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qwen/qwen3-vl-30b

LM-STUDIO GGUF

qwen3vlmoe · 30B · Q4_K_M

Excellent

Apr 24, 2026 · AMD Ryzen 5 5500

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
92 vs 83
Hardware Fit
95 vs 96
Quality Score
90 vs 78

Hardware

qwen/qwen3-vl-30b google/gemma-4-e4b
MachineASUSASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUAMD Ryzen 5 5500AMD Ryzen 9 8940HX
Cores1232
RAM31 GB15 GB
GPUNavi 44 [Radeon RX 9060 XT]NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSNobara Linux 43Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

qwen/qwen3-vl-30b google/gemma-4-e4b
Tokens/sec24.835.9
First chunk11 ms9 ms
TTFT735 ms182 ms
Load time11.7 sN/A
Memory usage0.6 GB6.5 GB
Memory %2%43%

HW Fit Score Breakdown

qwen/qwen3-vl-30b

Speed
45/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b

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

Quality

qwen/qwen3-vl-30b

Reasoning
19/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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
View qwen/qwen3-vl-30b 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