DeepSeek-V3.1: Hybrid Thinking Model Now Available on Together AI

What this post added

Introduces DeepSeek-V3.1, a hybrid LLM with configurable modes for fast responses (non-thinking) and deep reasoning (thinking). Details performance benchmarks for both modes, highlighting improvements in complex tasks with thinking mode. Describes built-in agent support (code and search) with optimized tool-calling workflows. Mentions extended context training (32K and 128K tokens). Outlines production deployment on Together AI infrastructure, including technical specs (671B total parameters, 37B active per token, 128K context, MIT license) and infrastructure guarantees (99.9% uptime SLA, SOC 2 compliant). Provides Python SDK example for integration and links to playground and documentation.