qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
google/gemma-3-4b
LM-STUDIO MLXgemma3 · 4B · 4bit
Mar 3, 2026 · Apple M4
Global Score
87 vs 76
Hardware Fit
100 vs 100
Quality Score
81 vs 66
Hardware
qwen3-vl-4b-instruct google/gemma-3-4b
MachineMac StudioMacBook Air
CPUApple M2 MaxApple M4
Cores1210
RAM96 GB32 GB
GPUApple M2 MaxApple M4
OSmacOS 26.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3-vl-4b-instruct google/gemma-3-4b
Tokens/sec72.039.4
First chunk7 ms468 ms
TTFT176 ms468 ms
Load time6.7 sN/A
Memory usage0.0 GB2.8 GB
Memory %0%9%
HW Fit Score Breakdown
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
google/gemma-3-4b
Speed
50/50
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
google/gemma-3-4b
Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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