qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

deepseek-r1-distill-qwen-14b-mlx

LM-STUDIO MLX

qwen2 · 14B · 5bit

Not Rec.

Mar 11, 2026 · Apple M4

Global Score

55 vs 36

Hardware Fit

87 vs 53

Quality Score

41 vs 28

Hardware

qwen3.5-0.8b-mlx deepseek-r1-distil…

MachineMacBook AirMac mini

CPUApple M4Apple M4

Cores1010

RAM32 GB24 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx deepseek-r1-distil…

Tokens/sec68.210.3

First chunk3268 ms27 ms

TTFT3.3 s20.7 s

Load timeN/A15.4 s

Memory usage0.6 GB1.0 GB

Memory %2%4%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed

50/50

TTFT

13/20

Memory

24/30

deepseek-r1-distill-qwe…

Speed

23/50

TTFT

0/20

Memory

30/30

Quality

qwen3.5-0.8b-mlx

Reasoning

8/20

Coding

1/20

Instruction

12/20

Structured

12/15

Math

3/15

Multilingual

5/10

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

deepseek-r1-distill-qwe…

Reasoning

3/20

Coding

6/20

Instruction

6/20

Structured

3/15

Math

2/15

Multilingual

8/10

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

View qwen3.5-0.8b-mlx details | View deepseek-r1-distil… 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