Qwen Qwen3 30B A3B Instruct 2507, developed by Alibaba Qwen, features 3.3B parameters, MoE architecture and 262k-token context window. Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and agentic tool use. Post-trained on instruction data, it demonstrates competitive performance across reasoning (AIME, ZebraLogic), coding (MultiPL-E, LiveCodeBench), and alignment (IFEval, WritingBench) benchmarks. It outperforms its non-instruct variant on subjective and open-ended tasks while retaining strong factual and coding performance. Priced affordably at $0.08/1M tokens.
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Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Qwen Model Timeline
262k tokens context
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Specifications
AI Evaluation
Optimized for programming tasks, this model excels at code generation, debugging, and software engineering workflows with solid benchmark performance.
Pros
- Budget-friendly at $0.08/1M tokens
- 262k token context window
- Lightweight and efficient
- Strong code generation and debugging
Cons
- Limited depth on complex topics
- May lack creative flair
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