DeepSeek-V3.2-ExpDeepSeek 
                        
                        
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            Hunyuan-TurboSTencent 
                        
                        
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            About
            Introducing DeepSeek-V3.2-Exp, our latest experimental model built on V3.1-Terminus, debuting DeepSeek Sparse Attention (DSA) for faster and more efficient inference and training on long contexts. DSA enables fine-grained sparse attention with minimal loss in output quality, boosting performance for long-context tasks while reducing compute costs. Benchmarks indicate that V3.2-Exp performs on par with V3.1-Terminus despite these efficiency gains. The model is now live across app, web, and API. Alongside this, the DeepSeek API prices have been cut by over 50% immediately to make access more affordable. For a transitional period, users can still access V3.1-Terminus via a temporary API endpoint until October 15, 2025. DeepSeek welcomes feedback on DSA via its feedback portal. In conjunction with the release, DeepSeek-V3.2-Exp has been open-sourced: the model weights and supporting technology (including key GPU kernels in TileLang and CUDA) are available on Hugging Face.
             
            
        
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            About
            Tencent's Hunyuan-TurboS is a next-generation AI model designed to offer rapid responses and outstanding performance in various domains such as knowledge, mathematics, and creative tasks. Unlike previous models that require "slow thinking," Hunyuan-TurboS enhances response speed, doubling word output speed and reducing first-word latency by 44%. Through innovative architecture, it provides superior performance while lowering deployment costs. This model combines fast thinking (intuition-based responses) with slow thinking (logical analysis), ensuring quicker, more accurate solutions across diverse scenarios. Hunyuan-TurboS excels in benchmarks, competing with leading models like GPT-4 and DeepSeek V3, making it a breakthrough in AI-driven performance.
             
            
        
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        Audience
        Researchers and AI engineers looking for a solution providing a model that performs well on long-context tasks with reduced compute cost
         
        
    
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        Audience
        AI researchers, developers, and enterprises seeking a high-performance, cost-effective AI model for applications that require both speed and in-depth analysis across multiple domains
         
        
    
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        Company InformationDeepSeek 
    
    Founded: 2023 
    
    China 
    api-docs.deepseek.com/news/news250929 
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        Company InformationTencent 
    
    Founded: 1998 
    
    China 
    github.com/Tencent/llm.hunyuan.turbo-s 
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