qwen3.5-4b-mlx

LM-STUDIO MLX

qwen3_5 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score

71 vs 81

Hardware Fit

88 vs 89

Quality Score

63 vs 77

Hardware

qwen3.5-4b-mlx glm-4.7-flash:q4_K_M

MachineMacBook AirASUS

CPUApple M4Intel Core™ i5-14600KF

Cores1020

RAM32 GB32 GB

GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER

OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

qwen3.5-4b-mlx glm-4.7-flash:q4_K_M

Tokens/sec23.135.1

First chunk3279 ms440 ms

TTFT3.3 s440 ms

Load timeN/A11.6 s

Memory usage2.9 GB18.4 GB

Memory %9%58%

HW Fit Score Breakdown

qwen3.5-4b-mlx

Speed

45/50

TTFT

13/20

Memory

30/30

glm-4.7-flash:q4_K_M

Speed

49/50

TTFT

20/20

Memory

20/30

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

glm-4.7-flash:q4_K_M

Reasoning

13/20

Coding

17/20

Instruction

12/20

Structured

15/15

Math

10/15

Multilingual

10/10

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

View qwen3.5-4b-mlx details | View glm-4.7-flash:q4_K_M 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