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qwen3.6:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Jun 25, 2026 · Apple M4 Pro

qwen3.5:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Good

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
20 vs 77
Hardware Fit
34 vs 53
Quality Score
14 vs 87

Hardware

qwen3.6:27b qwen3.5:35b
MachineMac miniASUS
CPUApple M4 ProIntel Core™ i5-14600KF
Cores1220
RAM24 GB32 GB
GPUApple M4 ProNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 15.6.1Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.6:27b qwen3.5:35b
Tokens/sec10.616.0
First chunk1344 ms719 ms
TTFT30.0 s719 ms
Load time0.2 s17.8 s
Memory usage18.1 GB25.0 GB
Memory %75%79%

HW Fit Score Breakdown

qwen3.6:27b

Speed
22/50
TTFT
0/20
Memory
12/30

qwen3.5:35b

Speed
23/50
TTFT
20/20
Memory
10/30

Quality

qwen3.6:27b

Reasoning
2/20
Coding
1/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
6/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate

qwen3.5:35b

Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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