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Government officials and AI researchers at DeepSeek unveil groundbreaking AI innovation amid regulatory scrutiny of exiting t

Editorial illustration for DeepSeek unveils new AI breakthrough as nation tightens grip on departing firms

DeepSeek unveils new AI breakthrough as nation tightens...

DeepSeek unveils new AI breakthrough as nation tightens grip on departing firms

Updated: 2 min read

DeepSeek opened its doors to the public on Friday, rolling out a preview of the V4 family and making both versions downloadable through its platform and API. The flagship V4 Pro packs 1.6 trillion total parameters, with 49 billion active at any moment, while the leaner V4 Flash runs on 284 billion total parameters and 13 billion active. Here’s the thing: V4 Pro is aimed at heavy‑duty coding and complex agent work, whereas Flash is marketed as the faster, cheaper option.

While the launch follows months of low‑key updates—new “expert” and “flash” modes slipped into the system—it marks DeepSeek’s biggest push since the R1 model debuted in January last year. R1 earned global notice for delivering strong results on modest hardware, thrusting the Chinese firm into the spotlight, according to MIT Technology Review. The V4 rollout arrives amid a tense backdrop of staff departures and postponed earlier releases, yet the company signals it is still forging ahead on advanced AI.

According to DeepSeek, the new models excel in coding, mathematics and reasoning, outpacing all open‑source competitors in those domains.

Even so, the release shows that DeepSeek continues work on advanced AI systems. The strength of V4 comes from its performance with coding, maths and reasoning tasks. DeepSeek said V4 Pro beats all current open models in these areas and rivals leading closed systems.

Benchmark results shared by the company show it performing at a level close to models such as Claude Opus 4.6, GPT 5.4 and Gemini 3.1. MIT Technology Review reported that V4 Pro exceeds other open models like Qwen 3.5 and GLM 5.1 in coding and STEM tasks. It also performs well in writing and general knowledge tests, based on results released by DeepSeek.

The system also works well for multi step problems. DeepSeek said V4 Pro ranks among the top open models for agent based coding tasks. It has been tuned to work with tools such as Claude Code, OpenClaw, and CodeBuddy, which are used to build AI agents that can complete tasks on their own.

Developer feedback supports this and DeepSeek shared results from an internal survey of 85 developers, where more than 90% said they placed V4 Pro among their top choices for coding work.

Why this matters DeepSeek’s V4 rollout puts a new, publicly downloadable model into the hands of developers just as the country tightens oversight of departing tech firms. V4 Pro, the larger of the two offerings, is marketed for coding, math and reasoning‑heavy agent work, while the smaller V4 Flash targets lighter workloads. The company claims the Pro version outperforms every open‑source competitor in those benchmarks and even measures up to leading closed systems. Yet the evidence rests on internal results, and it is unclear whether independent testing will confirm those margins. For founders, the availability of a high‑performing open model could lower entry costs for AI‑driven products, but the claim of “rivaling” closed systems invites scrutiny. Researchers may find the public API useful for probing advanced capabilities, though the true breadth of V4’s reasoning skills remains to be validated. We’ll watch how the community’s own evaluations align with DeepSeek’s assertions, and whether the model’s performance translates into practical gains across real‑world projects.

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