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qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

Global Score
87 vs 79
Hardware Fit
100 vs 81
Quality Score
81 vs 78

Hardware

qwen3-vl-4b-instruct gemma-4-e2b-it@q5_…
MachineMac StudioDocker Container
CPUApple M2 MaxIntel Gen Intel® Core™ i9-11900H
Cores1216
RAM96 GB15 GB
GPUApple M2 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.1Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3-vl-4b-instruct gemma-4-e2b-it@q5_…
Tokens/sec72.017.2
First chunk7 ms7 ms
TTFT176 ms1.6 s
Load time6.7 s8.9 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

qwen3-vl-4b-instruct

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

gemma-4-e2b-it@q5_k_xl

Speed
32/50
TTFT
19/20
Memory
30/30

Quality

qwen3-vl-4b-instruct

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

gemma-4-e2b-it@q5_k_xl

Reasoning
11/20
Coding
17/20
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
View qwen3-vl-4b-instruct details | View gemma-4-e2b-it@q5_… 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