The DeepSeek-V4-Flash API is now in public beta, accessible by setting the model name to deepseek-v4-flash.

Summary by gemma-4-12b. It may be wrong; the diff below is what actually changed. Raw: 54e529f54d-deepseek-news.diff · commit 54e529f54d

diff --git a/snapshots/deepseek/news.md b/snapshots/deepseek/news.mdindex 46de857..7d54460 100644--- a/snapshots/deepseek/news.md+++ b/snapshots/deepseek/news.md@@ -3,5 +3,5 @@ # Change Log -The official release of the DeepSeek-V4-Flash API is now in public beta.+The official release of the DeepSeek-V4-Flash API is now in public beta. The API calling method remains unchanged — simply set the model name to `deepseek-v4-flash` to use the latest version.  Significantly enhanced agent capabilities, with benchmark results far exceeding V4-Pro-Preview:@@ -19,5 +19,5 @@ Significantly enhanced agent capabilities, with benchmark results far exceeding Note 1: For the Code Agent tasks in the public benchmark sets, the official DeepSeek-V4-Flash was tested using the DeepSeek Harness minimal mode (to be released soon) as the framework, with the max effort level, topp=0.95, and temperature=1.0  Note 2: DSBench-FullStack is an internal full-stack development test set, and DSBench-Hard is an internal Coding Agent hard-problem test set -The official V4-Flash natively supports the Responses API format and is specifically adapted for Codex. For the specific configuration, please refer to the documentation.     DeepSeek-V4-Flash-0731 keeps the same model architecture and size as DeepSeek-V4-Flash-preview, and was only re-post-trained.     Note: This update only upgrades the DeepSeek-V4-Flash API. The DeepSeek-V4-Pro API and the APP/WEB models are unchanged.   The official release of DeepSeek-V4-Pro will follow soon.+The official V4-Flash natively supports the Responses API format and is specifically adapted for Codex. For the specific configuration, please refer to the documentation.     DeepSeek-V4-Flash-0731 keeps the same model architecture and size as DeepSeek-V4-Flash-Preview, and was only re-post-trained.     Note: This update only upgrades the DeepSeek-V4-Flash API. The DeepSeek-V4-Pro API and the APP/WEB models are unchanged.   The official release of DeepSeek-V4-Pro will follow soon.  The DeepSeek API now supports V4-Pro and V4-Flash, available via both the OpenAI ChatCompletions interface and the Anthropic interface. To access the new models, the base_url remains unchanged, and the model parameter should be set to `deepseek-v4-pro` or `deepseek-v4-flash`.

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