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

LM-STUDIO MLX

qwen2 · 14B · 5bit

Not Rec.

Mar 11, 2026 · Apple M4

yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score

36 vs 70

Hardware Fit

53 vs 89

Quality Score

28 vs 62

Hardware

deepseek-r1-distil… yi-coder:9b

MachineMac miniMacBook Air

CPUApple M4Apple M4

Cores1010

RAM24 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

deepseek-r1-distil… yi-coder:9b

Tokens/sec10.319.4

First chunk27 ms287 ms

TTFT20.7 s287 ms

Load time15.4 s0.7 s

Memory usage1.0 GB9.6 GB

Memory %4%30%

HW Fit Score Breakdown

deepseek-r1-distill-qwe…

Speed

23/50

TTFT

0/20

Memory

30/30

yi-coder:9b

Speed

39/50

TTFT

20/20

Memory

30/30

Quality

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

yi-coder:9b

Reasoning

12/20

Coding

16/20

Instruction

13/20

Structured

7/15

Math

7/15

Multilingual

7/10

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

View deepseek-r1-distil… details | View yi-coder:9b 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