lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen3-vl:2b
OLLAMA GGUFqwen3vl · 2.1B · Q4_K_M
Mar 5, 2026 · AMD RYZEN AI MAX+ 395
Global Score
78 vs 62
Hardware Fit
100 vs 99
Quality Score
68 vs 46
Hardware
lfm2-24b-a2b qwen3-vl:2b
MachineMac miniAZW GTR Pro
CPUApple M4 ProAMD RYZEN AI MAX+ 395
Cores1432
RAM64 GB125 GB
GPUApple M4 ProAMD Radeon 8060S
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
lfm2-24b-a2b qwen3-vl:2b
Tokens/sec105.9127.4
First chunk252 ms101 ms
TTFT252 ms630 ms
Load timeN/A5.9 s
Memory usage0.1 GB33.2 GB
Memory %0%27%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-vl:2b
Speed
50/50
TTFT
19/20
Memory
30/30
Quality
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
qwen3-vl:2b
Reasoning
7/20
Coding
0/20
Instruction
11/20
Structured
7/15
Math
13/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak 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