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What is DeepSeek-V3.1-Terminus?

DeepSeek has introduced DeepSeek-V3.1-Terminus, an enhanced version of the V3.1 architecture that incorporates user feedback to improve output reliability, uniformity, and overall performance of the agent. This upgrade notably reduces the frequency of mixed Chinese and English text as well as unintended anomalies, resulting in a more polished and cohesive language generation experience. Furthermore, the update overhauls both the code agent and search agent subsystems, yielding better and more consistent performance across a range of benchmarks. DeepSeek-V3.1-Terminus is released as an open-source model, with its weights made available on Hugging Face, thereby facilitating easier access for the community to utilize its functionalities. The model's architecture stays consistent with that of DeepSeek-V3, ensuring compatibility with existing deployment strategies, while updated inference demonstrations are provided for users to investigate its capabilities. Impressively, the model functions at a massive scale of 685 billion parameters and accommodates various tensor formats, such as FP8, BF16, and F32, which enhances its adaptability in diverse environments. This versatility empowers developers to select the most appropriate format tailored to their specific requirements and resource limitations, thereby optimizing performance in their respective applications.

What is DeepSeek V3.1?

DeepSeek V3.1 emerges as a groundbreaking open-weight large language model, featuring an astounding 685-billion parameters and an extensive 128,000-token context window that enables it to process lengthy documents similar to 400-page novels in a single run. This model encompasses integrated capabilities for conversation, reasoning, and code generation within a unified hybrid framework that effectively blends these varied functionalities. Additionally, V3.1 supports multiple tensor formats, allowing developers to optimize performance across different hardware configurations. Initial benchmark tests indicate impressive outcomes, with a notable score of 71.6% on the Aider coding benchmark, placing it on par with or even outperforming competitors like Claude Opus 4, all while maintaining a significantly lower cost. Launched under an open-source license on Hugging Face with minimal promotion, DeepSeek V3.1 aims to transform the availability of advanced AI solutions, potentially challenging the traditional landscape dominated by proprietary models. The model's innovative features and affordability are likely to attract a diverse array of developers eager to implement state-of-the-art AI technologies in their applications, thus fostering a new wave of creativity and efficiency in the tech industry.

Media

Media

Integrations Supported

Hugging Face
Aider
EaseMate AI
ModelArk

Integrations Supported

Hugging Face
Aider
EaseMate AI
ModelArk

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

api-docs.deepseek.com/news/news250922

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.ai/blog/deepseek-v31

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Categories and Features

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