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qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

google/gemma-4-12b-it-qat

LM-STUDIO GGUF

gemma4 · 12B · Q4_0

Good

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

Global Score
80 vs 74
Hardware Fit
98 vs 46
Quality Score
72 vs 86

Hardware

qwen3-vl:30b google/gemma-4-12b…
MachineASUSDocker Container
CPUIntel Core™ Ultra 9 285KIntel Gen Intel® Core™ i9-11900H
Cores2416
RAM47 GB15 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen3-vl:30b google/gemma-4-12b…
Tokens/sec208.95.0
First chunk102 ms64 ms
TTFT684 ms5.5 s
Load time0.1 s9.5 s
Memory usage22.0 GB0.0 GB
Memory %47%0%

HW Fit Score Breakdown

qwen3-vl:30b

Speed
50/50
TTFT
20/20
Memory
28/30

google/gemma-4-12b-it-qat

Speed
9/50
TTFT
7/20
Memory
30/30

Quality

qwen3-vl:30b

Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

google/gemma-4-12b-it-qat

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong 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