Qwen3 30B A3B
Qwen3 30B A3B is a mid-range mixture-of-experts model from Alibaba with 30 billion total parameters and only 3 billion active per token. This design delivers notably lower inference latency and cost than the 235B variant while retaining strong instruction-following and reasoning across general tasks.
It is well suited for deployments where throughput and cost matter — such as batch summarization, chatbot APIs, or on-premises inference on multi-GPU setups. Despite its efficient footprint, Qwen3 30B A3B outperforms many dense models of comparable active-parameter counts on standard benchmarks.
Key Features
30B total / 3B active MoE for low-latency inference
Competitive reasoning at reduced compute cost
Multilingual text generation and understanding
Instruction-tuned for dialogue and task completion
Suitable for high-throughput API deployment
Ideal Use Cases
Cost-conscious chatbot and assistant backends
Batch document classification and summarization
Internal knowledge-base Q&A systems
On-premises multi-GPU inference deployments
Prototyping before scaling to larger models
Example Prompts for Qwen3 30B A3B
Technical Specifications
| Provider | Alibaba |
| Category | Text |
| Modality | Text -> Text |
| Context Window | 128K tokens |
Frequently Asked Questions
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