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

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

google/gemma-4-26b-a4b-it-qat

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score

34 vs 82

Hardware Fit

21 vs 56

Quality Score

39 vs 93

Hardware

qwen3.5-27b-claude… google/gemma-4-26b…

MachineMac miniDocker Container

CPUApple M4Intel Gen Intel® Core™ i9-11900H

Cores1016

RAM24 GB15 GB

GPUApple M4TigerLake-H GT1 [UHD Graphics]

OSmacOS 26.3Ubuntu 26.04 LTS

Archarm64x64

Power Modebalancedperformance

Performance

qwen3.5-27b-claude… google/gemma-4-26b…

Tokens/sec6.112.0

First chunk7 ms86 ms

TTFT22.9 s2.8 s

Load timeN/A57.2 s

Memory usage19.8 GB9.1 GB

Memory %82%59%

HW Fit Score Breakdown

qwen3.5-27b-claude-4.6-…

Speed

12/50

TTFT

0/20

Memory

9/30

google/gemma-4-26b-a4b-…

Speed

22/50

TTFT

14/20

Memory

20/30

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

google/gemma-4-26b-a4b-…

Reasoning

17/20

Coding

19/20

Instruction

20/20

Structured

14/15

Math

13/15

Multilingual

10/10

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

View qwen3.5-27b-claude… details | View google/gemma-4-26b… 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