DeepSeek Adds Self-Feedback Learning to Its V4.1 Flash Model

Simon Yoon

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DeepSeek Adds Self-Feedback Learning to Its V4.1 Flash Model

DeepSeek has moved its website, app and API to V4.1-Flash-1017, designed for broader, open-ended coding requests.

By Simon Yoon

Published Oct 17, 2026, 8:56 AM EDT

A miniature game world with rough and refined terrain sections / TokenPost.ai (mono)

DeepSeek has revised V4.1 Flash with self-feedback reinforcement learning to improve performance on open-ended coding tasks, including building games and 3D models from scratch.

DeepSeek’s website, app and API have moved to version V4.1-Flash-1017. The update is intended to handle broader programming requests, including building complete projects.

The same rollout included a 77.0% DeepSWE v1.1 Pass@1 score, up from 74.2% for the September version, and Search and Fetch API access for developers.

Simon Yoon

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Simon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to info@tokenpost.com.