smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

qwen3.5-4b-mlx

LM-STUDIO MLX

qwen3_5 · 4B · 4bit

Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score

52 vs 62

Hardware Fit

100 vs 35

Quality Score

32 vs 73

Hardware

smollm2:360m qwen3.5-4b-mlx

MachineMacBook AirMac mini

CPUApple M4Apple M4 Pro

Cores1014

RAM32 GB64 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

smollm2:360m qwen3.5-4b-mlx

Tokens/sec117.90.0

First chunkN/A5548 ms

TTFT43 ms5.5 s

Load time0.4 sN/A

Memory usage1.2 GB2.9 GB

Memory %4%5%

HW Fit Score Breakdown

smollm2:360m

Speed

40/50

TTFT

30/20

Memory

30/30

qwen3.5-4b-mlx

Speed

0/50

TTFT

6/20

Memory

29/30

Quality

smollm2:360m

Reasoning

4/20

Coding

2/20

Instruction

10/20

Structured

9/15

Math

4/15

Multilingual

3/10

Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

qwen3.5-4b-mlx

Reasoning

17/20

Coding

17/20

Instruction

9/20

Structured

8/15

Math

13/15

Multilingual

9/10

Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong

View smollm2:360m details | View qwen3.5-4b-mlx details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest