qwen3-30b-a3b-instruct-2507

Qwen3-30B-A3B-Instruct-2507 is an efficient mixture-of-experts (MoE) instruction-tuned language model released by Alibaba’s Tongyi Lab. Its core positioning is as a high-performance, cost-effective, enterprise-grade general-purpose reasoning powerhouse characterized by “small activation, great capability, and high cost-effectiveness.”

• Exquisite MoE Architecture: With a total parameter count of approximately 30 billion, it activates only 3 billion parameters (A3B), significantly reducing computational costs and inference latency while maintaining powerful overall capabilities.
• Ultra-long Context of 128K Tokens: Natively supports ultra-long text inputs, making it ideal for scenarios such as long-document summarization, multi-turn complex dialogues, and cross-paragraph information integration.
• Deeply Optimized Instruction Following: Fine-tuned with high-quality human preference data, it delivers precise and reliable performance in format control, style imitation, and multi-constraint tasks.
• Well-Balanced Multilingual and Code Capabilities: It strengthens Chinese context understanding while supporting mainstream languages including English, Japanese, and French, as well as programming languages such as Python and JavaScript.

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Core Capabilities

⚡ Ultimate Energy Efficiency: With resource consumption comparable to that of a 7-billion-parameter dense model, it achieves language understanding and generation capabilities at the 30-billion-parameter level, delivering higher output per unit of computing power. 🧠 Stable Task Execution: It excels in benchmarks such as C-Eval, MMLU, and HumanEval, making it suitable for production environments with high requirements for determinism. 🌍 Natural Bilingual Expression in Chinese and English: Produces outputs that are authentic and fluent, balancing technical terminology with cultural context, ideal for content creation, intelligent customer service, office automation, and other applications. 🛡️ Enterprise Security and Compliance: Supports private deployment, content filtering, and audit logs, meeting regulatory requirements in industries such as finance, government, and education.