qwen3-vl:4b-instruct
OLLAMA GGUFqwen3vl · 4.4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
83 vs 78
Hardware Fit
96 vs 100
Quality Score
78 vs 68
Hardware
qwen3-vl:4b-instruct lfm2-24b-a2b
MachineMac StudioMac mini
CPUApple M2 MaxApple M4 Pro
Cores1214
RAM96 GB64 GB
GPUApple M2 MaxApple M4 Pro
OSmacOS 26.1macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3-vl:4b-instruct lfm2-24b-a2b
Tokens/sec90.6105.9
First chunk159 ms252 ms
TTFT159 ms252 ms
Load time5.8 sN/A
Memory usage42.5 GB0.1 GB
Memory %44%0%
HW Fit Score Breakdown
qwen3-vl:4b-instruct
Speed
50/50
TTFT
20/20
Memory
26/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
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
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate 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