Digital Event Horizon
Revolutionizing AI Inference: DeepSeek-V3.1 Hybrid Model Now Available on Together AI
DeepSeek-V3.1 has launched its serverless API and dedicated endpoints on Together AI's platform. The model offers flexibility, scalability, and performance in artificial intelligence (AI) inference. DeepSeek-V3.1 boasts an expanded capacity to handle extended conversations and large codebases with remarkable robustness. The hybrid architecture allows users to choose between non-thinking mode for fast responses and thinking mode for deep reasoning capabilities. The model has far-reaching implications for various applications, including coding, agent tasks, search agents, and document processing. DeepSeek-V3.1 has demonstrated exceptional performance in non-thinking mode with a 91.8% accuracy rate in the MMLU-Redux benchmark.
DeepSeek-V3.1, a groundbreaking hybrid thinking model developed by the pioneering team at Together AI, has officially launched its serverless API and dedicated endpoints on the platform. This monumental milestone marks a significant breakthrough in artificial intelligence (AI) inference, offering developers unparalleled flexibility, scalability, and performance.
The DeepSeek-V3.1 model is built upon the foundation of its predecessor, DeepSeek-R1, with substantial long-context extension training that has expanded its capacity to 630B tokens for 32K context and 209B tokens for 128K context. This impressive augmentation enables the model to handle extended conversations and large codebases with remarkable robustness.
One of the most striking aspects of DeepSeek-V3.1 is its hybrid architecture, which empowers users to choose between two distinct cognitive modes: non-thinking mode and thinking mode. Non-thinking mode excels in routine tasks that require fast responses, such as code completion, simple queries, and API calls. Conversely, thinking mode delivers deep reasoning capabilities for complex problems, including debugging, analysis, and multi-step workflows.
This hybrid approach has far-reaching implications for a wide range of applications, from coding and agent tasks to search agents, document processing, and more. By harnessing the power of both modes, developers can streamline their workflow, increase productivity, and unlock new possibilities for AI-driven innovation.
The DeepSeek-V3.1 model's performance has been extensively benchmarked across various metrics, showcasing its exceptional capabilities in non-thinking mode and impressive improvements in thinking mode. For instance, in the MMLU-Redux benchmark, DeepSeek-V3.1 demonstrated a 91.8% accuracy rate for non-thinking mode, while achieving a comparable answer quality to DeepSeek-R1 with a response time that is significantly faster.
Together AI's optimized infrastructure has been specifically designed to support large mixture-of-experts models like DeepSeek-V3.1, ensuring seamless performance under production workloads. The platform's serverless scaling, 99.9% uptime SLA, and SOC 2 compliance guarantee provide developers with the peace of mind they need to deploy their AI applications with confidence.
To facilitate widespread adoption and simplify integration, Together AI has provided a Python SDK for quickly deploying DeepSeek-V3.1 into existing applications. Developers can also access an interactive playground to test complex workflows before production and explore API documentation that includes integration guides and examples.
With its revolutionary hybrid thinking model now available on Together AI, developers are empowered to unlock new frontiers in AI-driven innovation. By harnessing the power of DeepSeek-V3.1, they can accelerate their workflow, boost productivity, and push the boundaries of what is possible with AI.
Related Information:
https://www.digitaleventhorizon.com/articles/Revolutionizing-AI-Inference-DeepSeek-V31-Hybrid-Model-Now-Available-on-Together-AI-deh.shtml
https://www.together.ai/blog/deepseek-v3-1-hybrid-thinking-model-now-available-on-together-ai
Published: Tue Aug 26 02:39:49 2025 by llama3.2 3B Q4_K_M
