google/gemma-4-e4b
LM-STUDIO GGUFvlm · 7.9B · Q4_K_M
Oct 1, 2026 · AMD Ryzen 7 4800H
qwen3.6:35b-a3b-q8_0
OLLAMA GGUFqwen35moe · 36.0B · Q8_0
Jul 7, 2026 · Cortex-X925
Global Score
59 vs 80
Hardware Fit
62 vs 79
Quality Score
58 vs 81
Hardware
google/gemma-4-e4b qwen3.6:35b-a3b-q8_0
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMASUSTeK COMPUTER INC. GX10
CPUAMD Ryzen 7 4800HCortex-X925
Cores1620
RAM15 GB122 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUDevice 2e12
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance
Performance
google/gemma-4-e4b qwen3.6:35b-a3b-q8_0
Tokens/sec7.155.5
First chunk41 ms528 ms
TTFT1.2 s30.0 s
Load time71.7 s32.6 s
Memory usage0.9 GB41.0 GB
Memory %6%34%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
12/50
TTFT
20/20
Memory
30/30
qwen3.6:35b-a3b-q8_0
Speed
50/50
TTFT
0/20
Memory
29/30
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
qwen3.6:35b-a3b-q8_0
Reasoning
18/20
Coding
13/20
Instruction
17/20
Structured
10/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Adequate Math: Strong 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