👁 Alibaba
Alibaba
Qwen 3 30B A3B
Frontier
Qwen 3 30B A3B (30.5B parameters) requires approximately 21.9 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 3.299999952316284B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 26 GB of VRAM.
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ollama run qwen3:30b-a3bQuick specs
About this model
- •Significant improvements: in general capabilities, including **instruction following, logical reasoning, text comprehension, mathematics, science,...
- •Substantial gains: in long-tail knowledge coverage across multiple languages
- •Markedly better alignment: with user preferences in subjective and open-ended tasks, enabling more helpful responses and higher-quality text...
- •Enhanced capabilities: in 256K long-context understanding
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.9 GB | Low | — |
Q3_K_S | 3 | 14.9 GB | Low | — |
NVFP4 | 4 | 17.1 GB | Medium | — |
Q4_K_M | 4 | 18.6 GB | Medium | — |
Q5_K_M | 5 | 22.0 GB | High | — |
Q6_K | 6 | 25.0 GB | High | — |
Q8_0 | 8 | 32.6 GB | Very High | — |
F16 | 16 | 62.5 GB | Maximum | — |
Quality benchmarks
Qwen 3 30B A3B benchmark scores
Coding
Reasoning
General
Source: official · 2025-07-14
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Frequently asked questions
FAQ — Qwen 3 30B A3B
See also