Qwen3-Coder-30B:30B

qwen3moe · 30.5B · Q4_K_M

GMKtec NucBox EVO-T2S (Intel Core™ Ultra X7 358H)

64 GB · Microsoft Windows 11 Pro 10.0.26200

Tested on August 18, 2026 · Submitted by Haval

Top 13% Compare

Global Score

88 /100

Excellent

Hardware Fit

91/100

Quality

87/100

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ollama pull Qwen3-Coder-30B:30B

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ollama.com/library/Qwen3-Coder-30B

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GGUF versions & quantizations

Hardware

Machine: GMKtec NucBox EVO-T2S
CPU: Intel Core™ Ultra X7 358H
Cores: 16 total (16 perf)
Frequency: 1.9 GHz
RAM: 64 GB LPDDR5
GPU: Intel(R) Arc(TM) B390 GPU
OS: Microsoft Windows 11 Pro 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 32.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.6
First chunk latency Delay before the first streamed chunk arrives from runtime: 540 ms
Time to first token How fast the model starts responding — lower is better: 540 ms
Load time Time to load the model into memory before inference: 15.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 17.7 GB (28%)
Total tokens Total number of tokens generated across all benchmark prompts: 1013

Score breakdown

Speed

41/50

Time to first token

20/20

Memory

30/30

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: Strong Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.9
Model format: GGUF
Hardware profile: HIGH-END
Result hash: d59bcb44606b037774bd694c6e79480ad137929c3a56ac5d61f3c219e697dbca

Interpretation

Hardware fit: 91/100. Overall suitability: EXCELLENT (Global 88/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

CPU load: avg 50% (peak 51%)

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