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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

qwen3.8:27b

OLLAMA GGUF

qwen35 · 27.3B · Q4_K_M

Excellent

Aug 15, 2026 · Cortex-X925

Global Score
81 vs 85
Hardware Fit
84 vs 79
Quality Score
79 vs 87

Hardware

google/gemma-4-e4b qwen3.8:27b
MachineGMKtec EVO-X3ASUSTeK COMPUTER INC. GX10
CPUAMD RYZEN AI MAX+ 395Cortex-X925
Cores3220
RAM120 GB122 GB
GPUAMD Radeon(TM) 8060S GraphicsDevice 2e12
OSMicrosoft Windows 11 Pro 10.0.26300Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen3.8:27b
Tokens/sec47.327.4
First chunk23 ms593 ms
TTFT1.9 s593 ms
Load timeN/A0.3 s
Memory usage13.2 GB18.2 GB
Memory %11%15%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.8:27b

Speed
29/50
TTFT
20/20
Memory
30/30

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

qwen3.8:27b

Reasoning
18/20
Coding
17/20
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

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