qwen/qwen3-vl-30b
LM-STUDIO GGUFqwen3vlmoe · 30B · Q4_K_M
Apr 24, 2026 · AMD Ryzen 5 5500
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
92 vs 18
Hardware Fit
95 vs 59
Quality Score
90 vs 0
Hardware
qwen/qwen3-vl-30b lfm2-24b-a2b
MachineASUSMac mini
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1214
RAM31 GB64 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M4 Pro
OSNobara Linux 43macOS 15.7.4
Archx64arm64
Power Modeperformancebalanced
Performance
qwen/qwen3-vl-30b lfm2-24b-a2b
Tokens/sec24.86.6
First chunk11 ms1025 ms
TTFT735 ms1.0 s
Load time11.7 sN/A
Memory usage0.6 GB0.0 GB
Memory %2%0%
HW Fit Score Breakdown
qwen/qwen3-vl-30b
Speed
45/50
TTFT
20/20
Memory
30/30
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
Quality
qwen/qwen3-vl-30b
Reasoning
19/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
lfm2-24b-a2b
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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