qwen3.5:122b-a10b

qwen35moe · 125.1B · Q4_K_M

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on March 12, 2026

Top 18% Compare

Global Score

80 /100

Excellent

Hardware Fit

52/100

Quality

92/100

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Ollama

ollama pull qwen3.5:122b-a10b

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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: 19.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 467 ms
Time to first token How fast the model starts responding — lower is better: 467 ms
Load time Time to load the model into memory before inference: 30.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 89.3 GB (72%)
Total tokens Total number of tokens generated across all benchmark prompts: 1043

Score breakdown

Speed

18/50

Time to first token

20/20

Memory

14/30

Quality

Reasoning

19/20

Coding

19/20

Instruction following

16/20

Structured output

15/15

Math

13/15

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: 0062b98b89386c47aad21312cee11e9e46207bda4fca4773723759455a4bc856

Interpretation

Hardware fit: 52/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Thermal: nominal Swap delta: +0.3 GB CPU load: avg 3% (peak 3%)

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$ metrillm

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Or run without installing: npx metrillm@latest