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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Excellent

Mar 5, 2026 · Apple M1 Max

Global Score

59 vs 83

Hardware Fit

94 vs 100

Quality Score

44 vs 76

Hardware

text-embedding-nom… qwen3.5:4b

MachineMacBook AirMacBook Pro

CPUApple M4Apple M1 Max

Cores1010

RAM32 GB32 GB

GPUApple M4Apple M1 Max

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

text-embedding-nom… qwen3.5:4b

Tokens/sec45.332.4

First chunk2440 ms306 ms

TTFT2.4 s306 ms

Load timeN/A2.7 s

Memory usage0.0 GB6.5 GB

Memory %0%20%

HW Fit Score Breakdown

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

qwen3.5:4b

Speed

50/50

TTFT

20/20

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

qwen3.5:4b

Reasoning

16/20

Coding

14/20

Instruction

15/20

Structured

15/15

Math

7/15

Multilingual

9/10

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

View text-embedding-nom… details | View qwen3.5:4b 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