Qwen/Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 is a super-large-scale Mixture-of-Experts (MoE) instruction-tuned language model released by Alibaba’s Tongyi Lab. Its core positioning is as a flagship AI foundation model featuring “top-tier general capabilities + enterprise-grade reliability.”

• Ultra-large MoE architecture: With a total of 235 billion parameters, yet activating only 22 billion parameters, it achieves leading performance among open-source models in authoritative benchmarks such as MMLU, C-Eval, GSM8K, and HumanEval.
• 128K ultra-long context: Natively supports long-text inputs, making it suitable for advanced tasks such as complex document analysis, multi-turn deep conversations, and cross-paragraph reasoning.
• Extremely optimized instruction following: Fine-tuned based on high-quality human preference data, accurately responding to fine-grained instruction requirements regarding format, style, and multiple constraints.
• Multi-language and code enhancement: Deeply optimized for understanding Chinese contexts while supporting dozens of languages including English, Japanese, French, and mainstream programming languages for code generation.

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Core Capabilities

🧠 Expert-level comprehensive reasoning: Demonstrates expert-like logical chains in complex tasks such as mathematical proofs, technical proposal writing, and legal clause interpretation.

⚡ High-throughput, low-latency service: The MoE architecture strikes a balance between high performance and cost-effectiveness, enabling a single GPU to support highly concurrent enterprise-grade API services.

🌍 Globalized content generation: Produces natural, fluent outputs that take cultural adaptation and specialized terminology into account, making it ideal for international business and localized scenarios.

🛡️ Secure, compliant, and controllable: Supports private deployment, content filtering, sensitive word interception, and audit logs, meeting the stringent regulatory requirements of industries such as finance, government, and healthcare.