qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 24, 2026 · Apple M2
mistralai/magistral-small-2509
LM-STUDIO MLXmistral3 · 24B · 4bit
Mar 4, 2026 · Apple M4
Global Score
53 vs 74
Hardware Fit
82 vs 66
Quality Score
41 vs 78
Hardware
qwen3.5:4b-mlx mistralai/magistra…
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 mistralai/magistra…
Tokens/sec24.77.9
First chunk302 ms1356 ms
TTFT7.4 s1.4 s
Load time3.2 sN/A
Memory usage3.8 GB13.2 GB
Memory %47%41%
HW Fit Score Breakdown
qwen3.5:4b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
mistralai/magistral-sma…
Speed
16/50
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
mistralai/magistral-sma…
Reasoning
14/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong 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