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qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Good

Mar 10, 2026 · Apple M4

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
66 vs 80
Hardware Fit
34 vs 85
Quality Score
80 vs 78

Hardware

qwen3.5:27b qwen3:8b
MachineMac miniHP HP Z8 G4 Workstation
CPUApple M4Intel Xeon® Gold 6230
Cores1080
RAM24 GB252 GB
GPUApple M4TU104GL [Quadro RTX 5000]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3.5:27b qwen3:8b
Tokens/sec4.065.1
First chunk1655 ms289 ms
TTFT1.7 s4.2 s
Load time12.9 s4.6 s
Memory usage21.3 GB5.6 GB
Memory %89%2%

HW Fit Score Breakdown

qwen3.5:27b

Speed
8/50
TTFT
20/20
Memory
6/30

qwen3:8b

Speed
50/50
TTFT
5/20
Memory
30/30

Quality

qwen3.5:27b

Reasoning
16/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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