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

LM-STUDIO MLX

qwen2 · 14B · 5bit

Not Rec.

Mar 11, 2026 · Apple M4

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score

36 vs 65

Hardware Fit

53 vs 88

Quality Score

28 vs 55

Hardware

deepseek-r1-distil… glm-4.6v-flash

MachineMac miniMac Studio

CPUApple M4Apple M2 Max

Cores1012

RAM24 GB96 GB

GPUApple M4Apple M2 Max

OSmacOS 26.3macOS 26.1

Archarm64arm64

Power Modebalancedbalanced

Performance

deepseek-r1-distil… glm-4.6v-flash

Tokens/sec10.349.9

First chunk27 ms27 ms

TTFT20.7 s3.7 s

Load time15.4 s2.7 s

Memory usage1.0 GB0.0 GB

Memory %4%0%

HW Fit Score Breakdown

deepseek-r1-distill-qwe…

Speed

23/50

TTFT

0/20

Memory

30/30

glm-4.6v-flash

Speed

50/50

TTFT

8/20

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

glm-4.6v-flash

Reasoning

0/20

Coding

16/20

Instruction

12/20

Structured

2/15

Math

15/15

Multilingual

10/10

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

View deepseek-r1-distil… details | View glm-4.6v-flash 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