Search “DeepSeek”

Foreign Ministry responds to US demand to stop using DeepSeek

On October 20, 2026, Foreign Ministry spokesperson Mao Ning, responding at a regular press conference to reports that the US government has asked its agencies to stop using artificial intelligence tools from Chinese companies such as DeepSeek, said that China consistently opposes overgeneralizing the concept of national security and politicizing science, technology, and economic and trade issues, and will resolutely safeguard the legitimate rights and interests of Chinese companies. On the same day, reports said that the US Department of Homeland Security had ordered the removal of DeepSeek-related technology from most government systems and barred civilian government agencies from using DeepSeek and any technology built with its models; the reports said the ban took effect at the end of July and that agencies under the Department of Defense are not covered. Other reports said the order, based on the 2018 Federal Acquisition Supply Chain Security Act, requires civilian agencies to remove DeepSeek and related products from their information technology systems, as well as third-party products and services developed using DeepSeek, with exceptions requiring an application submitted 60 days in advance with reasons stated.

US Department of Homeland Security orders federal civilian agencies to remove DeepSeek

On October 20, 2026, Foreign Ministry spokesperson Mao Ning, responding at a regular press conference to reports that the US government has asked its agencies to stop using artificial intelligence tools from Chinese companies such as DeepSeek, said that China consistently opposes overgeneralizing the concept of national security and politicizing science, technology, and economic and trade issues, and will resolutely safeguard the legitimate rights and interests of Chinese companies. On the same day, reports said that the US Department of Homeland Security had ordered the removal of DeepSeek-related technology from most government systems and barred civilian government agencies from using DeepSeek and any technology built with its models; the reports said the ban took effect at the end of July and that agencies under the Department of Defense are not covered. Other reports said the order, based on the 2018 Federal Acquisition Supply Chain Security Act, requires civilian agencies to remove DeepSeek and related products from their information technology systems, as well as third-party products and services developed using DeepSeek, with exceptions requiring an application submitted 60 days in advance with reasons stated.

View story:Foreign Ministry responds to US demand to stop using DeepSeek

DeepSeek open-sources inference framework DeepInfer

On October 20, 2026, DeepSeek announced the open-sourcing of its internal production-grade inference framework, DeepInfer. According to Latent Space, the framework powers DeepSeek-V4.1-Flash, is customized based on vLLM, supports distributed inference, speculative decoding, SWA Bounded Replay, and structured output, and targets the NVIDIA SM100 and Huawei Ascend 950 platforms; the published single-cluster production figures are 155 trillion tokens processed per day, a 96% input cache hit rate, 400 ms first-token latency, and a generation speed of 230 tokens/s. The report also noted that components such as KV cache management and load balancing have not yet been fully open-sourced. The next day, DeepSeek published the DeepInfer technical report on Zhihu, disclosing internal details including the hardware selection for Prefill and Decode and the KVCache targets, and providing data showing a single cluster serving 155 trillion Tokens/day at $38 per card per hour at off-peak prices. The framework is currently open-sourced, but the KV cache system, Prefill/Decode disaggregation, and load balancing required for a complete service are not fully included in this open-source project.

DeepSeek open-sources inference framework DeepInfer

On October 20, 2026, DeepSeek announced the open-sourcing of its internal production-grade inference framework, DeepInfer. According to Latent Space, the framework powers DeepSeek-V4.1-Flash, is customized based on vLLM, supports distributed inference, speculative decoding, SWA Bounded Replay, and structured output, and targets the NVIDIA SM100 and Huawei Ascend 950 platforms; the published single-cluster production figures are 155 trillion tokens processed per day, a 96% input cache hit rate, 400 ms first-token latency, and a generation speed of 230 tokens/s. The report also noted that components such as KV cache management and load balancing have not yet been fully open-sourced. The next day, DeepSeek published the DeepInfer technical report on Zhihu, disclosing internal details including the hardware selection for Prefill and Decode and the KVCache targets, and providing data showing a single cluster serving 155 trillion Tokens/day at $38 per card per hour at off-peak prices. The framework is currently open-sourced, but the KV cache system, Prefill/Decode disaggregation, and load balancing required for a complete service are not fully included in this open-source project.

