DeepSeek-V3.1
A hybrid model that can switch between fast answers and step-by-step reasoning.
Overview
DeepSeek-V3.1 is a hybrid model that can switch between fast, direct answers and step-by-step reasoning, combining the strengths of DeepSeek-V3 and R1. It keeps the same 671B-parameter mixture-of-experts design and adds better tool use for agent workflows. It's released under the MIT licence.
| Weights | Open |
|---|---|
| Parameters | 671B total, 37B active (mixture of experts) |
| Context window | 128K tokens |
| Licence | MIT |
| Commercial use | Yes |
LLM hosts that offer DeepSeek-V3.1
All hosts →| LLM host | Hosting plan | Hosting type | Pricing |
|---|---|---|---|
| Amazon AWS | Amazon EC2 | GPU cloud | From US$0.526Per GPU-hour, Reserved or committed capacity |
| Amazon AWS | Amazon Bedrock | Serverless API | From US$0.04Pay per token, Reserved or committed capacity |
| Amazon AWS | Amazon SageMaker | Dedicated endpoint | From US$0.736Per GPU-hour, Reserved or committed capacity |
| Google Cloud | Model Garden | Serverless API | From US$0.07Pay per token, Per GPU-hour |
| Google Cloud | Google Kubernetes Engine (GKE) | GPU cloud | From US$0.35Per GPU-hour, Reserved or committed capacity |
| Google Cloud | Compute Engine | GPU cloud | From US$0.35Per GPU-hour, Reserved or committed capacity |
| Microsoft Azure | Azure Machine Learning | Dedicated endpoint | From US$0.526Per GPU-hour, Reserved or committed capacity |
| Microsoft Azure | Azure Kubernetes Service (AKS) | GPU cloud | From US$0.526Per GPU-hour, Reserved or committed capacity |
| Microsoft Azure | Azure GPU Virtual Machines | GPU cloud | From US$0.526Per GPU-hour, Reserved or committed capacity |