qwen3.5:35b-a3b

qwen35moe · 36.0B · Q4_K_M

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on March 22, 2026

Top 5% Compare

Global Score

88 /100

Excellent

Hardware Fit

90/100

Quality

87/100

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Ollama

ollama pull qwen3.5:35b-a3b

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ollama.com/library/qwen3.5

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GGUF versions & quantizations

Hardware

Machine: AZW GTR Pro
CPU: AMD RYZEN AI MAX+ 395
Cores: 32 threads (16 cores)
Frequency: 3 GHz
RAM: 125 GB
GPU: Radeon 8060S
OS: Ubuntu 24.04.4 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 42.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 243 ms
Time to first token How fast the model starts responding — lower is better: 243 ms
Load time Time to load the model into memory before inference: 9.7 s
Memory usage RAM consumed during inference — percentage of total system memory: 32.1 GB (26%)
Total tokens Total number of tokens generated across all benchmark prompts: 1030

Score breakdown

Speed

40/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

17/20

Coding

19/20

Instruction following

15/20

Structured output

15/15

Math

11/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: HIGH-END
Result hash: f534f552e23f80147e39cddaed6c7dd745c86f02774c49853daf4000810ccea5

Interpretation

Hardware fit: 90/100. Overall suitability: EXCELLENT (Global 88/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 3% (peak 4%)

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