Latest news with #KimiK2
Deccan Herald
2 days ago
- Business
- Deccan Herald
Moonshot AI goes open-source to regain market position
Chinese artificial intelligence startup Moonshot AI released a new open-source AI model on Friday, joining a wave of similar releases from local rivals, as it seeks to reclaim its position in the competitive domestic market. The model, called Kimi K2, features enhanced coding capabilities and excels at general agent tasks and tool integration, allowing it to break down complex tasks more effectively, the company said in a statement. Moonshot claimed the model outperforms mainstream open-source models in some areas, including DeepSeek's V3, and rival capabilities of leading U.S. models such as those from Anthropic in certain functions such as coding. The release follows a trend among Chinese companies toward open-sourcing AI models, contrasting with many U.S. tech giants like OpenAI and Google that keep their most advanced AI models proprietary. Some American firms, including Meta Platforms , have also released open-source models. Open-sourcing allows developers to showcase their technological capabilities and expand developer communities as well as their global influence, a strategy likely to help China counter U.S. efforts to limit Beijing's tech progress.
Geeky Gadgets
2 days ago
- Business
- Geeky Gadgets
Kimi K2 One Trillion Parameter Open Source AI Model Tested
What if the future of artificial intelligence wasn't locked behind corporate walls but instead placed directly in the hands of developers, researchers, and innovators worldwide? Enter Kimi K2, a new open source AI model from Moonshot that's shaking up the status quo. With its one trillion parameter mixture of experts architecture, Kimi K2 doesn't just rival proprietary systems—it redefines what's possible for accessible AI. Imagine a model that can autonomously reason, execute multi-step tasks, and seamlessly integrate external tools, all while maintaining computational efficiency. This isn't just another AI release; it's a bold statement about the future of provide widespread access tod technology. In this exploration, World of AI uncover how Kimi K2's innovative design and state-of-the-art performance are setting new benchmarks in the AI landscape. From its ability to outperform competitors in STEM challenges to its versatility across industries like healthcare, education, and gaming, Kimi K2 is more than just a model—it's a movement. Whether you're a developer seeking fine-tuned control or a user looking for an out-of-the-box solution, Kimi K2's dual versions promise something for everyone. But what does this mean for the dominance of closed-source AI systems? Let's unpack the implications of this innovative release and what it signals for the future of artificial intelligence. Kimi K2 Open source AI Innovative Model Architecture Kimi K2's architecture is built on a mixture of experts system, a design that activates only the most relevant parameters for each task. This selective activation ensures computational efficiency while maintaining high performance. The model is specifically optimized for agentic reasoning, allowing it to autonomously make decisions and execute multi-step workflows. Its ability to integrate external tools further enhances its adaptability, making it suitable for addressing complex, resource-intensive tasks across various domains. This architecture not only reduces computational overhead but also allows Kimi K2 to scale effectively for diverse applications. By focusing on task-specific parameter activation, the model achieves a balance between efficiency and accuracy, setting it apart from traditional AI systems. Exceptional Benchmark Performance Kimi K2 delivers state-of-the-art results across several industry-standard benchmarks, including Swaybench, GSM8K, and AceBench Math. These evaluations underscore its strengths in reasoning, problem-solving, and computational tasks. For example: In STEM-related challenges, Kimi K2 demonstrates advanced proficiency in mathematics and scientific reasoning, solving complex equations and modeling intricate systems. In competitive coding, it rivals proprietary models like Claude 4 and Gemini 2.5, showcasing its ability to handle programming tasks with precision and speed. These results position Kimi K2 as a credible and capable alternative to closed-source AI systems, offering comparable or superior performance in key areas. Kimi K2 Open Source AI Model Tested Watch this video on YouTube. Dive deeper into open source AI with other articles and guides we have written below. Two Versions Tailored to User Needs To meet the diverse requirements of its users, Kimi K2 is available in two distinct versions, each designed for specific use cases: Kimi K2 Base: This foundational model is tailored for researchers and developers who require flexibility for fine-tuning and customization. It is ideal for specialized applications where precise control over the model's behavior is essential. This foundational model is tailored for researchers and developers who require flexibility for fine-tuning and