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qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
83 vs 62
Hardware Fit
96 vs 77
Quality Score
78 vs 55

Hardware

qwen3-vl:4b-instruct google/gemma-4-e4b
MachineMac StudioLENOVO 82JQ
CPUApple M2 MaxAMD Ryzen 7 5800H
Cores1216
RAM96 GB16 GB
GPUApple M2 MaxNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.1Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3-vl:4b-instruct google/gemma-4-e4b
Tokens/sec91.227.6
First chunk150 ms23 ms
TTFT150 ms480 ms
Load time5.3 sN/A
Memory usage42.5 GB13.2 GB
Memory %44%83%

HW Fit Score Breakdown

qwen3-vl:4b-instruct

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

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

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

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
View qwen3-vl:4b-instruct details | View google/gemma-4-e4b 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