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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

qwen3.5:122b-a10b

OLLAMA GGUF

qwen35moe · 125.1B · Q4_K_M

Excellent

Mar 12, 2026 · AMD RYZEN AI MAX+ 395

Global Score
81 vs 80
Hardware Fit
84 vs 52
Quality Score
79 vs 92

Hardware

google/gemma-4-e4b qwen3.5:122b-a10b
MachineGMKtec EVO-X3AZW GTR Pro
CPUAMD RYZEN AI MAX+ 395AMD RYZEN AI MAX+ 395
Cores3232
RAM120 GB125 GB
GPUAMD Radeon(TM) 8060S GraphicsRadeon 8060S
OSMicrosoft Windows 11 Pro 10.0.26300Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen3.5:122b-a10b
Tokens/sec47.319.1
First chunk23 ms467 ms
TTFT1.9 s467 ms
Load timeN/A30.0 s
Memory usage13.2 GB89.3 GB
Memory %11%72%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.5:122b-a10b

Speed
18/50
TTFT
20/20
Memory
14/30

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

qwen3.5:122b-a10b

Reasoning
19/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.5:122b-a10b 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