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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-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
81 vs 72
Hardware Fit
84 vs 89
Quality Score
79 vs 64

Hardware

google/gemma-4-e4b qwen3-vl:8b
MachineGMKtec EVO-X3HP HP Z8 G4 Workstation
CPUAMD RYZEN AI MAX+ 395Intel Xeon® Gold 6230
Cores3280
RAM120 GB252 GB
GPUAMD Radeon(TM) 8060S GraphicsTU104GL [Quadro RTX 5000]
OSMicrosoft Windows 11 Pro 10.0.26300Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b qwen3-vl:8b
Tokens/sec47.368.2
First chunk23 ms285 ms
TTFT1.9 s2.0 s
Load timeN/A42.4 s
Memory usage13.2 GB7.1 GB
Memory %11%3%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3-vl:8b

Speed
50/50
TTFT
9/20
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-vl:8b

Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen3-vl:8b 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