China’s National Supercomputing Internet has rolled out API access and model files for the official release of DeepSeek-V4-Flash, identified as DeepSeek-V4-Flash-0731. The service is now available for one-click integration and rapid deployment, according to monitoring cited by Dongcha Beating.
The model was introduced as having gone through extensive post-training work, with major gains in agent capabilities and instruction-following performance. The release note also said that, across multiple benchmark tests, the official version of DeepSeek-V4-Flash can perform on par with the strongest closed-source models currently available.
The update also highlights the broader scale of the platform’s AI ecosystem. China’s Supercomputing Internet AI community has now gathered more than 1,700 popular open-source large models, spanning major families including DeepSeek, GLM, Qwen, and Kimi. The platform has also made API interfaces broadly available for several domestic open-source models, including DeepSeek-V4, MiniMax-M3, and Kimi-K3.
China’s National Supercomputing Internet has officially launched API calling services and model files for the formal release of DeepSeek-V4-Flash, listed as DeepSeek-V4-Flash-0731.
The platform said users can access the model through one-click integration and call it quickly. According to the introduction provided with the release, DeepSeek-V4-Flash-0731 went through extensive post-training work, with agent capabilities significantly improved. Its instruction-following ability was also described as seeing a major lift.
Benchmark results and model coverage
In multiple benchmark tests, the official version of DeepSeek-V4-Flash was said to deliver performance comparable to the strongest closed-source models currently available.
At the same time, the China Supercomputing Internet AI community has accumulated more than 1,700 popular open-source large models. The lineup covers major model families including DeepSeek, GLM, Qwen, and Kimi. The platform has also broadly launched API interfaces for several domestic open-source models, including DeepSeek-V4, MiniMax-M3, and Kimi-K3.
The update was flagged by Dongcha Beating monitoring.
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