DeepSeek V3.1 is the latest open source large language model released by Chinese AI company DeepSeek (DeepSeek) on August 19, 2025. This is an incremental upgrade version based on the original DeepSeek V3, with main improvements including expanded context window and enhanced reasoning capabilities.
Access DeepSeek V3.1 through multiple platforms and services
Official Platform
Official channel, only requires Chinese phone number for registration, high usage volume, may have unstable service
HuggingFace Space
Use DeepSeek V3.1 online for free via HuggingFace Space, while supporting the use of your own API key
Our Platform
On our platform, use DeepSeek V3.1 & DeepSeek-V3 671B full-blood version online for free.
API Integration
Integrate DeepSeek V3.1's API into your applications. Register with phone number to get 14 yuan free credit
Local Deployment
Access model weights and source code on GitHub for self-deployment
API Documentation
View complete API documentation, integration guides and sample code
DeepSeek V3.1 is a revolutionary AI model with important upgrades based on the original V3. It has 671B total parameters, 37B activated parameters per token, supports 128K context length, and integrates deep reasoning capabilities directly into the main model.
V3.1 shows significant improvements in mathematical reasoning, frontend programming, Chinese writing, etc., without requiring manual switching of reasoning modes, providing a more unified and seamless user experience. The model is particularly suitable for long document analysis, code development, educational tutoring, and other application scenarios.
Explore the innovative capabilities that make DeepSeek V3.1 the leader of the latest open source AI models
Supports context input up to 128K tokens, efficiently processing long documents, multi-turn conversations, and large codebases.
Integrates deep reasoning capabilities directly into the main model without manual switching, automatically determining whether to initiate the thinking process.
Significant improvements in mathematical reasoning, frontend programming, Chinese writing, etc., generating more beautiful and executable code.
Features 671B total parameters with 37B activated parameters per token, based on innovative Mixture-of-Experts architecture.
Supports 100+ languages, particularly excelling in Asian and minority languages, suitable for global use.
Adopts MIT license, completely open model weights and technical reports, supporting commercial use and modification.
See how researchers and developers are leveraging DeepSeek V3.1's capabilities
Excels in complex reasoning and code generation
Provides optimal balance between cost and performance
Important contribution to open source ecosystem and academic research
The new version supports context input up to 128K tokens, efficiently processing long documents, multi-turn conversations, and large codebases.
V3.1 has longer context and reasoning capabilities are also integrated into the main model. Compared to V3, structured output is better, table/list generation capabilities are stronger; compared to R1, it's more general-purpose and responds faster, suitable for regular scenarios.
V3.1 has optimized the accuracy of generated content, showing significant improvement compared to older versions, but still requires manual review of important conclusions.
Supports 100+ languages, particularly excelling in Asian and minority languages, suitable for global use.
Suitable for frontend development, scientific reasoning, paper writing, educational tutoring, and other complex scenarios.
Supports online recharge via Alipay and WeChat (enterprises can make corporate transfers), account balance doesn't expire, invoice issuance cycle is about 7 working days.
No hard concurrent limit at user level, system will dynamically throttle based on current load. If you encounter 503 or 429 errors, it may be automatic throttling during peak periods.
Web version uses default streaming output (displaying while generating), API defaults to non-streaming (returning content after generation is complete), users can manually set API to support streaming for optimized experience.
Official recommendation is to use appropriate tools/scripts for offline statistics, convenient for calculation and cost management.
Most users believe coding and reasoning capabilities have improved significantly, generated results are more structured; some users feedback that the model style is more 'academic' and less 'natural' than older versions. Occasionally there are server load issues causing response delays, and occasional output hallucination phenomena.