lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen/qwen3-30b-a3b-2507
LM-STUDIO MLXqwen3_moe · 30B · 4bit
Mar 4, 2026 · Apple M4
Global Score
18 vs 94
Hardware Fit
59 vs 100
Quality Score
0 vs 91
Hardware
lfm2-24b-a2b qwen/qwen3-30b-a3b…
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b qwen/qwen3-30b-a3b…
Tokens/sec6.644.8
First chunk1025 ms405 ms
TTFT1.0 s405 ms
Load timeN/AN/A
Memory usage0.0 GB16.0 GB
Memory %0%50%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
qwen/qwen3-30b-a3b-2507
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
qwen/qwen3-30b-a3b-2507
Reasoning
17/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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