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DeepSeek Tests New Model DeepSeek V4.1 Flash

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88Z AI, 8 September — DeepSeek has announced the internal testing of the intermediate version of DeepSeek V4.1 Flash. Featuring a new architecture with native multimodal support, the model offers enhanced capabilities, faster speed, and lower costs. Developers can access it by updating the model name while keeping the original base URL. Billing matches DeepSeek V4 Flash, with a limit of 20 concurrent requests per account. The model will automatically expire on September 10.

At a glance

  • DeepSeek V4.1 Flash intermediate version enters internal testing with native multimodal support and lower costs
  • Developers can access by changing the model name, with a 20-concurrency limit per account and automatic expiration on September 10
Cover image for DeepSeek Tests New Model DeepSeek V4.1 Flash
Cover image for DeepSeek Tests New Model DeepSeek V4.1 Flash

The update

DeepSeek has officially launched the internal testing for the intermediate version of DeepSeek V4.1 Flash. This new release utilizes a novel model architecture that natively supports multimodal functions. It delivers significant optimizations in overall capability, response speed, and cost efficiency, achieving stronger performance, faster processing, and lower expenses. For developers, integration is straightforward. There is no need to change the existing base URL; simply setting the model name to the specified value allows for immediate access. Billing for this model follows the exact same standards as DeepSeek V4 Flash. Please note that each account is limited to 20 concurrent requests, and this test model will automatically cease service and expire on September 10.

Sources & editorial note

This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.

  1. 智东西Source published

Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.

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