DeepSeek-VL: The Open Artificial Intelligence Model Leading the Future

InMarch 2025, a historic moment occurred in the field of artificial intelligence (AI). For the first time ever, an open-source model reached the very top of the Artificial Analysis Intelligence Index — a specialised benchmark that evaluates the overall intelligence of language models not focused on complex logical reasoning. The model in question is DeepSeek-VL, developed by DeepSeek AI, which tied for first place with Grok 3 from xAI, outperforming well-known commercial models such as GPT-4.5, Gemini 2.0, and Claude 3.7.

What Makes DeepSeek-VL Unique?

Officially named DeepSeek V3–0324, the model combines an advanced architecture with an impressive context window of 128,000 tokens. This allows it to analyse extensive documents or maintain long conversations without losing track of context. With 685 billion parameters, it leverages an innovative technique called Mixture-of-Experts (MoE), which dynamically activates only the experts needed for each specific task — maximising both efficiency and performance.

In addition, DeepSeek-VL incorporates Multi-Head Latent Attention (MLA) to optimise memory usage during inference, along with advanced training methods such as multi-token prediction (MTP), which significantly enhance its capabilities in complex tasks requiring deep understanding.

A Significant Step Forward

Compared to its predecessor, DeepSeek-VL represents a major leap, especially in challenging areas like programming, logic, and advanced mathematics. Standardised test results show remarkable improvements, including gains of up to 20 points in complex maths challenges and up to 10 points in coding tasks.

How Does DeepSeek-VL Compare to Other Leading Models?

DeepSeek-VL scores 53 points, tying for the lead with Grok 3 by xAI and clearly outperforming GPT-4.5 by OpenAI (51 points), Gemini 2.0 by Google (49 points), and Claude 3.7 by Anthropic (48 points). Unlike these commercial competitors, DeepSeek’s strategic advantage lies in its fully open nature: any user can access, inspect, and adapt its parameters freely.

This achievement also signals a major shift in the dynamics of tech development: open models are no longer just competing — they are now outperforming proprietary solutions in crucial aspects such as performance and accessibility.

Implications for the Global AI Community

The rise of DeepSeek-VL is not just a technical success; it is a major boost for the open collaboration model. This milestone could accelerate innovation by lowering the technological and financial barriers to accessing elite models. As other open-source initiatives — such as Meta’s LLaMA 3 and independent projects like Mistral and RedPajama — follow suit, we are likely to see an AI ecosystem that is increasingly competitive and diverse.

In Conclusion

DeepSeek-VL marks a turning point in artificial intelligence, positioning itself as a technical leader while promoting an open model that could define the next technological era. It stands as a clear example of how open collaboration and strategic innovation can break established paradigms and truly democratise access to cutting-edge technology.

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