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

LM-STUDIO MLX

qwen2 · 14B · 5bit

Not Rec.

Mar 11, 2026 · Apple M4

smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

Global Score

36 vs 52

Hardware Fit

53 vs 100

Quality Score

28 vs 32

Hardware

deepseek-r1-distil… smollm2:360m

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… smollm2:360m

Tokens/sec10.3117.9

First chunk27 msN/A

TTFT20.7 s43 ms

Load time15.4 s0.4 s

Memory usage1.0 GB1.2 GB

Memory %4%4%

HW Fit Score Breakdown

deepseek-r1-distill-qwe…

Speed

23/50

TTFT

0/20

Memory

30/30

smollm2:360m

Speed

40/50

TTFT

30/20

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

smollm2:360m

Reasoning

4/20

Coding

2/20

Instruction

10/20

Structured

9/15

Math

4/15

Multilingual

3/10

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

View deepseek-r1-distil… details | View smollm2:360m 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