lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen3.5:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Mar 6, 2026 · AMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Global Score
78 vs 79
Hardware Fit
100 vs 57
Quality Score
68 vs 89
Hardware
lfm2-24b-a2b qwen3.5:27b
MachineMac miniAZW GTR Pro
CPUApple M4 ProAMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Cores1432
RAM64 GB125 GB
GPUApple M4 ProIntegrated / Apple Silicon
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance
Performance
lfm2-24b-a2b qwen3.5:27b
Tokens/sec105.910.7
First chunk252 ms341 ms
TTFT252 ms341 ms
Load timeN/A10.2 s
Memory usage0.1 GB39.7 GB
Memory %0%32%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:27b
Speed
9/50
TTFT
20/20
Memory
28/30
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
qwen3.5:27b
Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
12/15
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