qwen3-coder:30b

qwen3moe · 30.5B · Q4_K_M

ASUS (Intel Core™ Ultra 9 285K)

47 GB · Microsoft Windows 11 Pro 10.0.26200

Tested on March 5, 2026 · Submitted by abayaz61

Top 4% Compare

Global Score

90 /100

Excellent

Hardware Fit

96/100

Quality

87/100

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ollama pull qwen3-coder:30b

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GGUF versions & quantizations

Hardware

Machine: ASUS
CPU: Intel Core™ Ultra 9 285K
Cores: 24 total (24 perf)
Frequency: 3.7 GHz
RAM: 47 GB DDR5
GPU: NVIDIA GeForce RTX 5090, Intel(R) Graphics
OS: Microsoft Windows 11 Pro 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 207.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 513 ms
Time to first token How fast the model starts responding — lower is better: 513 ms
Load time Time to load the model into memory before inference: 4.9 s
Memory usage RAM consumed during inference — percentage of total system memory: 20.5 GB (43%)
Total tokens Total number of tokens generated across all benchmark prompts: 1008

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

26/30

Quality

Reasoning

16/20

Coding

19/20

Instruction following

16/20

Structured output

15/15

Math

11/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong 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: f6e1fd2c1e9e9fcd7ac13ae2b51fae37d4879bcd69aa7845d3e6c1559ab06eb9

Interpretation

Hardware fit: 96/100. Overall suitability: EXCELLENT (Global 90/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 11% (peak 14%)

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