qwen3-30b-a3b-t16-c32k-instruct:latest

qwen3moe · 30.5B · Q4_K_M

Dell Inc. Precision Tower 7910 (Intel Xeon® E5-2637 v3)

96 GB · Microsoft Windows 10 Pro 10.0.19045

Tested on August 18, 2026 · Submitted by Csaba

Top 2% Compare

Global Score

93 /100

Excellent

Hardware Fit

97/100

Quality

91/100

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Ollama

ollama pull qwen3-30b-a3b-t16-c32k-instruct:latest

View on Ollama Library

ollama.com/library/qwen3-30b-a3b-t16-c32k-instruct

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GGUF versions & quantizations

Hardware

Machine: Dell Inc. Precision Tower 7910
CPU: Intel Xeon® E5-2637 v3
Cores: 16 total (16 perf)
Frequency: 3.5 GHz
RAM: 96 GB DDR4
GPU: NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3060
OS: Microsoft Windows 10 Pro 10.0.19045
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 100.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±27.5
First chunk latency Delay before the first streamed chunk arrives from runtime: 1.3 s
Time to first token How fast the model starts responding — lower is better: 1.3 s
Load time Time to load the model into memory before inference: 23.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 21.0 GB (22%)
Total tokens Total number of tokens generated across all benchmark prompts: 965

Score breakdown

Speed

50/50

Time to first token

17/20

Memory

30/30

Quality

Reasoning

17/20

Coding

19/20

Instruction following

16/20

Structured output

15/15

Math

14/15

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 0.32.1
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 59409caec54acbc0db00afe0481cea9a839be3dc416d2f06da149af1ade48952

Interpretation

Hardware fit: 97/100. Overall suitability: EXCELLENT (Global 93/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

CPU load: avg 17% (peak 22%)

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$ npm install -g metrillm@latest

$ metrillm

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Or run without installing: npx metrillm@latest