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 7% Compare

Global Score

85 /100

Excellent

Hardware Fit

96/100

Quality

80/100

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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 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: 88.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.5
First chunk latency Delay before the first streamed chunk arrives from runtime: 306 ms
Time to first token How fast the model starts responding — lower is better: 306 ms
Load time Time to load the model into memory before inference: 7.0 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

26/30

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: f00b2c2b1f21a9251d711905f7173deb81b95a75e1677379342bc8b8079dabe4

Interpretation

Hardware fit: 96/100. Overall suitability: EXCELLENT (Global 85/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 16% (peak 24%)

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