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qwen3-vl-4b-instruct-q4_k_m

OPENAI GGUF
Good

Apr 22, 2026 · Apple M2 Max

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

Global Score
62 vs 65
Hardware Fit
100 vs 94
Quality Score
46 vs 52

Hardware

qwen3-vl-4b-instru… hf.co/bartowski/ai…
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M1 Pro
Cores1210
RAM96 GB16 GB
GPUApple M2 MaxApple M1 Pro
OSmacOS 26.1macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3-vl-4b-instru… hf.co/bartowski/ai…
Tokens/sec67.229.6
First chunk66 ms264 ms
TTFT68 ms264 ms
Load time0.0 s3.8 s
Memory usage0.2 GB8.4 GB
Memory %0%53%

HW Fit Score Breakdown

qwen3-vl-4b-instruct-q4…

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

hf.co/bartowski/ai9star…

Speed
50/50
TTFT
20/20
Memory
24/30

Quality

qwen3-vl-4b-instruct-q4…

Reasoning
16/20
Coding
0/20
Instruction
12/20
Structured
1/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Poor Math: Adequate Multilingual: Strong

hf.co/bartowski/ai9star…

Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong 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