customization. It is ideal for specialized applications where precise control over the model's behavior is essential. Kimi K2 Instruct: Optimized for general-purpose use, this chat-ready version excels in agentic reasoning and everyday tasks. It is perfect for users seeking an out-of-the-box solution that delivers reliable performance without additional configuration. These options ensure that both advanced developers and general users can use Kimi K2's capabilities effectively, whether for research, development, or practical applications. Versatile Applications Kimi K2's adaptability makes it suitable for a wide range of applications across industries. For web developers, it can generate high-quality front-end designs and functional layouts, streamlining the design process. Its ability to create SVG representations and analyze visual data provides actionable insights through graphical outputs, enhancing decision-making and design workflows. In more advanced scenarios, Kimi K2 has been employed to develop intricate 3D simulations, such as a Minecraft-like environment. This demonstrates its capacity to handle complex and creative tasks, making it a valuable tool for developers exploring virtual environments, gaming, and simulation-based applications. Beyond development, Kimi K2's capabilities extend to fields such as education, where it can assist in creating interactive learning tools, and healthcare, where it can analyze large datasets to identify trends and insights. Its versatility ensures that it can adapt to the unique demands of various industries. Accessibility and Cost Efficiency One of Kimi K2's most compelling features is its accessibility. As an open source model, users can download and deploy its weights locally, granting them full control over its implementation. This approach enables developers and organizations to customize the model to suit their specific needs without relying on external infrastructure. For those who prefer cloud-based solutions, Kimi K2 offers an API with competitive pricing for input and output tokens. To further reduce barriers to entry, Moonshot provides free API credits for initial usage, allowing users to explore the model's potential without incurring upfront costs. This combination of flexibility and affordability makes Kimi K2 an attractive option for businesses and individuals alike. Redefining the AI Landscape Kimi K2 represents a significant milestone in the evolution of artificial intelligence. By offering a high-performance, open source alternative to proprietary models, it provide widespread access tos access to innovative AI technologies. Its combination of cost-effectiveness, versatility, and robust performance positions it as a valuable resource for businesses, researchers, and developers. Whether your goal is to optimize workflows, create innovative applications, or explore the frontiers of AI, Kimi K2 provides a powerful and accessible solution. Its release not only challenges the status quo but also paves the way for a more inclusive and collaborative AI ecosystem, where advanced technology is within reach for all. Media Credit: WorldofAI Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
NBC News
3 days ago
- Business
- NBC News
Another Chinese AI model is turning heads
BEIJING — The latest Chinese generative artificial intelligence model to take on OpenAI's ChatGPT is offering coding capabilities — at a lower price. Alibaba-backed startup Moonshot released on late Friday night its Kimi K2 model: a low-cost, open source large language model — the two factors that underpinned China-based DeepSeek's industry disruption in January. Open-source technology provides source code access for free, an approach that few U.S. tech giants have taken, other than Meta and Google to some extent. Coincidentally, OpenAI CEO Sam Altman announced early Saturday that there would be an indefinite delay of its first open-source model yet again due to safety concerns. OpenAI did not immediately respond to a CNBC request for comment on Kimi K2. One of Kimi K2′s strengths is in writing computer code for applications, an area in which businesses see potential to reduce or replace staff with generative AI. OpenAI's U.S. rival Anthropic focused on coding with its Claude Opus 4 model released in late May. In its release announcement on social media platforms X and GitHub, Moonshot claimed Kimi K2 surpassed Claude Opus 4 on two benchmarks, and had better overall performance than OpenAI's coding-focused GPT-4.1 model, based on several industry metrics. 