qwen3.6:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
20 vs 87
Hardware Fit
34 vs 100
Quality Score
14 vs 81
Hardware
qwen3.6:27b qwen3-vl-4b-instruct
MachineMac miniMac Studio
CPUApple M4 ProApple M2 Max
Cores1212
RAM24 GB96 GB
GPUApple M4 ProApple M2 Max
OSmacOS 15.6.1macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.6:27b qwen3-vl-4b-instruct
Tokens/sec10.671.2
First chunk1344 ms10 ms
TTFT30.0 s183 ms
Load time0.2 s6.0 s
Memory usage18.1 GB0.3 GB
Memory %75%0%
HW Fit Score Breakdown
qwen3.6:27b
Speed
22/50
TTFT
0/20
Memory
12/30
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
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-vl-4b-instruct
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest