qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
gemma4:26b
OLLAMA GGUFgemma4 · 25.8B · Q4_K_M
Apr 3, 2026 · AMD RYZEN AI MAX+ 395
Global Score
87 vs 89
Hardware Fit
100 vs 95
Quality Score
81 vs 87
Hardware
qwen3-vl-4b-instruct gemma4:26b
MachineMac StudioAZW GTR Pro
CPUApple M2 MaxAMD RYZEN AI MAX+ 395
Cores1232
RAM96 GB125 GB
GPUApple M2 MaxRadeon 8060S
OSmacOS 26.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3-vl-4b-instruct gemma4:26b
Tokens/sec72.048.3
First chunk7 ms346 ms
TTFT176 ms346 ms
Load time6.7 s4.4 s
Memory usage0.0 GB36.1 GB
Memory %0%29%
HW Fit Score Breakdown
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:26b
Speed
45/50
TTFT
20/20
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
gemma4:26b
Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
14/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest