qwen3.5-27b-claude-4.6-opus-distilled-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Mar 10, 2026 · Apple M4
qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ Ultra X7 358H
Global Score
34 vs 67
Hardware Fit
21 vs 51
Quality Score
39 vs 74
Hardware
qwen3.5-27b-claude… qwen2-57b:57B
MachineMac miniGMKtec NucBox EVO-T2S
CPUApple M4Intel Core™ Ultra X7 358H
Cores1016
RAM24 GB64 GB
GPUApple M4Intel(R) Arc(TM) B390 GPU
OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-27b-claude… qwen2-57b:57B
Tokens/sec6.18.6
First chunk7 ms1573 ms
TTFT22.9 s1.6 s
Load timeN/A29.0 s
Memory usage19.8 GB32.8 GB
Memory %82%52%
HW Fit Score Breakdown
qwen3.5-27b-claude-4.6-…
Speed
12/50
TTFT
0/20
Memory
9/30
qwen2-57b:57B
Speed
10/50
TTFT
17/20
Memory
24/30
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
qwen2-57b:57B
Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate 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