google/gemma-4-e4b
LM-STUDIO GGUFvlm · 7.9B · Q4_K_M
Oct 1, 2026 · AMD Ryzen 7 4800H
qwen2.5-coder:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
Global Score
59 vs 82
Hardware Fit
62 vs 100
Quality Score
58 vs 74
Hardware
google/gemma-4-e4b qwen2.5-coder:7b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUAMD Ryzen 7 4800HIntel Core™ i5-14400F
Cores1616
RAM15 GB32 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce RTX 5060 Ti
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Professionnel 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b qwen2.5-coder:7b
Tokens/sec7.173.0
First chunk41 ms52 ms
TTFT1.2 s52 ms
Load time71.7 s4.2 s
Memory usage0.9 GB4.4 GB
Memory %6%14%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
12/50
TTFT
20/20
Memory
30/30
qwen2.5-coder:7b
Speed
50/50
TTFT
20/20
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
qwen2.5-coder:7b
Reasoning
10/20
Coding
19/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest