
deepseek/deepseek-v3.2
API Overview
DeepSeek-V3.2 is the flagship open-source general-purpose language model launched by DeepSeek (DeepSeek), with a core focus on delivering exceptional performance—surpassing comparable dense models—while maintaining extremely low inference costs through state-of-the-art matrix multiplication optimization and a multi-expert mixture-of-experts (MoE) architecture.
- Outstanding cost-effectiveness: Open-sourced under the MIT License, with fully public weights, allowing commercial use. 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 such as MMLU and MATH-500, achieving top-level 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.
- Efficient inference: Leveraging FP8 quantization technology and extreme matrix multiplication (GEMM) optimizations, it delivers ultra-fast inference speeds, supporting smooth interactions even in high-concurrency scenarios.
- Multi-language capabilities: Particularly outstanding 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
Extreme 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 power.
🧠 Powerful Mixture-of-Experts
Adopting a 2.168T MoE architecture with up to 416B activated parameters, it maintains enormous model capacity while requiring only a small number of experts to be activated 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. Equipped with top-notch logical reasoning and coding capabilities, it can deliver high-quality solutions whether tackling complex mathematical proofs or full-stack software development.
Playground
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