View story:DeepSeek open-sources inference framework DeepInfer

Arena announces DeepSeek-V4.1-Flash-1017 tops the Agent Arena open-source leaderboard

On October 17, 2026, DeepSeek released DeepSeek-V4.1-Flash-1017, which the company says delivers stronger benchmark performance, faster task completion, and shorter outputs, achieving a Pareto improvement in performance and cost; it is now available on the official website, App, and API, and the model also launched on OpenRouter the same day. The company also announced that the Search and Fetch APIs are open to everyone, priced at $0.75 per 1,000 calls per endpoint, with calls made through server-side tools in DeepSeek Harness, Claude Code, and Codex temporarily free, and billing starting at 16:00 UTC on October 31, 2026. On October 17, Thomas Wolf commented that DeepSeek called this a "minor update," yet Terminal-Bench 4.0 rose from 31.2 to 42.3. On October 19, Arena announced that the model, with a score of 1670, became the highest-ranked open-source model on Code Arena: WebDev. On October 20, OpenCode updated it to version 1017 in Go and Free; Unsloth released a GGUF that can run locally, with the 1-bit quantized version retaining about 88.2% accuracy and shrinking in size from 508GB to 250GB; Arena then announced that it topped the Agent Arena open-source model leaderboard.

View story:DeepSeek releases DeepSeek-V4.1-Flash-1017

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On October 20, 2026, Foreign Ministry spokesperson Mao Ning, responding at a regular press conference to reports that the US government has asked its agencies to stop using artificial intelligence tools from Chinese companies such as DeepSeek, said that China consistently opposes overgeneralizing the concept of national security and politicizing science, technology, and economic and trade issues, and will resolutely safeguard the legitimate rights and interests of Chinese companies. On the same day, reports said that the US Department of Homeland Security had ordered the removal of DeepSeek-related technology from most government systems and barred civilian government agencies from using DeepSeek and any technology built with its models; the reports said the ban took effect at the end of July and that agencies under the Department of Defense are not covered. Other reports said the order, based on the 2018 Federal Acquisition Supply Chain Security Act, requires civilian agencies to remove DeepSeek and related products from their information technology systems, as well as third-party products and services developed using DeepSeek, with exceptions requiring an application submitted 60 days in advance with reasons stated.

View story:Foreign Ministry responds to US demand to stop using DeepSeek

DeepSeek completes nearly 100 billion yuan in financing

DeepSeek has completed a new round of financing, raising close to 100 billion yuan. According to a Huxiu report, this round raised a minimum of 80 billion yuan and could ultimately approach 100 billion yuan, with the pre-money valuation maintained at 500 billion yuan; founder Liang Wenfeng personally contributed about 20 billion yuan. The report also noted that in the first seven months of 2026 the company's revenue was 475 million yuan and its net loss was 715 million yuan, with the API business gross margin at 82.9%. The funds are mainly directed to a GW-level intelligent computing center in Ulanqab, Inner Mongolia, where the company plans to deploy 160,000 Huawei Ascend 950DT chips; the company plans to submit its prospectus by the end of 2026 and list on the STAR Market in 2027. No subsequent factual developments have been disclosed so far.

View story:DeepSeek Completes Nearly 100 Billion Yuan Financing

DeepSeek releases DeepSeek-V4.1-Flash-1017

On October 17, 2026, DeepSeek released DeepSeek-V4.1-Flash-1017, which the company says delivers stronger benchmark performance, faster task completion, and shorter outputs, achieving a Pareto improvement in performance and cost; it is now available on the official website, App, and API, and the model also launched on OpenRouter the same day. The company also announced that the Search and Fetch APIs are open to everyone, priced at $0.75 per 1,000 calls per endpoint, with calls made through server-side tools in DeepSeek Harness, Claude Code, and Codex temporarily free, and billing starting at 16:00 UTC on October 31, 2026. On October 17, Thomas Wolf commented that DeepSeek called this a "minor update," yet Terminal-Bench 4.0 rose from 31.2 to 42.3. On October 19, Arena announced that the model, with a score of 1670, became the highest-ranked open-source model on Code Arena: WebDev. On October 20, OpenCode updated it to version 1017 in Go and Free; Unsloth released a GGUF that can run locally, with the 1-bit quantized version retaining about 88.2% accuracy and shrinking in size from 508GB to 250GB; Arena then announced that it topped the Agent Arena open-source model leaderboard.

