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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

qwen2.5vl:3b

OLLAMA GGUF

qwen25vl · 3.8B · Q4_K_M

Good

Oct 31, 2026 · Intel Gen Intel® Core™ i9-12900H

Global Score
81 vs 77
Hardware Fit
84 vs 100
Quality Score
79 vs 67

Hardware

google/gemma-4-e4b qwen2.5vl:3b
MachineGMKtec EVO-X3Micro-Star International Co., Ltd. Stealth GS77 12UH
CPUAMD RYZEN AI MAX+ 395Intel Gen Intel® Core™ i9-12900H
Cores3220
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsIntel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPU
OSMicrosoft Windows 11 Pro 10.0.26300Microsoft Windows 11 Home 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen2.5vl:3b
Tokens/sec47.3106.5
First chunk23 ms68 ms
TTFT1.9 s68 ms
Load timeN/A17.8 s
Memory usage13.2 GB2.8 GB
Memory %11%9%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen2.5vl:3b

Speed
50/50
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

qwen2.5vl:3b

Reasoning
11/20
Coding
15/20
Instruction
12/20
Structured
14/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View google/gemma-4-e4b details | View qwen2.5vl:3b 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