qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M4

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

48 vs 77

Hardware Fit

77 vs 100

Quality Score

35 vs 67

Hardware

qwen3.5:4b mlx-community/meta…

MachineMac miniMac mini

CPUApple M4Apple M4 Pro

Cores1014

RAM16 GB64 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5:4b mlx-community/meta…

Tokens/sec18.954.3

First chunk316 ms277 ms

TTFT13.0 s277 ms

Load time3.7 sN/A

Memory usage5.9 GB4.2 GB

Memory %37%7%

HW Fit Score Breakdown

qwen3.5:4b

Speed

43/50

TTFT

4/20

Memory

30/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen3.5:4b

Reasoning

10/20

Coding

1/20

Instruction

4/20

Structured

3/15

Math

8/15

Multilingual

9/10

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

mlx-community/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

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

View qwen3.5:4b details | View mlx-community/meta… 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