qwen3.5-27b-claude-4.6-opus-distilled-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Mar 10, 2026 · Apple M4
ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
34 vs 69
Hardware Fit
21 vs 95
Quality Score
39 vs 58
Hardware
qwen3.5-27b-claude… ornith-1.5:9b
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM24 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-27b-claude… ornith-1.5:9b
Tokens/sec6.122.2
First chunk7 ms341 ms
TTFT22.9 s341 ms
Load timeN/A4.8 s
Memory usage19.8 GB7.1 GB
Memory %82%45%
HW Fit Score Breakdown
qwen3.5-27b-claude-4.6-…
Speed
12/50
TTFT
0/20
Memory
9/30
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
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
ornith-1.5:9b
Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong 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