qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 24, 2026 · Apple M2
qwen2.5-1.5b-instruct
LM-STUDIO MLXqwen2 · 1.5B · 8bit
Mar 4, 2026 · Apple M4
Global Score
53 vs 69
Hardware Fit
82 vs 100
Quality Score
41 vs 56
Hardware
qwen3.5:4b-mlx qwen2.5-1.5b-instr…
MachineMac miniMacBook Air
CPUApple M2Apple M4
Cores810
RAM8 GB32 GB
GPUApple M2Apple M4
OSmacOS 26.5.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:4b-mlx qwen2.5-1.5b-instr…
Tokens/sec24.758.1
First chunk302 ms211 ms
TTFT7.4 s211 ms
Load time3.2 sN/A
Memory usage3.8 GB1.5 GB
Memory %47%5%
HW Fit Score Breakdown
qwen3.5:4b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
qwen2.5-1.5b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
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
qwen2.5-1.5b-instruct
Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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