'No doubt [Kimi K2 is] a globally competitive model, and it's open sourced,' Wei Sun, principal analyst in artificial intelligence at Counterpoint, said in an email Monday. Cheaper option 'On top of that, it has lower token costs, making it attractive for large-scale or budget-sensitive deployments,' she said. The new K2 model is available via Kimi's app and browser interface for free unlike ChatGPT or Claude, which charge monthly subscriptions for their latest AI models. Kimi is also only charging 15 cents for every 1 million input tokens, and $2.50 per 1 million output tokens, according to its website. Tokens are a way of measuring data for AI model processing. In contrast, Claude Opus 4 charges 100 times more for input — $15 per million tokens — and 30 times more for output — $75 per million tokens. Meanwhile, for every one million tokens, GPT-4.1 charges $2 for input and $8 for output. Moonshot AI said on GitHub that developers can use K2 however they wish, with the only requirement that they display 'Kimi K2' on the user interface if the commercial product or service has more than 100 million monthly active users, or makes the equivalent of $20 million in monthly revenue. Hot AI market Initial reviews of K2 on both English and Chinese social media have largely been positive, although there are some reports of hallucinations, a prevalent issue in generative AI, in which the models make up information. Still, K2 is 'the first model I feel comfortable using in production since Claude 3.5 Sonnet,' Pietro Schirano, founder of startup MagicPath that offers AI tools for design, said in a post on X. Moonshot has open sourced some of its prior AI models. The company's chatbot surged in popularity early last year as China's alternative to ChatGPT, which isn't officially available in the country. But similar chatbots from ByteDance and Tencent have since crowded the market, while tech giant Baidu has revamped its core search engine with AI tools. Kimi's latest AI release comes as investors eye Chinese alternatives to U.S. tech in the global AI competition. Still, despite the excitement about DeepSeek, the privately-held company has yet to announce a major upgrade to its R1 and V3 model. Meanwhile, Manus AI, a Chinese startup that emerged earlier this year as another DeepSeek-type upstart, has relocated its headquarters to Singapore. Over in the U.S., OpenAI also has yet to reveal GPT-5. Work on GPT-5 may be taking up engineering resources, preventing OpenAI from progressing on its open-source model, Counterpoint's Sun said, adding that it's challenging to release a powerful open-source model without undermining the competitive advantage of a proprietary model. Grok 4 competitor Kimi K2 is not the company's only recent release. Moonshot launched a Kimi research model last month and claimed it matched Google's Gemini Deep Research 's 26.9 score and beat OpenAI's version on a benchmark called 'Humanity's Last Exam.' The Kimi research model even got a mention last week during Elon Musk's xAI release of Grok 4 — which scored 25.4 on its own on the 'Humanity's Last Exam' benchmark, but attained a 44.4 score when allowed to use a variety of AI tools and web search. 'Kimi-Researcher represents a paradigm shift in agentic AI,' said Winston Ma, adjunct professor at NYU School of Law. He was referring to AI's capability of simultaneously making several decisions on its own to complete a complex task. 'Instead of merely generating fluent responses, it demonstrates autonomous reasoning at an expert level — the kind of complex cognitive work previously missing from LLMs,' Ma said. He is also author of 'The Digital War: How China's Tech Power Shapes the Future of AI, Blockchain and Cyberspace.'
CNBC
3 days ago
- Business
- CNBC
Alibaba-backed Moonshot releases new Kimi AI model that beats ChatGPT, Claude in coding — and it costs less
BEIJING — The latest Chinese generative artificial intelligence model to take on OpenAI's ChatGPT is offering coding capabilities — at a lower price. Alibaba-backed startup Moonshot released on late Friday night its Kimi K2 model: a low-cost, open source large language model — the two factors that underpinned China-based DeepSeek's industry disruption in January. Open-source technology provides source code access for free, an approach that few U.S. tech giants have taken, other than Meta and Google to some extent. Coincidentally, OpenAI CEO Sam Altman announced early Saturday that there would be an indefinite delay of its first open-source model yet again due to safety concerns. OpenAI did not immediately respond to a CNBC request for comment on Kimi K2. One of Kimi K2's strengths is in writing computer code for applications, an area in which businesses see potential to reduce or replace staff with generative AI. OpenAI's U.S. rival Anthropic focused on coding with its Claude Opus 4 model released in late May. In its release announcement on social media platforms X and GitHub, Moonshot claimed Kimi K2 surpassed Claude Opus 4 on two benchmarks, and had better overall performance than OpenAI's coding-focused GPT-4.1 model, based on several industry metrics. "No doubt [Kimi K2 is] a globally competitive model, and it's open sourced," Wei Sun, principal analyst in artificial intelligence at Counterpoint, said in an email Monday. "On top of that, it has lower token costs, making it attractive for large-scale or budget-sensitive deployments," she said. The new K2 model is available via Kimi's app and browser interface for free unlike ChatGPT or Claude, which charge monthly subscriptions for their latest AI models. Kimi is also only charging 15 cents for every 1 million input tokens, and $2.50 per 1 million