qwen3.5-27b-claude-4.6-opus-distilled-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

34 vs 77

Hardware Fit

21 vs 100

Quality Score

39 vs 67

Hardware

qwen3.5-27b-claude… mlx-community/meta…

MachineMac miniMac mini

CPUApple M4Apple M4 Pro

Cores1014

RAM24 GB64 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5-27b-claude… mlx-community/meta…

Tokens/sec6.154.3

First chunk7 ms277 ms

TTFT22.9 s277 ms

Load timeN/AN/A

Memory usage19.8 GB4.2 GB

Memory %82%7%

HW Fit Score Breakdown

qwen3.5-27b-claude-4.6-…

Speed

12/50

TTFT

0/20

Memory

9/30

mlx-community/meta-llam…

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

mlx-community/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

View qwen3.5-27b-claude… details | View mlx-community/meta… details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest