ModelDeepSeek

DeepSeek launches faster DeepSeek-V4.1-Flash-1017

Original title: DeepSeek-V4.1-Flash-1017 Release

Plain language

What it is: DeepSeek released a new model version called DeepSeek-V4.1-Flash-1017. It completes tasks faster and has better performance than the previous version. The company also opened its Search and Fetch APIs to all users.
How it works: The model uses reinforcement learning with self-feedback to help build complete projects from scratch. The search tools run on the company's own search engine.
Where it is available: The new model is available on DeepSeek's website, app, and API, and is also released as open-source. The Search and Fetch APIs can be used directly or through tools like Claude Code and DeepSeek Harness.
Example: A user can use the model to build a web-based racing game or create 3D models.

What it is: DeepSeek launched DeepSeek-V4.1-Flash-1017, offering faster task completion, shorter outputs, and better benchmark performance. They also opened their Search and Fetch APIs to the public.
How it works: The model utilizes reinforcement learning with self-feedback for end-to-end project development. It is optimized for integrations like DeepSeek Harness, Tencent CodeBuddy, and WorkBuddy.
Where it is available: It is live on the DeepSeek website, app, and API, and is hosted on Hugging Face and ModelScope. The Search and Fetch APIs are available as endpoints and via server-side tools in Claude Code, Codex, and DeepSeek Harness.
Example: Developers can use the model to recreate the game Portal 2 using the Godot engine.

The headline and explanation on this page are based on DeepSeek's post. The full details are in the original.

DeepSeek-V4.1-Flash-1017 Release