qwen3.5:9b

qwen35 · 9.7B · Q4_K_M

ASUS (Intel Core™ i5-14600KF)

32 GB · Microsoft Windows 11 Famille 10.0.26200

Tested on March 7, 2026 · Submitted by RzoFlo

Top 8% Compare

Global Score

84 /100

Excellent

Hardware Fit

94/100

Quality

80/100

Get this model

🦙

Ollama

ollama pull qwen3.5:9b

View on Ollama Library

ollama.com/library/qwen3.5

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: ASUS
CPU: Intel Core™ i5-14600KF
Cores: 20 total (20 perf)
Frequency: 3.5 GHz
RAM: 32 GB DDR5
GPU: NVIDIA GeForce RTX 4070 Ti SUPER
OS: Microsoft Windows 11 Famille 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 86.3
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±5.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 316 ms
Time to first token How fast the model starts responding — lower is better: 316 ms
Load time Time to load the model into memory before inference: 0.3 s
Memory usage RAM consumed during inference — percentage of total system memory: 8.1 GB (25%)
Total tokens Total number of tokens generated across all benchmark prompts: 999

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

24/30

Quality

Reasoning

14/20

Coding

16/20

Instruction following

15/20

Structured output

15/15

Math

10/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.7
Model format: GGUF
Hardware profile: BALANCED
Result hash: 4d0f91a14d6a78d1c840ae93926593928139d735b79e8bfd26471439b7034c43

Interpretation

Hardware fit: 94/100. Overall suitability: EXCELLENT (Global 84/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 11% (peak 13%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest