qwen3.5-27b-claude-4.6-opus-distilled-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Mar 10, 2026 · Apple M4
hf.co/ornith-ai/Ornith-1.0-9B-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 8.95B · unknown
Aug 26, 2026 · Apple M1 Pro
Global Score
34 vs 61
Hardware Fit
21 vs 95
Quality Score
39 vs 46
Hardware
qwen3.5-27b-claude… hf.co/ornith-ai/Or…
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… hf.co/ornith-ai/Or…
Tokens/sec6.122.2
First chunk7 ms352 ms
TTFT22.9 s352 ms
Load timeN/A2.9 s
Memory usage19.8 GB6.9 GB
Memory %82%43%
HW Fit Score Breakdown
qwen3.5-27b-claude-4.6-…
Speed
12/50
TTFT
0/20
Memory
9/30
hf.co/ornith-ai/Ornith-…
Speed
48/50
TTFT
20/20
Memory
27/30
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
hf.co/ornith-ai/Ornith-…
Reasoning
15/20
Coding
14/20
Instruction
3/20
Structured
1/15
Math
13/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor 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