Has the Chinese startup DeepSeek outsmarted Meta and OpenAI? Here's all about its AI platform that was trained on a joke of a budget
DeepSeek, a Chinese AI start-up, has unveiled its latest large language model, DeepSeek V3, a game-changing development in artificial intelligence.

The Hangzhou-based company revealed in a WeChat post that DeepSeek V3 was developed at an impressive cost of just $5.58 million, utilizing only 2.78 million GPU hours. By contrast, Meta’s Llama 3.1 required 30.8 million GPU hours. DeepSeek relied on Nvidia's H800 GPUs, tailored for the Chinese market, sidestepping US sanctions that block access to advanced chips.
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Computer scientist Andrej Karpathy praised the achievement on X (formerly Twitter), noting that DeepSeek managed to create a frontier-grade model with minimal resources. According to DeepSeek’s technical report, the V3 model not only surpassed Meta’s and Alibaba’s models but also delivered results comparable to OpenAI’s GPT-4o and Amazon-backed Anthropic’s Claude 3.5 Sonnet.
DeepSeek, spun off in 2022 from High-Flyer Quant, emphasizes cost-effective AI development. The company’s Fire Flyer GPU clusters have been instrumental in driving innovation. DeepSeek aims to democratize AI, offering its models for third-party application development alongside its chatbot services.
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FAQs:
What is DeepSeek V3?DeepSeek V3 is a large language model (LLM) developed by the Chinese start-up DeepSeek. It has 671 billion parameters and is designed to understand and generate text more effectively than many existing models.
How does DeepSeek V3 compare to other AI models?
DeepSeek V3 outperforms models like Meta's Llama 3.1 and OpenAI's GPT-4o in various benchmark tests, including text generation, coding, and problem-solving. It matches the capabilities of some of the most advanced AI systems available.
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