50 ms
TTFT183 ms30.0 s
Load time6.0 s0.3 s
Memory usage0.3 GB0.1 GB
Memory %0%1%

HW Fit Score Breakdown

qwen3-vl-4b-instruct

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

microllm-50m:latest

Speed
50/50
TTFT
0/20
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

microllm-50m:latest

Reasoning
0/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

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