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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 4, 2026 · Intel Gen Intel® Core™ i7-12700K

Global Score
81 vs 80
Hardware Fit
84 vs 60
Quality Score
79 vs 88

Hardware

google/gemma-4-e4b qwen3-coder:30b
MachineGMKtec EVO-X3ASUS
CPUAMD RYZEN AI MAX+ 395Intel Gen Intel® Core™ i7-12700K
Cores3220
RAM120 GB96 GB
GPUAMD Radeon(TM) 8060S GraphicsParsec Virtual Display Adapter, NVIDIA GeForce RTX 2060
OSMicrosoft Windows 11 Pro 10.0.26300Microsoft Windows 11 Enterprise 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3-coder:30b
Tokens/sec47.314.7
First chunk23 ms796 ms
TTFT1.9 s796 ms
Load timeN/A0.2 s
Memory usage13.2 GB17.9 GB
Memory %11%19%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
44/50
TTFT
10/20
Memory
30/30

qwen3-coder:30b

Speed
14/50
TTFT
19/20
Memory
27/30

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:30b

Reasoning
17/20
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:30b 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