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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

qwen/qwen3.6-35b-a3b

LM-STUDIO MLX

qwen3_5_moe · 35B · 6bit

Excellent

Jul 17, 2026 · Apple M5 Max

Global Score

59 vs 87

Hardware Fit

94 vs 90

Quality Score

44 vs 86

Hardware

text-embedding-nom… qwen/qwen3.6-35b-a3b

MachineMacBook AirMacBook Pro

CPUApple M4Apple M5 Max

Cores1018

RAM32 GB64 GB

GPUApple M4Apple M5 Max

OSmacOS 26.3macOS 27.0

Archarm64arm64

Power Modebalancedbalanced

Performance

text-embedding-nom… qwen/qwen3.6-35b-a3b

Tokens/sec45.386.5

First chunk2440 ms9 ms

TTFT2.4 s175 ms

Load timeN/AN/A

Memory usage0.0 GB37.9 GB

Memory %0%59%

HW Fit Score Breakdown

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

qwen/qwen3.6-35b-a3b

Speed

50/50

TTFT

20/20

Memory

20/30

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

qwen/qwen3.6-35b-a3b

Reasoning

16/20

Coding

18/20

Instruction

15/20

Structured

15/15

Math

12/15

Multilingual

10/10

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

View text-embedding-nom… details | View qwen/qwen3.6-35b-a3b 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