qwen3.5-27b-claude-4.6-opus-distilled-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Mar 10, 2026 · Apple M4
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
34 vs 18
Hardware Fit
21 vs 59
Quality Score
39 vs 0
Hardware
qwen3.5-27b-claude… lfm2-24b-a2b
MachineMac miniMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM24 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-27b-claude… lfm2-24b-a2b
Tokens/sec6.16.6
First chunk7 ms1025 ms
TTFT22.9 s1.0 s
Load timeN/AN/A
Memory usage19.8 GB0.0 GB
Memory %82%0%
HW Fit Score Breakdown
qwen3.5-27b-claude-4.6-…
Speed
12/50
TTFT
0/20
Memory
9/30
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-27b-claude-4.6-…
Reasoning
1/20
Coding
14/20
Instruction
5/20
Structured
8/15
Math
4/15
Multilingual
7/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Adequate
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