DeepSeek-V4.1-Flash-1017 is a new model release positioned as a direct upgrade: higher benchmark scores, faster task completion, and more concise outputs than its predecessor, framed as a Pareto improvement in both performance and cost. The model uses reinforcement learning with self-feedback to improve end-to-end project workflows, demonstrated on tasks ranging from game development to 3D modeling, and is tuned to produce shorter, more efficient responses for practical applications. It’s promoted as optimized for integrators and assistants such as DeepSeek Harness, Tencent CodeBuddy, and WorkBuddy, with a recommendation to run the model with DeepSeek Harness v0.2.1-rc.1 or later for best results.
The release also opens Search & Fetch APIs to everyone, backed by an in-house search engine that reportedly handles hundreds of millions of requests daily, with API pricing listed at $0.75 per 1,000 calls and documentation at api-docs.deepseek.com/guides/search. The model and related tooling are available through multiple distribution channels, including Hugging Face and ModelScope, enabling direct access and community use. Overall the announcement combines technical improvements, deployment recommendations, commercial API details, and open-source availability.
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