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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-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
72 vs 78
Hardware Fit
89 vs 68
Quality Score
64 vs 82

Hardware

qwen3-vl:8b google/gemma-4-e4b…
MachineHP HP Z8 G4 WorkstationDocker Container
CPUIntel Xeon® Gold 6230Intel Gen Intel® Core™ i9-11900H
Cores8016
RAM252 GB15 GB
GPUTU104GL [Quadro RTX 5000]TigerLake-H GT1 [UHD Graphics]
OSUbuntu 24.04.4 LTSUbuntu 26.04 LTS
Archx64x64
Power Modelow-powerperformance

Performance

qwen3-vl:8b google/gemma-4-e4b…
Tokens/sec68.211.4
First chunk285 ms26 ms
TTFT2.0 s2.2 s
Load time42.4 s5.9 s
Memory usage7.1 GB0.0 GB
Memory %3%0%

HW Fit Score Breakdown

qwen3-vl:8b

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

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

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-it-qat

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate 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