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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

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Gen Intel® Core™ i7-13700K

Global Score
59 vs 77
Hardware Fit
62 vs 75
Quality Score
58 vs 78

Hardware

google/gemma-4-e4b qwen3.5:9b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMASUS
CPUAMD Ryzen 7 4800HIntel Gen Intel® Core™ i7-13700K
Cores1624
RAM15 GB64 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce RTX 3070
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedunknown

Performance

google/gemma-4-e4b qwen3.5:9b
Tokens/sec7.130.5
First chunk41 ms291 ms
TTFT1.2 s291 ms
Load time71.7 s4.8 s
Memory usage0.9 GB8.8 GB
Memory %6%14%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.5:9b

Speed
34/50
TTFT
20/20
Memory
21/30

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

qwen3.5:9b

Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.5:9b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest