lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen3.6:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
18 vs 70
Hardware Fit
59 vs 66
Quality Score
0 vs 71
Hardware
lfm2-24b-a2b qwen3.6:35b
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4 Pro
Cores1414
RAM64 GB48 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.7.4macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b qwen3.6:35b
Tokens/sec6.630.6
First chunk1025 ms304 ms
TTFT1.0 s30.0 s
Load timeN/A10.0 s
Memory usage0.0 GB28.1 GB
Memory %0%59%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
qwen3.6:35b
Speed
45/50
TTFT
0/20
Memory
21/30
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
qwen3.6:35b
Reasoning
18/20
Coding
12/20
Instruction
12/20
Structured
6/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate 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