qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
Global Score
87 vs 84
Hardware Fit
100 vs 82
Quality Score
81 vs 85
Hardware
qwen3-vl-4b-instruct gemma4:12b-mlx
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M2 Pro
Cores1210
RAM96 GB16 GB
GPUApple M2 MaxApple M2 Pro
OSmacOS 26.1macOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3-vl-4b-instruct gemma4:12b-mlx
Tokens/sec71.227.2
First chunk4 ms732 ms
TTFT156 ms8.1 s
Load timeN/A3.5 s
Memory usage20.5 GB7.1 GB
Memory %21%44%
HW Fit Score Breakdown
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:12b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
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
gemma4:12b-mlx
Reasoning
16/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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