Deploy the hybrid model with both fast response and deep reasoning modes - now production-ready on Together's infrastructureStarting today on Together AI, you can access DeepSeek-V3.1 — the hybrid model that supports both fast responses and deep reasoning modes through configurable chat templates. Choose non-thinking mode for speed or thinking mode for complex analysis.TL;DR:DeepSeek-V3.1 API on Together AI: Choose between fast responses and deep reasoning modes in one modelEfficiency breakthrough: Comparable quality to DeepSeek-R1 but significantly faster, making deep reasoning practical for productionBuilt-in agent support: Native code and search agent capabilities with specialized tool-calling workflows optimized for production use on Together's optimized infrastructureAvailable now on Together AI: Serverless APIs with enterprise reliability and fine-tuning capabilitiesHow the Hybrid Model WorksDeepSeek-V3.1 operates in two modes through configurable chat templates. You can select non-thinking mode for tasks requiring fast responses or thinking mode for problems needing step-by-step analysis.DeepSeek-V3.1's thinking mode achieves comparable answer quality to DeepSeek-R1 while responding significantly faster, making deep reasoning practical for production applications. ⚡ Non-Thinking Mode Fast responses for routine tasks Code completion, simple queries, API calls 🧠 Thinking Mode Deep reasoning for complex problems Debugging, analysis, multi-step workflows The model includes built-in support for code agents and search agents, with specialized formatting optimized for multi-turn tool-calling workflows. You control mode selection through the chat template configuration.Built on DeepSeek-V3.1-Base through substantial long-context extension training - 630B tokens for 32K context and 209B tokens for 128K context, ensuring robust performance across extended conversations and large codebases.Real Applications for Hybrid IntelligenceDeepSeek-V3.1's hybrid architecture delivers measurable improvements across established coding and agent tasks:💻 Code Agents⚡ Non-thinking: Generate API endpoints, write unit tests, fix syntax errors🧠 Thinking: Debug distributed system failures, architect microservices decomposition, design database migration strategies with zero-downtime requirements🔍 Search Agents⚡ Non-thinking: Basic fact lookup, simple database queries, standard search operations🧠 Thinking: Multi-step research across enterprise knowledge bases, correlate information from multiple data sources, design complex search workflows with filtering and analysis📄 Document Processing⚡ Non-thinking: Extract entities from contracts, classify document types, basic text parsing🧠 Thinking: Analyze multi-document compliance workflows, cross-reference contract terms with regulatory requirements, synthesize insights from large document collectionsThe hybrid model allows you to choose the appropriate cognitive mode for your task complexity, eliminating the need to route between different specialized models for these workflows.Performance Across Both Modes