qwen3.5-27b-claude-4.6-opus-distilled-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Mar 10, 2026 · Apple M4
hf.co/openbmb/MiniCPM5-1B-GGUF:F16
OLLAMA GGUFllama · 1.08B · F16
Aug 25, 2026 · Apple M1 Pro
Global Score
34 vs 71
Hardware Fit
21 vs 100
Quality Score
39 vs 58
Hardware
qwen3.5-27b-claude… hf.co/openbmb/Mini…
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/openbmb/Mini…
Tokens/sec6.188.1
First chunk7 ms38 ms
TTFT22.9 s38 ms
Load timeN/A1.6 s
Memory usage19.8 GB3.9 GB
Memory %82%25%
HW Fit Score Breakdown
qwen3.5-27b-claude-4.6-…
Speed
12/50
TTFT
0/20
Memory
9/30
hf.co/openbmb/MiniCPM5-…
Speed
50/50
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
hf.co/openbmb/MiniCPM5-…
Reasoning
12/20
Coding
10/20
Instruction
15/20
Structured
11/15
Math
3/15
Multilingual
7/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate
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