qwen3.5-4b-mlx

LM-STUDIO MLX

qwen3_5 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score

71 vs 59

Hardware Fit

88 vs 97

Quality Score

63 vs 43

Hardware

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

MachineMacBook AirMacBook Air

CPUApple M4Apple M4

Cores1010

RAM32 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

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

Tokens/sec23.123.4

First chunk3279 msN/A

TTFT3.3 s242 ms

Load timeN/A0.4 s

Memory usage2.9 GB5.8 GB

Memory %9%18%

HW Fit Score Breakdown

qwen3.5-4b-mlx

Speed

45/50

TTFT

13/20

Memory

30/30

vicuna:7b

Speed

37/50

TTFT

30/20

Memory

30/30

Quality

qwen3.5-4b-mlx

Reasoning

15/20

Coding

16/20

Instruction

6/20

Structured

6/15

Math

11/15

Multilingual

9/10

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