Leave Deepseek, China’s new AI model Kimi k1.5 also surpasses ChatGPT in key benchmarks

Leave Deepseek, China’s new AI model Kimi k1.5 also surpasses ChatGPT in key benchmarks
HIGHLIGHTS

A Chinese tech company, Moonshot AI has introduced its new AI model- Kimi k1.5.

It has been positioned as a serious contender to the OpenAI o1 model.

Kimi k1.5 has showcased superior performance in mathematics, coding, and multimodal abilities.

This year the AI race started on a pretty heavy note, first OpenAI was challenged by DeepSeek’s DeepSeek-R1 and now there is another Chinese AI model that has entered the chat. A Chinese tech company, Moonshot AI has introduced its new AI model- Kimi k1.5. Can’t help but notice the name’s uncanny resemblance to a popular celebrity in the US. Sorry for the deviation from the topic, it has outperformed OpenAI’s GPT-4o and Claude 3.5 Sonnet in several key areas. Does this mean that we are entering the era of Chinese AI models? Let’s see what Kimi k1.5 has to offer.

Kimi k1.5 has been developed by a Beijing-based startup. It has been positioned as a serious contender to the OpenAI o1 model. Unlike the o1, which excels in thinking through complex problems before responding, Kimi k1.5 has showcased superior performance in mathematics, coding, and multimodal abilities. This also includes the ability to process text, photos, and videos. This makes Kimi a versatile AI model, outperforming its competitors on several benchmark tests.

One feature that differentiates Kimi k1.5 from others is its reinforcement learning (RL) capability. This allows the model to learn and improve through exploration and rewards. With this, it can solve more complex problems by combining text, code, and visual data. The model has scored impressively across several benchmarks, including a 96.2 on MATH 500, surpassing OpenAI’s GPT-4 in mathematical reasoning. Kimi also outperformed GPT-4 and Claude 3.5 Sonnet by up to 550 percent in multiple tests.

Kimi’s design in particular relies on reinforcement learning techniques, which help it enhance its decision-making capabilities. It uses the Chain of Thought approach to model and break down problems into smaller steps. This improves its reasoning ability. Additionally, Kimi can process long-context tasks up to 128k tokens, making it suitable for complex, data-intensive tasks.

Mustafa Khan

Mustafa Khan

Mustafa is new on the block and is a tech geek who is currently working with Digit as a News Writer. He tests the new gadgets that come on board and writes for the news desk. He has found his way with words and you can count on him when in need of tech advice. No judgement. He is based out of Delhi, he’s your person for good photos, good food recommendations, and to know about anything GenZ. View Full Profile

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