How DeepSeek-V3 Outperforms GPT-4

The race to build better AI models has been heating up, and the latest competitor, DeepSeek-V3, is making waves. With a staggering 671 billion parameters, this open-source giant matches or even outperforms top players like OpenAI’s GPT-4o and Anthropic’s Claude-Sonnet-3.5. Let’s break down what makes DeepSeek-V3 so special.

How DeepSeek-V3 Outperforms GPT-4

Here are the highlights:

• Trained on 14.8 trillion tokens, it learned from a massive and diverse dataset.
• Supports English and Chinese, showcasing strong multilingual capabilities.
• Uses FP8 mixed precision training, a groundbreaking method that reduces resource usage without compromising quality.Performance That Impresses

Performance

DeepSeek-V3 sets itself apart by excelling in benchmarks like math, coding, and reasoning. For instance:

• It achieved 88.5% accuracy on the MMLU benchmark, a test of knowledge across multiple subjects.
• On math problems, it outperformed many competitors, demonstrating its sharp reasoning skills.
• For coding tasks, it shone in live competitions, outperforming even…