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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

qwen/qwen3.6-27b

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Not Rec.

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

Global Score
80 vs 76
Hardware Fit
83 vs 47
Quality Score
79 vs 89

Hardware

google/gemma-4-e4b qwen/qwen3.6-27b
MachineGMKtec EVO-X3GMKtec EVO-X3
CPUAMD RYZEN AI MAX+ 395AMD RYZEN AI MAX+ 395
Cores3232
RAM120 GB120 GB
GPUAMD Radeon(TM) 8060S GraphicsAMD Radeon(TM) 8060S Graphics
OSMicrosoft Windows 11 Pro 10.0.26300Microsoft Windows 11 Pro 10.0.26300
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen/qwen3.6-27b
Tokens/sec46.510.7
First chunk14 ms35 ms
TTFT1.9 s885 ms
Load time7.6 s127.6 s
Memory usage0.0 GB67.5 GB
Memory %0%56%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen/qwen3.6-27b

Speed
9/50
TTFT
16/20
Memory
22/30

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

qwen/qwen3.6-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen/qwen3.6-27b 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