qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 24, 2026 · Apple M2
qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
Global Score
53 vs 59
Hardware Fit
81 vs 63
Quality Score
41 vs 58
Hardware
qwen3.5:4b-mlx qwen3.8-27b-mlx
MachineMac miniMacBook Pro
CPUApple M2Apple M5 Max
Cores818
RAM8 GB64 GB
GPUApple M2Apple M5 Max
OSmacOS 26.5.2macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:4b-mlx qwen3.8-27b-mlx
Tokens/sec24.818.3
First chunk317 ms4 ms
TTFT7.4 s530 ms
Load time0.0 sN/A
Memory usage3.9 GB38.5 GB
Memory %49%60%
HW Fit Score Breakdown
qwen3.5:4b-mlx
Speed
50/50
TTFT
6/20
Memory
25/30
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
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
qwen3.8-27b-mlx
Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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