Back to leaderboard

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Apr 1, 2026 · Apple M4

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
4 vs 81
Hardware Fit
13 vs 95
Quality Score
0 vs 75

Hardware

qwen3.5:27b qwen3:8b
MachineMac miniASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM24 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:27b qwen3:8b
Tokens/sec3.5108.3
First chunk1781 ms169 ms
TTFT52.0 s169 ms
Load time13.4 s1.7 s
Memory usage21.3 GB5.6 GB
Memory %89%18%

HW Fit Score Breakdown

qwen3.5:27b

Speed
7/50
TTFT
0/20
Memory
6/30

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
25/30

Quality

qwen3.5:27b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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