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google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Excellent

Jun 13, 2026 · AMD Ryzen 9 3900X 12-Core Processor

Global Score
59 vs 82
Hardware Fit
62 vs 90
Quality Score
58 vs 79

Hardware

google/gemma-4-e4b qwen3:14b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMicro-Star International Co., Ltd. MS-7C37
CPUAMD Ryzen 7 4800HAMD Ryzen 9 3900X 12-Core Processor
Cores1624
RAM15 GB64 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUGameViewer Virtual Display Adapter, NVIDIA GeForce RTX 3080
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 专业版 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3:14b
Tokens/sec7.174.4
First chunk41 ms324 ms
TTFT1.2 s2.6 s
Load time71.7 s5.1 s
Memory usage0.9 GB9.0 GB
Memory %6%14%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
12/50
TTFT
20/20
Memory
30/30

qwen3:14b

Speed
50/50
TTFT
10/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
6/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3:14b

Reasoning
18/20
Coding
11/20
Instruction
17/20
Structured
14/15
Math
10/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen3:14b 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