Back to leaderboard

qwen3.5-27b

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Not Rec.

Mar 6, 2026 · Apple M4 Pro

qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
26 vs 40
Hardware Fit
63 vs 89
Quality Score
10 vs 19

Hardware

qwen3.5-27b qwen3-0.6b
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores144
RAM64 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5-27b qwen3-0.6b
Tokens/sec9.514.4
First chunk1099 ms854 ms
TTFT1.1 s854 ms
Load timeN/AN/A
Memory usage16.3 GB0.5 GB
Memory %25%3%

HW Fit Score Breakdown

qwen3.5-27b

Speed
13/50
TTFT
20/20
Memory
30/30

qwen3-0.6b

Speed
43/50
TTFT
20/20
Memory
26/30

Quality

qwen3.5-27b

Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
7/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate

qwen3-0.6b

Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate
View qwen3.5-27b details | View qwen3-0.6b 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