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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

qwen3-coder:latest

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Good

May 24, 2026 · Intel Gen Intel® Core™ i7-1355U

Global Score
80 vs 76
Hardware Fit
83 vs 51
Quality Score
79 vs 87

Hardware

google/gemma-4-e4b qwen3-coder:latest
MachineGMKtec EVO-X3Dell Inc. Inspiron 15 3530
CPUAMD RYZEN AI MAX+ 395Intel Gen Intel® Core™ i7-1355U
Cores3212
RAM120 GB31 GB
GPUAMD Radeon(TM) 8060S GraphicsRaptor Lake-P [Iris Xe Graphics]
OSMicrosoft Windows 11 Pro 10.0.26300cachyos rolling
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b qwen3-coder:latest
Tokens/sec46.57.6
First chunk14 ms2037 ms
TTFT1.9 s2.0 s
Load time7.6 s8.7 s
Memory usage0.0 GB18.9 GB
Memory %0%61%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
43/50
TTFT
10/20
Memory
30/30

qwen3-coder:latest

Speed
13/50
TTFT
18/20
Memory
20/30

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

qwen3-coder:latest

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen3-coder:latest 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