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qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

google/gemma-4-26b-a4b-it-qat

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

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

Global Score
83 vs 82
Hardware Fit
96 vs 56
Quality Score
78 vs 93

Hardware

qwen3-vl:4b-instruct google/gemma-4-26b…
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 google/gemma-4-26b…
Tokens/sec90.612.0
First chunk159 ms86 ms
TTFT159 ms2.8 s
Load time5.8 s57.2 s
Memory usage42.5 GB9.1 GB
Memory %44%59%

HW Fit Score Breakdown

qwen3-vl:4b-instruct

Speed
50/50
TTFT
20/20
Memory
26/30

google/gemma-4-26b-a4b-…

Speed
22/50
TTFT
14/20
Memory
20/30

Quality

qwen3-vl:4b-instruct

Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

google/gemma-4-26b-a4b-…

Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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