qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 24, 2026 · Apple M2
prism-ml/bonsai-27b
LM-STUDIO GGUFqwen35 · 27B · Q1_0
Sep 20, 2026 · AMD Ryzen 9 8940HX
Global Score
53 vs 81
Hardware Fit
82 vs 95
Quality Score
41 vs 75
Hardware
qwen3.5:4b-mlx prism-ml/bonsai-27b
MachineMac miniASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUApple M2AMD Ryzen 9 8940HX
Cores832
RAM8 GB15 GB
GPUApple M2NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSmacOS 26.5.2Microsoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5:4b-mlx prism-ml/bonsai-27b
Tokens/sec24.733.6
First chunk302 ms20 ms
TTFT7.4 s409 ms
Load time3.2 sN/A
Memory usage3.8 GB5.3 GB
Memory %47%35%
HW Fit Score Breakdown
qwen3.5:4b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
prism-ml/bonsai-27b
Speed
46/50
TTFT
20/20
Memory
29/30
Quality
qwen3.5:4b-mlx
Reasoning
13/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate Multilingual: Strong
prism-ml/bonsai-27b
Reasoning
17/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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