qwen3.5-4b-mlx

LM-STUDIO MLX

qwen3_5 · 4B · 4bit

Not Rec.

Mar 6, 2026 · Apple M4 Pro

vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score

62 vs 59

Hardware Fit

35 vs 97

Quality Score

73 vs 43

Hardware

qwen3.5-4b-mlx vicuna:7b

MachineMac miniMacBook Air

CPUApple M4 ProApple M4

Cores1410

RAM64 GB32 GB

GPUApple M4 ProApple M4

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5-4b-mlx vicuna:7b

Tokens/sec0.023.4

First chunk5548 msN/A

TTFT5.5 s242 ms

Load timeN/A0.4 s

Memory usage2.9 GB5.8 GB

Memory %5%18%

HW Fit Score Breakdown

qwen3.5-4b-mlx

Speed

0/50

TTFT

6/20

Memory

29/30

vicuna:7b

Speed

37/50

TTFT

30/20

Memory

30/30

Quality

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

vicuna:7b

Reasoning

8/20

Coding

4/20

Instruction

10/20

Structured

12/15

Math

2/15

Multilingual

7/10

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

View qwen3.5-4b-mlx details | View vicuna:7b 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