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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

qwen/qwen3-vl-30b

LM-STUDIO GGUF

qwen3vlmoe · 30B · Q4_K_M

Excellent

Apr 24, 2026 · AMD Ryzen 5 5500

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

Hardware

google/gemma-4-e4b qwen/qwen3-vl-30b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHASUS
CPUAMD Ryzen 9 8940HXAMD Ryzen 5 5500
Cores3212
RAM15 GB31 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MNavi 44 [Radeon RX 9060 XT]
OSMicrosoft Windows 11 Home Single Language 10.0.26200Nobara Linux 43
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen/qwen3-vl-30b
Tokens/sec35.924.8
First chunk9 ms11 ms
TTFT182 ms735 ms
Load timeN/A11.7 s
Memory usage6.5 GB0.6 GB
Memory %43%2%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen/qwen3-vl-30b

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

Quality

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

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
View google/gemma-4-e4b details | View qwen/qwen3-vl-30b 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