qwen3-coder:30b

qwen3moe · 30.5B · Q4_K_M

ASUS (Intel Gen Intel® Core™ i7-12700K)

96 GB · Microsoft Windows 11 Enterprise 10.0.26200

Tested on March 4, 2026 · Submitted by jopek

Top 18% Compare

Global Score

80 /100

Excellent

Hardware Fit

60/100

Quality

88/100

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ollama pull qwen3-coder:30b

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GGUF versions & quantizations

Hardware

Machine: ASUS
CPU: Intel Gen Intel® Core™ i7-12700K
Cores: 20 total (20 perf)
Frequency: 3.6 GHz
RAM: 96 GB DDR4
GPU: Parsec Virtual Display Adapter, NVIDIA GeForce RTX 2060
OS: Microsoft Windows 11 Enterprise 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 14.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 796 ms
Time to first token How fast the model starts responding — lower is better: 796 ms
Load time Time to load the model into memory before inference: 0.2 s
Memory usage RAM consumed during inference — percentage of total system memory: 17.9 GB (19%)
Total tokens Total number of tokens generated across all benchmark prompts: 1018

Score breakdown

Speed

14/50

Time to first token

19/20

Memory

27/30

Quality

Reasoning

17/20

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: 746101c0bd06853feacee0bd3f2d5a0fa1270341369ed1af125a3cc8aa9fef88

Interpretation

Hardware fit: 60/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 51% (peak 63%)

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