DeepSeek-V3.1-Terminus is the most recent refinement of the DeepSeek family — a hybrid, agent-oriented large language model (LLM) that DeepSeek positions as a bridge between traditional chat models and more capable agentic systems. Rather than a brand-new base network, Terminus is presented as a targeted service-pack style update to the V3.1 line that focuses on […]
DeepSeek-V3.1 is a hybrid “thinking / non-thinking” MoE language model (671B total, ≈37B activated per token) that can be run locally if you use the right provider/quantization and tooling. Below I explain what DeepSeek-V3.1 is, the hardware/software requirements, step-by-step local run tutorials (Ollama + llama.cpp examples), and how to deploy and use Thinking Mode (the […]
DeepSeek-V3.1 is a hybrid Mixture-of-Experts (MoE) chat model released by DeepSeek in August 2025 that supports two inference modes — a fast “non-thinking” mode and a deliberate “thinking” mode — from the same checkpoint. The model is available on Hugging Face and can be run locally via several paths (vLLM, Ollama/llama.cpp, Ollama-style GGUFs, or large-scale […]
DeepSeek-V3.1 is the latest hybrid reasoning model from DeepSeek that supports both a fast “non-thinking” chat mode and a more deliberate “thinking/reasoner” mode, offers long (up to 128K) context, structured outputs and function-calling, and can be accessed directly via DeepSeek’s OpenAI-compatible API, via an Anthropic-compatible endpoint, or through CometAPI. Below I walk you through what […]
DeepSeek-V3.1 is the newest upgrade in DeepSeek’s V-series: a hybrid “thinking / non-thinking” large language model aimed at high-throughput, low-cost general intelligence and agentic tool use. It keeps OpenAI-style API compatibility, adds smarter tool-calling, and—per the company—lands faster generation and improved agent reliability.
Model Type: Chat
On August 2025, Chinese AI startup DeepSeek announced the release of DeepSeek-V3.1, a mid-generation upgrade the company bills as its first step “toward the agent era.” The update brings a hybrid inference mode (a single model that can run in a “thinking” or “non-thinking” mode), a substantially longer context window, and targeted post-training improvements to […]
