qwen3.5-27b-claude-4.6-opus-distilled-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Mar 10, 2026 · Apple M4
lmstudio-community/gemma-4-e2b-it
LM-STUDIO GGUFgemma4 · Q8_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
34 vs 77
Hardware Fit
21 vs 75
Quality Score
39 vs 78
Hardware
qwen3.5-27b-claude… lmstudio-community…
MachineMac miniDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM24 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.5-27b-claude… lmstudio-community…
Tokens/sec6.113.3
First chunk7 ms18 ms
TTFT22.9 s1.4 s
Load timeN/A8.1 s
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
lmstudio-community/gemm…
Speed
25/50
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
lmstudio-community/gemm…
Reasoning
12/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong 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