output tokens, according to its website. Tokens are a way of measuring data for AI model processing. In contrast, Claude Opus 4 charges 100 times more for input — $15 per million tokens — and 30 times more for output — $75 per million tokens. Meanwhile, for every one million tokens, GPT-4.1 charges $2 for input and $8 for output. Moonshot AI said on GitHub that developers can use K2 however they wish, with the only requirement that they display "Kimi K2" on the user interface if the commercial product or service has more than 100 million monthly active users, or makes the equivalent of $20 million in monthly revenue. Initial reviews of K2 on both English and Chinese social media have largely been positive, although there are some reports of hallucinations, a prevalent issue in generative AI, in which the models make up information. Still, K2 is "the first model I feel comfortable using in production since Claude 3.5 Sonnet," Pietro Schirano, founder of startup MagicPath that offers AI tools for design, said in a post on X. Moonshot has open sourced some of its prior AI models. The company's chatbot surged in popularity early last year as China's alternative to ChatGPT, which isn't officially available in the country. But similar chatbots from ByteDance and Tencent have since crowded the market, while tech giant Baidu has revamped its core search engine with AI tools. Kimi's latest AI release comes as investors eye Chinese alternatives to U.S. tech in the global AI competition. Still, despite the excitement about DeepSeek, the privately-held company has yet to announce a major upgrade to its R1 and V3 model. Meanwhile, Manus AI, a Chinese startup that emerged earlier this year as another DeepSeek-type upstart, has relocated its headquarters to Singapore. Over in the U.S., OpenAI also has yet to reveal GPT-5. Work on GPT-5 may be taking up engineering resources, preventing OpenAI from progressing on its open-source model, Counterpoint's Sun said, adding that it's challenging to release a powerful open-source model without undermining the competitive advantage of a proprietary model. Kimi K2 is not the company's only recent release. Moonshot launched a Kimi research model last month and claimed it matched Google's Gemini Deep Research 's 26.9 score and beat OpenAI's version on a benchmark called "Humanity's Last Exam." The Kimi research model even got a mention last week during Elon Musk's xAI release of Grok 4 — which scored 25.4 on its own on the "Humanity's Last Exam" benchmark, but attained a 44.4 score when allowed to use a variety of AI tools and web search. "Kimi-Researcher represents a paradigm shift in agentic AI," said Winston Ma, adjunct professor at NYU School of Law. He was referring to AI's capability of simultaneously making several decisions on its own to complete a complex task. "Instead of merely generating fluent responses, it demonstrates autonomous reasoning at an expert level — the kind of complex cognitive work previously missing from LLMs," Ma said. He is also author of "The Digital War: How China's Tech Power Shapes the Future of AI, Blockchain and Cyberspace."
Geeky Gadgets
3 days ago
- Business
- Geeky Gadgets
Kimi K2 : Open-Weight AI Model That's Breaking Barriers
What if the future of coding wasn't just about automation but about creating a truly collaborative partner—one that learns, adapts, and evolves with you? Enter Kimi K2, a new AI model that's redefining how we think about coding. With its open-weight innovation and a staggering one trillion parameters, Kimi K2 doesn't just compete with proprietary models like GPT-4.1—it challenges the very notion of exclusivity in AI development. Imagine a tool that not only deciphers complex coding challenges but also invites the global community to build upon its foundation, fostering a culture of transparency and shared progress. This isn't just another model; it's a movement toward a more inclusive, agentic future for AI-driven coding. In this breakdown, Prompt Engineering explore how Kimi K2's sparse architecture and extended context length of 128,000 tokens enable it to tackle real-world coding problems with unmatched precision and scale. You'll discover why its open-weight framework is more than a technical choice—it's a philosophical shift in how AI models are developed and shared. From its impressive performance benchmarks to its seamless multi-tool integration, Kimi K2 is setting a new standard for what's possible in AI coding. But what does this mean for developers, and how does it shape the broader AI landscape? Let's unpack the significance of this fantastic moment and what it signals for the future of innovation. What Sets Kimi K2 Apart? Kimi K2's defining feature is its sparse architecture, which activates 32 billion parameters per query through the use of 384 experts. This design ensures both efficiency and scalability, allowing the model to tackle complex coding challenges with ease. Its extended context length of 128,000 tokens allows it to process large volumes of input data, producing detailed and nuanced outputs. The open-weight nature of Kimi K2 further