DeepSeek: deepseek-v3.2:free

DeepSeek-V3.2 is the definitive "Reasoning-First" multimodal foundation model, utilizing the third-generation Multi-head Latent Attention (MLA) and DeepSeek-MoE architecture. This version introduces the "Dynamic Token Pruning" technology, which reduces inference latency by 40% compared to V3.0 while maintaining top-tier coding and mathematical reasoning capabilities. V3.2 is natively multimodal, capable of processing interleaved text, high-resolution images, and long-form video inputs without separate vision encoders. In 2026, it is widely recognized as the most cost-effective "GPT-5 Class" model, offering open-source weights for researchers and a highly scalable API for global developers.