liquid/lfm2-24b-a2b
LM-STUDIO GGUFlfm2moe · 24B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
qwen/qwen3.6-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 22, 2026 · Apple M1 Pro
Global Score
87 vs 80
Hardware Fit
100 vs 56
Quality Score
82 vs 90
Hardware
liquid/lfm2-24b-a2b qwen/qwen3.6-27b
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M1 Pro
Cores3210
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced
Performance
liquid/lfm2-24b-a2b qwen/qwen3.6-27b
Tokens/sec80.910.8
First chunk7 ms16 ms
TTFT222 ms2.6 s
Load time26.6 sN/A
Memory usage32.1 GB21.0 GB
Memory %27%66%
HW Fit Score Breakdown
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen/qwen3.6-27b
Speed
23/50
TTFT
16/20
Memory
17/30
Quality
liquid/lfm2-24b-a2b
Reasoning
15/20
Coding
17/20
Instruction
15/20
Structured
14/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen/qwen3.6-27b
Reasoning
18/20
Coding
18/20
Instruction
16/20
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