distinguishes it, making the model accessible on platforms such as Hugging Face and Open Router. This transparency fosters collaboration within the AI community, encouraging developers to build upon its capabilities and explore new applications. Performance That Competes with the Best Kimi K2 delivers exceptional results in coding benchmarks, achieving a 66% success rate on single attempts and 72% on multi-attempt tasks in SweepBench. These figures not only surpass GPT-4.1 but also position Kimi K2 as a strong competitor to proprietary models like Cloud Opus 4. In real-world scenarios, Kimi K2 demonstrates high reliability, excelling in live coding tasks and tool integration. Its ability to adapt to diverse coding environments makes it an invaluable resource for developers seeking precision, speed, and flexibility in their workflows. Kimi K2 – The DeepSeek Moment for Agentic Coding Watch this video on YouTube. Uncover more insights about Agentic coding in previous articles we have written. Training Methodology and Optimization Kimi K2 was trained on 15 trillion tokens using the MoonClip optimizer, a method designed to maximize token efficiency and synthesize agentic data. This approach ensures the model produces high-quality outputs while minimizing computational overhead. Reinforcement learning played a pivotal role in enhancing Kimi K2's tool usage, with a focus on practical applications rather than abstract reasoning or theoretical tasks. This targeted training methodology equips the model to address real-world coding challenges effectively, prioritizing usability and performance over unnecessary complexity. Core Capabilities of Kimi K2 Kimi K2 is purpose-built for agentic coding, emphasizing speed, efficiency, and practicality. Its key capabilities include: Support for multi-tool usage within a single session, allowing seamless integration of various coding tools to streamline workflows. within a single session, allowing seamless integration of various coding tools to streamline workflows. Web search integration for real-time access to external information, enhancing its ability to provide accurate and up-to-date solutions. for real-time access to external information, enhancing its ability to provide accurate and up-to-date solutions. A user-friendly interface designed to accommodate both novice and experienced developers, making sure accessibility across skill levels. These features make Kimi K2 a versatile and efficient tool for developers, enhancing productivity and simplifying complex coding tasks. Licensing and Accessibility Kimi K2 is distributed under a modified MIT license, which requires attribution for large-scale commercial use. This licensing model strikes a balance between openness and fair use, encouraging innovation while protecting intellectual property. Developers can explore and use the model for free on platforms like making sure accessibility to a broad audience. This approach reinforces Kimi K2's commitment to fostering a collaborative and inclusive AI ecosystem. Significance in the AI Landscape The release of Kimi K2 comes at a critical juncture in the AI industry, where the debate between open-weight and proprietary models continues to shape the future of innovation. With delays in the release of OpenAI's open-weight models, Kimi K2 highlights the potential of open frameworks to drive progress and collaboration. By excelling in specialized coding tasks, Kimi K2 underscores the value of tailored AI solutions in addressing specific industry challenges. Its success demonstrates the growing importance of transparency and accessibility in advancing AI technology, paving the way for a more inclusive and innovative landscape. Limitations and Areas for Improvement While Kimi K2 offers numerous advantages, it is not without limitations. These include: Challenges in handling tasks that require complex animations or highly specialized reasoning, which may limit its applicability in certain domains. or highly specialized reasoning, which may limit its applicability in certain domains. Licensing restrictions on large-scale commercial use, which could pose barriers for some organizations seeking to adopt the model. These limitations highlight areas for future development, making sure that Kimi K2 continues to evolve and meet the diverse needs of the AI and coding communities. Why Kimi K2 Represents Progress in AI-Driven Coding Kimi K2 exemplifies the potential of open-weight AI models to redefine the standards of coding efficiency and adaptability. By combining state-of-the-art architecture, optimized training methodologies, and practical capabilities, it challenges the dominance of proprietary models and fosters a culture of openness and collaboration. Although there is room for improvement, Kimi K2's achievements signal a promising future for specialized AI development. Its success not only sets a new benchmark for agentic coding but also reinforces the importance of transparency and inclusivity in shaping the next generation of AI technologies. Media Credit: Prompt Engineering Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
