gemma4:26b
OLLAMA GGUFgemma4 · 25.8B · Q4_K_M
Apr 3, 2026 · Apple M4
qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
33 vs 87
Hardware Fit
50 vs 100
Quality Score
25 vs 81
Hardware
gemma4:26b qwen3-vl-4b-instruct
MachineMac miniMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM24 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:26b qwen3-vl-4b-instruct
Tokens/sec20.071.2
First chunk941 ms4 ms
TTFT30.0 s156 ms
Load time0.2 sN/A
Memory usage20.3 GB20.5 GB
Memory %85%21%
HW Fit Score Breakdown
gemma4:26b
Speed
42/50
TTFT
0/20
Memory
8/30
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:26b
Reasoning
14/20
Coding
1/20
Instruction
6/20
Structured
3/15
Math
0/15
Multilingual
1/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
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
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