qwen3.5:4b

qwen35 · 4.2B · Q4_K_M

Microsoft WSL (AMD Ryzen 5 5500)

8 GB · Ubuntu 26.04.1 LTS

Tested on October 12, 2026 · Submitted by john_yuki

Top 37% Compare

Global Score

81 /100

Excellent

Hardware Fit

98/100

Quality

74/100

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ollama pull qwen3.5:4b

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ollama.com/library/qwen3.5

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GGUF versions & quantizations

Hardware

Machine: Microsoft WSL
CPU: AMD Ryzen 5 5500
Cores: 12 threads (6 cores)
RAM: 8 GB
GPU: Integrated / Unknown
OS: Ubuntu 26.04.1 LTS
Arch: x64

Performance

Tokens/sec Tokens generated per second — higher is better: 93.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 249 ms
Time to first token How fast the model starts responding — lower is better: 249 ms
Load time Time to load the model into memory before inference: 10.1 s
Memory usage RAM consumed during inference — percentage of total system memory: 2.9 GB (38%)
Total tokens Total number of tokens generated across all benchmark prompts: 1137

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

28/30

Quality

Reasoning

15/20

Coding

13/20

Instruction following

15/20

Structured output

15/15

Math

7/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.34.0
Model format: GGUF
Hardware profile: ENTRY
Result hash: c8f4de25226edcc2b18f0fedbf9173a15a9fe5aac3b2dd2011cd79ced54cf292

Interpretation

Hardware fit: 98/100. Overall suitability: EXCELLENT (Global 81/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Bench Environment

CPU load: avg 31% (peak 32%)

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