China's DeepSeek vs The World

DeepSeek versus China’s Frontier AI Labs

The Scoop on DeepSeek's Open-Source Model R1: A Game-Changer for AI

The Scoop

DeepSeek, a rising AI research lab based in Hangzhou, China, has just made waves by fully open-sourcing a competitive model aimed directly at OpenAI's renowned o1. Named R1, DeepSeek's model has achieved remarkable performance, rivalling OpenAI’s closed-source model across a range of benchmarks, including advanced math, nuanced language understanding, and complex multi-step reasoning.

To illustrate the model's potential, let’s look at MMLU (Massive Multi-task Language Understanding) – a benchmark that tests an AI's ability to handle knowledge across 57 subjects such as law, mathematics, ethics, and medicine. DeepSeek's R1 model scored an impressive 90.8% accuracy, almost identical to OpenAI’s o1 model, which stands at 91.8%. This shows R1’s robust performance in demanding tasks.

In an interesting turn of events, DeepSeek has offered this model as a Chinese New Year gift to developers. What’s more, software developers can access R1 via DeepSeek's hosted platform, at a cost that is 90% cheaper than using OpenAI’s o1 API. This move could have significant implications for developers looking for high-performance AI solutions at a more affordable price point.

A New Approach in China’s AI Landscape

What sets DeepSeek apart from other AI startups in China is its funding structure and approach. In China, most of the frontier AI labs are financed by the country’s tech giants – Alibaba and Tencent. However, DeepSeek bucks this trend. Instead of relying on these tech behemoths, DeepSeek is a spinout startup backed by a quantitative hedge fund called High-Flyer Capital, which has assets under management totaling $8 billion and employs over 160 people.

By contrast, most of the top AI labs in China are funded by the Big 4 tech firms: Alibaba, Tencent, Baidu, and ByteDance. These companies maintain their own AI labs while also investing in smaller AI startups, including:

  • Baichuan: $1.4 billion raised

  • Zhipu: $1.17 billion raised

  • Moonshot: $1 billion raised

  • MiniMax: $600 million raised

  • DeepSeek: Funding details undisclosed

DeepSeek stands out not only for its unique funding model but also because it is the only lab in this list not directly funded by either Alibaba or Tencent. Instead, it operates independently under High-Flyer Capital's influence, making it a notable player in the broader AI landscape.

The Competitive Landscape: China vs. The US

The dynamics between Chinese and American tech giants are starkly different. While the US tech giants like Microsoft and Amazon support AI research within their own companies (e.g., Microsoft’s Phi and Amazon’s Nova) while backing external players like OpenAI and Anthropic, Alibaba and Tencent in China are taking a more collaborative route. Instead of competing directly, these two tech giants are co-investing partners, supporting a wide range of AI initiatives across the board, effectively hedging their bets on multiple fronts.

This cooperative approach contrasts sharply with the more competitive strategies seen in the US, where companies are more focused on backing a singular leader in the AI race. In China, however, the goal seems to be ensuring that whichever startup wins, Alibaba and Tencent both benefit.

Open-Sourcing as a Strategic Move

The trend of open-sourcing AI models by frontier labs is a key development driving down the cost of AI technologies for developers worldwide. DeepSeek’s decision to open-source its R1 model is significant, especially given the competitive advantages of closed-source models. By open-sourcing, DeepSeek aims to build its brand credibility, foster adoption among developers, and attract top-tier AI talent.

Interestingly, this move mirrors a pattern seen in other AI firms: when a frontier lab like DeepSeek lags slightly behind the leader (OpenAI in this case), they often opt to open-source their model. This not only increases developer adoption but also accelerates innovation within the field.

However, the sustainability of this open-source strategy remains to be seen. Will this trend continue to drive AI prices down and make high-level intelligence virtually free, or will it lead to an eventual slowdown as the market matures?

Why This Matters

The competition between AI firms, particularly between China and the US, is not just about technology – it’s about shaping the future of AI itself. As open-source models like DeepSeek’s R1 emerge, the race to deliver high-quality, cost-effective AI is intensifying. For developers, this is a golden age, where top-tier AI models are available at a fraction of the cost, opening up new possibilities for innovation.

What’s clear is that the impact of these moves will be felt across the industry. As more companies, both in China and abroad, look to either open-source or subsidize access to their models, we may witness an accelerating race to democratize artificial intelligence—and make AI-driven technologies more accessible to developers, entrepreneurs, and companies of all sizes.