qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Gen Intel® Core™ i7-13700K

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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score

77 vs 59

Hardware Fit

75 vs 94

Quality Score

78 vs 44

Hardware

qwen3.5:9b text-embedding-nom…

MachineASUSMacBook Air

CPUIntel Gen Intel® Core™ i7-13700KApple M4

Cores2410

RAM64 GB32 GB

GPUNVIDIA GeForce RTX 3070Apple M4

OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3

Archx64arm64

Power Modeunknownbalanced

Performance

qwen3.5:9b text-embedding-nom…

Tokens/sec30.545.3

First chunk291 ms2440 ms

TTFT291 ms2.4 s

Load time4.8 sN/A

Memory usage8.8 GB0.0 GB

Memory %14%0%

HW Fit Score Breakdown

qwen3.5:9b

Speed

34/50

TTFT

20/20

Memory

21/30

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

Quality

qwen3.5:9b

Reasoning

14/20

Coding

15/20

Instruction

14/20

Structured

15/15

Math

10/15

Multilingual

10/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate 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