Arena announces DeepSeek-V4.1-Flash-1017 as the top open-source model on the Code Arena leaderboard

On October 17, 2026, DeepSeek released DeepSeek-V4.1-Flash-1017, which the company says delivers stronger benchmark performance, faster task completion, and shorter outputs, achieving a Pareto improvement in performance and cost; it is now available on the official website, App, and API, and the model also launched on OpenRouter the same day. The company also announced that the Search and Fetch APIs are open to everyone, priced at $0.75 per 1,000 calls per endpoint, with calls made through server-side tools in DeepSeek Harness, Claude Code, and Codex temporarily free, and billing starting at 16:00 UTC on October 31, 2026. On October 17, Thomas Wolf commented that DeepSeek called this a "minor update," yet Terminal-Bench 4.0 rose from 31.2 to 42.3. On October 19, Arena announced that the model, with a score of 1670, became the highest-ranked open-source model on Code Arena: WebDev. On October 20, OpenCode updated it to version 1017 in Go and Free; Unsloth released a GGUF that can run locally, with the 1-bit quantized version retaining about 88.2% accuracy and shrinking in size from 508GB to 250GB; Arena then announced that it topped the Agent Arena open-source model leaderboard.

View story:DeepSeek releases DeepSeek-V4.1-Flash-1017

DeepSeek releases DeepSeek-V4.1-Flash-1017

On October 17, 2026, DeepSeek released DeepSeek-V4.1-Flash-1017, which the company says delivers stronger benchmark performance, faster task completion, and shorter outputs, achieving a Pareto improvement in performance and cost; it is now available on the official website, App, and API, and the model also launched on OpenRouter the same day. The company also announced that the Search and Fetch APIs are open to everyone, priced at $0.75 per 1,000 calls per endpoint, with calls made through server-side tools in DeepSeek Harness, Claude Code, and Codex temporarily free, and billing starting at 16:00 UTC on October 31, 2026. On October 17, Thomas Wolf commented that DeepSeek called this a "minor update," yet Terminal-Bench 4.0 rose from 31.2 to 42.3. On October 19, Arena announced that the model, with a score of 1670, became the highest-ranked open-source model on Code Arena: WebDev. On October 20, OpenCode updated it to version 1017 in Go and Free; Unsloth released a GGUF that can run locally, with the 1-bit quantized version retaining about 88.2% accuracy and shrinking in size from 508GB to 250GB; Arena then announced that it topped the Agent Arena open-source model leaderboard.

View story:DeepSeek releases DeepSeek-V4.1-Flash-1017

DeepSeek Completes Nearly 100 Billion Yuan Financing

DeepSeek has completed a new round of financing, raising close to 100 billion yuan. According to a Huxiu report, this round raised a minimum of 80 billion yuan and could ultimately approach 100 billion yuan, with the pre-money valuation maintained at 500 billion yuan; founder Liang Wenfeng personally contributed about 20 billion yuan. The report also noted that in the first seven months of 2026 the company's revenue was 475 million yuan and its net loss was 715 million yuan, with the API business gross margin at 82.9%. The funds are mainly directed to a GW-level intelligent computing center in Ulanqab, Inner Mongolia, where the company plans to deploy 160,000 Huawei Ascend 950DT chips; the company plans to submit its prospectus by the end of 2026 and list on the STAR Market in 2027. No subsequent factual developments have been disclosed so far.

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DeepSeek's second round of financing increased to about 100 billion yuan

DeepSeek's second round of financing has been scaled up. According to a Huxiu report on October 13, 2026, the round is planned to increase from 50 billion yuan to about 100 billion yuan, with the pre-money valuation still about 500 billion yuan, and new and existing shareholders each planning to invest half. The new investors are mainly industrial capital, including Shixi Capital, SMIC Capital, Geely, and others, while CATL plans to add about 10 billion yuan. The report also mentioned that an LP of a fund said the deal is still changing dynamically, and DeepSeek's public relations department declined to comment on the financing information. The company has hired Yan Wentao, former partner of Hillhouse Venture Capital, as CFO, and outsiders expect an IPO to be advanced as early as early 2027. Currently, there is no subsequent evidence-supported progress on this financing.

DeepSeek's second round of financing increased to about 100 billion yuan

DeepSeek's second round of financing has been scaled up. According to a Huxiu report on October 13, 2026, the round is planned to increase from 50 billion yuan to about 100 billion yuan, with the pre-money valuation still about 500 billion yuan, and new and existing shareholders each planning to invest half. The new investors are mainly industrial capital, including Shixi Capital, SMIC Capital, Geely, and others, while CATL plans to add about 10 billion yuan. The report also mentioned that an LP of a fund said the deal is still changing dynamically, and DeepSeek's public relations department declined to comment on the financing information. The company has hired Yan Wentao, former partner of Hillhouse Venture Capital, as CFO, and outsiders expect an IPO to be advanced as early as early 2027. Currently, there is no subsequent evidence-supported progress on this financing.

View story:DeepSeek's second round of financing increased to about 100 billion yuan

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