sophnet/DeepSeek-V3.2

DeepSeek-V3.2 is the flagship open-source general-purpose language model launched by DeepSeek (DeepSeek). Its core positioning is to deliver exceptional performance—surpassing 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. 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 benchmarks, including MMLU and MATH-500. Its inference and coding capabilities rank among the best, 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.
• Efficient inference: Leveraging FP8 quantization technology and extreme matrix multiplication (GEMM) optimizations, it delivers lightning-fast inference speeds and supports smooth interactions even in high-concurrency scenarios.
• Multi-language capabilities: It excels particularly in Chinese and English tasks, while also demonstrating strong multilingual understanding and generation abilities, making it well-suited for globalized application scenarios.

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Core Capabilities

⚡ Extreme Matrix Optimization

Based on FP8 and GEMM, this model achieves extreme inference optimization. Through deep refinement of underlying operators, it attains exceptionally 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. While maintaining an enormous model capacity, it only activates a small number of experts to complete tasks, 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. It boasts top-notch logical reasoning and coding abilities, delivering high-quality solutions whether tackling complex mathematical proofs or full-stack software development.