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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

qwen3.8-27b-claude-opus-reasoning-distilled

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Excellent

Aug 20, 2026 · Apple M4 Max

Global Score

59 vs 80

Hardware Fit

94 vs 63

Quality Score

44 vs 87

Hardware

text-embedding-nom… qwen3.8-27b-claude…

MachineMacBook AirMacBook Pro

CPUApple M4Apple M4 Max

Cores1016

RAM32 GB128 GB

GPUApple M4Apple M4 Max

OSmacOS 26.3macOS 26.5.2

Archarm64arm64

Power Modebalancedbalanced

Performance

text-embedding-nom… qwen3.8-27b-claude…

Tokens/sec45.324.0

First chunk2440 ms20 ms

TTFT2.4 s4.5 s

Load timeN/AN/A

Memory usage0.0 GB15.7 GB

Memory %0%12%

HW Fit Score Breakdown

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

qwen3.8-27b-claude-opus…

Speed

27/50

TTFT

6/20

Memory

30/30

Quality

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

qwen3.8-27b-claude-opus…

Reasoning

19/20

Coding

18/20

Instruction

11/20

Structured

15/15

Math

14/15

Multilingual

10/10

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

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