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National Supercomputing Internet Adds DeepSeek-V4-Flash Official API

Summarized by NextFin AI
  • DeepSeek-V4-Flash API was officially synchronized and opened for public beta on August 3, allowing users to access model services via the National Supercomputing Internet.
  • The DeepSeek-V4-Flash-0731 release features a mixture-of-experts architecture with 284 billion parameters, significantly enhancing agent capabilities and instruction following compared to earlier versions.
  • Benchmark scores on agent-oriented suites, like Terminal Bench 2.1, reached 82.7, outperforming the larger DeepSeek-V4-Pro preview, while API pricing remains competitive.
  • The National Supercomputing Internet hosts over 1,700 open-source models, facilitating the deployment of long-context and agentic applications for enterprises without local infrastructure needs.

NextFin News — The National Supercomputing Internet synchronized the official DeepSeek-V4-Flash API and model download service on August 3 as DeepSeek opened the formal version to public beta.

Users can access the API through the platform’s official website by selecting the model-service section under the homepage services menu, or download the model weights from the Supercomputing Internet AI community and complete fine-tuning, deployment and adaptation inside a trusted Notebook environment. The DeepSeek-V4-Flash-0731 release retains the same mixture-of-experts architecture of 284 billion total parameters with 13 billion activated per token and a one-million-token context window that characterized the earlier preview, yet extensive post-training has substantially strengthened agent capabilities and instruction following. Benchmark scores on agent-oriented suites, including Terminal Bench 2.1 at 82.7, now surpass those of the larger DeepSeek-V4-Pro preview while API pricing remains markedly lower than competing closed-source offerings.

The National Supercomputing Internet, China’s first 100,000-card-scale supercomputing-AI fusion resource pool, already hosts more than 1,700 domestic and international open-source large models. By integrating the newly stabilized DeepSeek-V4-Flash endpoint, the platform enables enterprises and developers to invoke the model without local infrastructure configuration, accelerating practical deployment of long-context and agentic applications across research and commercial workloads.

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Insights

What are the key features of the DeepSeek-V4-Flash API?

How does DeepSeek-V4-Flash differ from its predecessor, DeepSeek-V4-Pro?

What technical principles underpin the mixture-of-experts architecture in DeepSeek?

What are the current user feedback trends regarding DeepSeek-V4-Flash?

What recent updates have been made to the National Supercomputing Internet?

What are the potential future applications of the DeepSeek-V4-Flash API?

What challenges are associated with deploying the DeepSeek-V4-Flash API in commercial settings?

How does the pricing of DeepSeek-V4-Flash compare to other closed-source models?

What impact does the integration of DeepSeek-V4-Flash have on supercomputing resources in China?

What are some examples of applications using the DeepSeek-V4-Flash model?

What is the significance of the one-million-token context window in DeepSeek-V4-Flash?

What are the historical developments leading to the creation of the National Supercomputing Internet?

What benchmarks are used to evaluate the performance of DeepSeek-V4-Flash?

How has post-training improved the capabilities of DeepSeek-V4-Flash?

What limitations exist for users accessing the DeepSeek-V4-Flash API?

How does the DeepSeek-V4-Flash API support enterprise-level applications?

What role do open-source models play in the National Supercomputing Internet?

What future trends are expected in the supercomputing and AI fusion landscape?

What are the core controversies surrounding the use of AI in supercomputing?

How do benchmarking scores influence user adoption of AI models like DeepSeek?

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