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qwen3-vl-4b-instruct-q4_k_m.gguf

OPENAI GGUF
Good

Apr 21, 2026 · Apple M2 Max

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
62 vs 83
Hardware Fit
100 vs 96
Quality Score
46 vs 78

Hardware

qwen3-vl-4b-instru… google/gemma-4-e4b
MachineMac StudioASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUApple M2 MaxAMD Ryzen 9 8940HX
Cores1232
RAM96 GB15 GB
GPUApple M2 MaxNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSmacOS 26.1Microsoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3-vl-4b-instru… google/gemma-4-e4b
Tokens/sec67.835.9
First chunk62 ms9 ms
TTFT64 ms182 ms
Load time0.0 sN/A
Memory usage0.0 GB6.5 GB
Memory %0%43%

HW Fit Score Breakdown

qwen3-vl-4b-instruct-q4…

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

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

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

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

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