mlx-community/Yi-1.5-6B-Chat-4bit

LM-STUDIO GGUF

Good

Mar 5, 2026 · Apple M4

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score

73 vs 65

Hardware Fit

100 vs 96

Quality Score

62 vs 51

Hardware

mlx-community/Yi-1… qwen3-4b-qwen3.6-p…

MachineMacBook AirMac Studio

CPUApple M4Apple M2 Max

Cores1012

RAM32 GB96 GB

GPUApple M4Apple M2 Max

OSmacOS 26.3macOS 26.1

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/Yi-1… qwen3-4b-qwen3.6-p…

Tokens/sec29.199.6

First chunk451 ms18 ms

TTFT451 ms1.6 s

Load timeN/A4.8 s

Memory usage0.9 GB0.3 GB

Memory %3%0%

HW Fit Score Breakdown

mlx-community/Yi-1.5-6B…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3-4b-qwen3.6-plus-r…

Speed

50/50

TTFT

16/20

Memory

30/30

Quality

mlx-community/Yi-1.5-6B…

Reasoning

10/20

Coding

11/20

Instruction

13/20

Structured

13/15

Math

9/15

Multilingual

6/10

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

qwen3-4b-qwen3.6-plus-r…

Reasoning

8/20

Coding

4/20

Instruction

14/20

Structured

9/15

Math

8/15

Multilingual

8/10

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

View mlx-community/Yi-1… details | View qwen3-4b-qwen3.6-p… 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