qwen3.5-27b-claude-4.6-opus-distilled-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Mar 10, 2026 · Apple M4
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
34 vs 81
Hardware Fit
21 vs 89
Quality Score
39 vs 77
Hardware
qwen3.5-27b-claude… glm-4.7-flash:q4_K_M
MachineMac miniASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM24 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-27b-claude… glm-4.7-flash:q4_K_M
Tokens/sec6.135.1
First chunk7 ms440 ms
TTFT22.9 s440 ms
Load timeN/A11.6 s
Memory usage19.8 GB18.4 GB
Memory %82%58%
HW Fit Score Breakdown
qwen3.5-27b-claude-4.6-…
Speed
12/50
TTFT
0/20
Memory
9/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
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
glm-4.7-flash:q4_K_M
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate 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