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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

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

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

Global Score
83 vs 77
Hardware Fit
96 vs 75
Quality Score
78 vs 78

Hardware

google/gemma-4-e4b qwen3.5:9b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHASUS
CPUAMD Ryzen 9 8940HXIntel Gen Intel® Core™ i7-13700K
Cores3224
RAM15 GB64 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MNVIDIA GeForce RTX 3070
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedunknown

Performance

google/gemma-4-e4b qwen3.5:9b
Tokens/sec35.930.5
First chunk9 ms291 ms
TTFT182 ms291 ms
Load timeN/A4.8 s
Memory usage6.5 GB8.8 GB
Memory %43%14%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.5:9b

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

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

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

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