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qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
72 vs 68
Hardware Fit
89 vs 93
Quality Score
64 vs 57

Hardware

qwen3-vl:8b google/gemma-4-e4b
MachineHP HP Z8 G4 WorkstationLENOVO 82JQ
CPUIntel Xeon® Gold 6230AMD Ryzen 7 5800H
Cores8016
RAM252 GB16 GB
GPUTU104GL [Quadro RTX 5000]NVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modelow-powerbalanced

Performance

qwen3-vl:8b google/gemma-4-e4b
Tokens/sec68.226.2
First chunk285 ms17 ms
TTFT2.0 s572 ms
Load time42.4 sN/A
Memory usage7.1 GB6.5 GB
Memory %3%41%

HW Fit Score Breakdown

qwen3-vl:8b

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

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

Quality

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

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor

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