--- title: "DeepSeek V4 Preview Closes Gap With Top AI Models" date: 2026-04-24 author: "Barry Elad" featured_image: "https://sqmagazine.co.uk/wp-content/uploads/2026/04/deepseek-launches-v4-preview.jpg" categories: - name: "Artificial Intelligence" url: "/artificial-intelligence.md" tags: - name: "News" url: "/tag/news.md" --- # DeepSeek V4 Preview Closes Gap With Top AI Models China based AI company DeepSeek has unveiled a preview of its next generation V4 model, claiming performance that rivals leading systems from OpenAI, Google, and Anthropic. ## Quick Summary – TLDR: - DeepSeek launches V4 Flash and V4 Pro with major performance upgrades. - Models feature 1 million token context and improved coding abilities. - Pricing undercuts rivals like OpenAI and Google significantly. - Raises fresh concerns around AI competition and intellectual property. ## What Happened? DeepSeek [released preview versions](https://api-docs.deepseek.com/news/news260424) of its V4 AI models, positioning them as strong competitors to the most advanced systems globally. The company claims major gains in reasoning, coding, and efficiency, while keeping costs significantly lower than rivals. > 🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. > > 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world’s top closed-source models. > 🔹 DeepSeek-V4-Flash: 284B total / 13B active params.… [pic.twitter.com/n1AgwMIymu](https://t.co/n1AgwMIymu) > > — DeepSeek (@deepseek\_ai) [April 24, 2026](https://twitter.com/deepseek_ai/status/2047516922263285776?ref_src=twsrc%5Etfw) ## A Major Leap in Scale and Performance [DeepSeek V4](https://sqmagazine.co.uk/deepseek-ai-statistics/) represents a clear step forward from its earlier models, including V3.2 and the widely discussed R1. The company introduced two versions, **V4 Pro** and **V4 Flash**, both built using a mixture of experts architecture that activates only selected parameters per task to improve efficiency. The **V4 Pro model** stands out with **1.6 trillion total parameters**, making it one of the largest open weight AI models available today. Out of these, **49 billion parameters are active during tasks**, helping balance scale and performance. The smaller **V4 Flash model**, with **284 billion parameters**, focuses on speed and cost efficiency while maintaining competitive performance. DeepSeek says these improvements allow V4 to perform strongly across reasoning benchmarks and coding tasks. In some cases, the company claims its models rival or even outperform systems like GPT 5 series and Gemini models in specific areas such as coding competitions. ## Coding and Agent Capabilities Take Center Stage One of the biggest highlights of V4 is its focus on **coding and agent-based workflows**, which are becoming central to modern AI applications. - **Enhanced performance in agentic coding benchmarks.** - **Seamless integration with tools like Claude Code and OpenCode.** - **Improved ability to handle complex programming tasks.** These capabilities place DeepSeek V4 in direct competition with tools developed by [Anthropic and OpenAI](https://sqmagazine.co.uk/openai-vs-anthropic-statistics/), where coding assistance has become a key battleground. ## 1 Million Context Window Sets a New Standard A standout feature is the **1 million token context window**, which allows the model to process massive documents or entire codebases in a single prompt. DeepSeek has also introduced structural innovations such as **token wise compression and sparse attention mechanisms**, designed to reduce compute and memory costs while maintaining performance. This positions the model as highly efficient compared to many existing systems. ## Cost Advantage Could Disrupt the Market Pricing is where DeepSeek is making its boldest move. - **V4 Flash is priced at just $0.14 per million input tokens**. - **V4 Pro offers competitive rates even against premium models**. These prices significantly undercut offerings from OpenAI, [Google](https://sqmagazine.co.uk/google-gemini-ai-statistics/), and Anthropic, potentially reshaping how developers and businesses choose AI providers. ## Still Slightly Behind in Knowledge Benchmarks Despite strong performance, DeepSeek acknowledged that V4 still trails top frontier models in certain knowledge based tests. The company estimates a gap of about **3 to 6 months behind leading systems**. Another limitation is that V4 currently supports **text only**, unlike many competitors that offer multimodal capabilities such as image, audio, and video understanding. ## Strategic Push for China’s AI and Chip Ecosystem The launch also highlights DeepSeek’s alignment with domestic technology, particularly compatibility with hardware from Huawei. This is seen as an important step for China’s broader effort to build a self sufficient AI ecosystem. However, the release comes amid growing tensions. US officials have raised concerns about alleged misuse of restricted chips and intellectual property, while companies like [Anthropic have accused DeepSeek of model distillation practices](https://sqmagazine.co.uk/anthropic-claude-ai-distillation-chinese-firms/). ## SQ Magazine Takeaway I think this launch is a big moment in the AI race. DeepSeek is not just catching up, it is doing it in a way that could shake pricing across the entire industry. If developers start shifting to cheaper yet capable models, companies like OpenAI and Google may be forced to rethink their strategies. At the same time, the concerns around data use and intellectual property cannot be ignored. This story is not just about technology, it is also about trust and global competition.