Pro/deepseek-ai/DeepSeek-V3.2

DeepSeek-V3.2 is the flagship open-source general-purpose language model launched by DeepSeek (DeepSeek), with a core focus on delivering exceptional performance that surpasses comparable dense models while maintaining extremely low inference costs, thanks to its state-of-the-art matrix multiplication optimization and multi-expert mixture-of-experts (MoE) architecture.

• Outstanding cost-effectiveness: Open-sourced under the MIT License, with fully public weights and commercial-use permissions. Its API call costs are exceptionally low, making it one of the most cost-efficient flagship models currently available on the market.
• Top-tier performance: It comprehensively outperforms Llama-3.1/3.2-405B in multiple benchmark tests, including MMLU and MATH-500, achieving top-notch inference and coding capabilities, with overall performance approaching that of GPT-4o.
• Ultra-large-scale architecture: Featuring a MoE architecture with 2.168 trillion total parameters and 416 billion activated parameters, it supports a context length of 256k, enabling it to handle massive amounts of information and complex tasks efficiently.
• High-efficiency inference: Leveraging FP8 quantization technology and extreme matrix multiplication (GEMM) optimizations, it delivers lightning-fast inference speeds, supporting smooth interactions even in high-concurrency scenarios.
• Multi-language capabilities: Particularly outstanding in Chinese and English tasks, it also boasts powerful multilingual understanding and generation abilities, making it well-suited for globalized application scenarios.

───────────────────────────────────────────────────────────────────

Core Capabilities

⚡ Extreme Matrix Optimization

State-of-the-art inference optimization based on FP8 and GEMM. Through deep refinement of underlying operators, it achieves extremely high computational density and throughput, enabling ultra-large-scale models to run efficiently even with limited computing resources.

🧠 Powerful Mixture-of-Experts

Adopting a 2.168T MoE architecture with up to 416B activated parameters, it maintains an enormous model capacity while requiring only a small number of experts to be activated for task completion, striking the perfect balance between "large model" and "low cost."

🌐 Superior Inference and Coding

It sets new SOTA records in MATH-500 and code-generation tasks. With top-tier logical reasoning and coding capabilities, it can deliver high-quality solutions whether tackling complex mathematical proofs or full-stack software development.