qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

text-embedding-nomic-embed-text-v1.5

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score

66 vs 59

Hardware Fit

91 vs 94

Quality Score

55 vs 44

Hardware

qwen3.8-27b-mlx text-embedding-nom…

MachineMacBook ProMacBook Air

CPUApple M5 MaxApple M4

Cores1810

RAM64 GB32 GB

GPUApple M5 MaxApple M4

OSmacOS 27.0macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.8-27b-mlx text-embedding-nom…

Tokens/sec33.245.3

First chunk7 ms2440 ms

TTFT311 ms2.4 s

Load timeN/AN/A

Memory usage0.5 GB0.0 GB

Memory %1%0%

HW Fit Score Breakdown

qwen3.8-27b-mlx

Speed

41/50

TTFT

20/20

Memory

30/30

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

Quality

qwen3.8-27b-mlx

Reasoning

19/20

Coding

13/20

Instruction

6/20

Structured

0/15

Math

14/15

Multilingual

3/10

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

text-embedding-nomic-em…

Reasoning

10/20

Coding

3/20

Instruction

11/20

Structured

12/15

Math

3/15

Multilingual

5/10

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

View qwen3.8-27b-mlx details | View text-embedding-nom… 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