DeepSeek Releases V4.1-Flash: A Faster and More Powerful LLM
DeepSeek has introduced a new, improved model, DeepSeek-V4.1-Flash-1017. This is a significant Pareto improvement that provides higher performance on benchmarks, faster task execution, while maintaining low cost compared to previous iterations.
The model is available to a wide range of users via API, website, and application, and is also optimized for popular tools such as DeepSeekHarness and Tencent CodeBuddy.
Furthermore, DeepSeek has expanded the model's functionality, allowing it to create entire projects from scratch—from game development to 3D modeling—using reinforcement learning and self-attention methods. A public API for searching and retrieving data has also been launched, making the model even more versatile.
Why it matters
- —The model represents a Pareto improvement, meaning increased performance at a reduced cost.
- —Expanded functionality to create full-fledged projects (games, 3D) from scratch.
- —The model is available in open source and has a public API for data retrieval.
Key facts
- The DeepSeek-V4.1-Flash-1017 model has been released with improved metrics.
- The model provides a Pareto improvement: higher performance and lower cost.
- DeepSeek-V4.1-Flash-1017 is capable of creating complete projects, including games and 3D models.
- A public API has been launched for searching and retrieving data at a cost of $0.75 per 1000 calls.
- The model is available in open source on Hugging Face and ModelScope.
The full text is in the original source. Here we provide a brief summary and key facts.