qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score

85 vs 59

Hardware Fit

96 vs 94

Quality Score

80 vs 44

Hardware

qwen3.5:9b text-embedding-nom…

MachineASUSMacBook Air

CPUIntel Core™ i5-14600KFApple M4

Cores2010

RAM32 GB32 GB

GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4

OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3.5:9b text-embedding-nom…

Tokens/sec88.645.3

First chunk306 ms2440 ms

TTFT306 ms2.4 s

Load time7.0 sN/A

Memory usage8.1 GB0.0 GB

Memory %25%0%

HW Fit Score Breakdown

qwen3.5:9b

Speed

50/50

TTFT

20/20

Memory

26/30

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

Quality

qwen3.5:9b

Reasoning

14/20

Coding

16/20

Instruction

15/20

Structured

15/15

Math

10/15

Multilingual

10/10

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