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gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

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

Global Score
77 vs 80
Hardware Fit
59 vs 98
Quality Score
84 vs 72

Hardware

gemma-4-e4b-it@q5_… qwen3-vl:30b
MachineDocker ContainerASUS
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ Ultra 9 285K
Cores1624
RAM15 GB47 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 5090, Intel(R) Graphics
OSUbuntu 26.04 LTSMicrosoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… qwen3-vl:30b
Tokens/sec9.3208.9
First chunk51 ms102 ms
TTFT3.4 s684 ms
Load time12.2 s0.1 s
Memory usage0.0 GB22.0 GB
Memory %0%47%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

Speed
17/50
TTFT
12/20
Memory
30/30

qwen3-vl:30b

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

Quality

gemma-4-e4b-it@q5_k_xl

Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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
View gemma-4-e4b-it@q5_… details | View qwen3-vl:30b 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