qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score

72 vs 59

Hardware Fit

89 vs 94

Quality Score

65 vs 44

Hardware

qwen3.5-9b text-embedding-nom…

MachineMac miniMacBook Air

CPUApple M4 ProApple M4

Cores1410

RAM64 GB32 GB

GPUApple M4 ProApple M4

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5-9b text-embedding-nom…

Tokens/sec28.945.3

First chunk338 ms2440 ms

TTFT338 ms2.4 s

Load timeN/AN/A

Memory usage6.1 GB0.0 GB

Memory %10%0%

HW Fit Score Breakdown

qwen3.5-9b

Speed

39/50

TTFT

20/20

Memory

30/30

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

Quality

qwen3.5-9b

Reasoning

17/20

Coding

15/20

Instruction

6/20

Structured

7/15

Math

12/15

Multilingual

8/10

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

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 qwen3.5-9b 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