qwen3.5:9b

qwen35 · 9.7B · Q4_K_M

ASUS (Intel Gen Intel® Core™ i7-13700K)

64 GB · Microsoft Windows 11 Pro 10.0.26200

Tested on March 5, 2026

Top 24% Compare

Global Score

77 /100

Good

Hardware Fit

75/100

Quality

78/100

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Ollama

ollama pull qwen3.5:9b

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ollama.com/library/qwen3.5

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GGUF versions & quantizations

Hardware

Machine: ASUS
CPU: Intel Gen Intel® Core™ i7-13700K
Cores: 24 total (24 perf)
Frequency: 3.4 GHz
RAM: 64 GB DDR5
GPU: NVIDIA GeForce RTX 3070
OS: Microsoft Windows 11 Pro 10.0.26200
Arch: x64

Performance

Tokens/sec Tokens generated per second — higher is better: 30.5
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.8
First chunk latency Delay before the first streamed chunk arrives from runtime: 291 ms
Time to first token How fast the model starts responding — lower is better: 291 ms
Load time Time to load the model into memory before inference: 4.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 8.8 GB (14%)
Total tokens Total number of tokens generated across all benchmark prompts: 1017

Score breakdown

Speed

34/50

Time to first token

20/20

Memory

21/30

Quality

Reasoning

14/20

Coding

15/20

Instruction following

14/20

Structured output

15/15

Math

10/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.6
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 9d95838842322b00139eeec572156ef2e3f142b5c162c4f41f38b1d080751483

Interpretation

Hardware fit: 75/100. Overall suitability: GOOD (Global 77/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Swap delta: +0.0 GB CPU load: avg 26% (peak 37%)

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