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

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Jun 26, 2026 · Cortex-A78AE

Global Score

34 vs 63

Hardware Fit

21 vs 100

Quality Score

39 vs 47

Hardware

qwen3.5-27b-claude… llama3.2:1b

MachineMac miniNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super

CPUApple M4Cortex-A78AE

Cores106

RAM24 GB7 GB

GPUApple M4Integrated / Unknown

OSmacOS 26.3Ubuntu 22.04.5 LTS

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5-27b-claude… llama3.2:1b

Tokens/sec6.140.2

First chunk7 ms1087 ms

TTFT22.9 s1.1 s

Load timeN/A6.2 s

Memory usage19.8 GB1.4 GB

Memory %82%19%

HW Fit Score Breakdown

qwen3.5-27b-claude-4.6-…

Speed

12/50

TTFT

0/20

Memory

9/30

llama3.2:1b

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

llama3.2:1b

Reasoning

4/20

Coding

9/20

Instruction

14/20

Structured

13/15

Math

1/15

Multilingual

6/10

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

View qwen3.5-27b-claude… details | View llama3.2:1b 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