qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

muse-glimmer

OLLAMA GGUF

Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score

85 vs 74

Hardware Fit

96 vs 41

Quality Score

80 vs 88

Hardware

qwen3.5:9b muse-glimmer

MachineASUSAZW GTR Pro

CPUIntel Core™ i5-14600KFAMD RYZEN AI MAX+ 395

Cores2032

RAM32 GB125 GB

GPUNVIDIA GeForce RTX 4070 Ti SUPERRadeon 8060S

OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 24.04.4 LTS

Archx64x64

Power Modebalancedlow-power

Performance

qwen3.5:9b muse-glimmer

Tokens/sec88.612.1

First chunk306 ms8749 ms

TTFT306 ms8.7 s

Load time7.0 s0.3 s

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

muse-glimmer

Speed

10/50

TTFT

1/20

Memory

30/30

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

muse-glimmer

Reasoning

18/20

Coding

18/20

Instruction

13/20

Structured

14/15

Math

15/15

Multilingual

10/10

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

View qwen3.5:9b details | View muse-glimmer 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