according to materials from the site - By Coinpaper.com
The Chinese startup Moonshot AI, operating in the field of artificial intelligence, supported by Alibaba, has released a new open-source model Kimi K2. Moonshot AI claims it excels in complex tasks related to intelligent analysis, mathematics, programming, and agent tasks.
In a statement, the startup said its neural network outperformed Claude Opus 4 on two benchmarks and showed better results than OpenAI GPT-4.1 on several metrics. Additionally, the model offers lower token processing costs:
$0.15 for 1 million incoming tokens
$2.50 for 1 million outgoing tokens
For comparison, Claude Opus 4 charges $15 for 1 million incoming tokens (100 times more) and $75 for 1 million outgoing tokens (30 times more). For OpenAI GPT-4.1, the cost is $2 for 1 million incoming tokens and $8 for 1 million outgoing tokens.
Kimi K2 is based on the Mixture-of-Experts (MoE) architecture and contains 1 trillion parameters, of which 32 billion are active at any given time. These active parameters represent specialized computational blocks assigned to specific tasks.
Kimi K2 is available for free through the Kimi app and web interface. The company offers two open-source versions:
Kimi-K2-Base is the base model designed for researchers and developers who require full control over customization.
Kimi-K2-Instruct is the version with optimized instructions, tailored for general applications, including chatbots and AI-based scripts with agents.
Initial feedback on Kimi K2 in English and Chinese social media is mostly positive, although some users noted a widespread issue of hallucinations in the AI segment.
Open source is trending
The new model reflects a broader industry trend: a shift to open source, which allows both startups and large tech companies to increase efficiency and accelerate the deployment of AI-based products. This approach involves providing public access to the program's source code, enabling third-party developers to:
Modify and improve the model architecture
Fix bugs
Scale functionality
Implement their own enhancements and adjustments for specific tasks
Among well-known Chinese startups, DeepSeek and Tencent offer open-source models. Among American competitors, Meta and, to some extent, Google have also adopted this approach.
At the same time, OpenAI CEO Sam Altman announced that the launch of the company's own open-source AI model has been postponed indefinitely, citing the need for additional safety testing.
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