News linked to both this project and an event.
Perplexity CEO Aravind Srinivas tweeted that GLM is a severely underrated model, demonstrating performance close to Opus-level at the 700B parameter scale with extremely high operational efficiency. Previously, Moonshot AI just released the open-source model Kimi K3, and industry attention on the GLM series models under Zhipu AI is rising.
Moonshot AI's Kimi K3 model has launched on the Cursor code editor. Some users stated on social media that Cursor's model selection vision and product experience perform the best among all current AI Agents. Kimi K3 was previously released on July 28, with officials stating that it narrowed the gap between open-source and closed-source models to 4 points across multiple benchmark tests. Cursor is a code editing tool integrated with AI capabilities, and this integration of Kimi K3 provides developers with new model options.
Moonshot AI launches open-source model Kimi K3, scoring 57 points on the Artificial Analysis Intelligence Index, becoming the third highest-scoring model, second only to Anthropic's Claude Opus 5 (61 points), Claude Fable 5 (60 points), and OpenAI's GPT-5.6 Sol (59 points). The index shows that the gap between leading closed-source models and open-weight models has narrowed to 4 points, the smallest gap since the release of GLM-5 in February. This signifies that open-source models are rapidly catching up to closed-source models in performance.
Moonshot AI released the open-weights model Kimi K3 on Hugging Face. The model is a native multimodal agent model with a total parameter size of 2.8T, adopting a MoE architecture with approximately 104B activated parameters, supporting text and image input, and featuring a 1 million Token context window.
Chinese AI startup Moonshot AI will release the model weights of its high-performance model, Kimi K3. Developers can download the model, modify it for various purposes, and run it in their own data centers or cloud environments.Kimi K3 boasts 2.8 trillion parameters and a 1 million token context window, enabling it to process large-scale documents and codebases in a single pass. Moonshot AI plans to later publish a technical report detailing the model's architecture, training methodology, and performance evaluation results.Following the release of Kimi K3, Moonshot AI's daily revenue is reported to have increased by at least 6 times. The company is reportedly advancing a new round of fundraising at a $50 billion valuation and is considering a Hong Kong listing as early as this year.According to Bloomberg Intelligence, following the release of Kimi K3 and Z.AI's GLM-5.2, the share of Chinese open-weight models in overall token usage has risen to 68%. Services like AWS Bedrock, Microsoft Azure Foundry, and Google Vertex AI currently do not offer Chinese open-weight models such as Kimi K3 and GLM-5.2.
Moonshot AI 最新旗舰开源模型 Kimi K3 正式上线 B.AI Web Chat。此前 B.AI 已率先完成 Kimi K3 API 接入，此次 Web Chat 上线进一步降低了使用门槛。用户即日起可直接在 Web 端体验这一全球首个开源 3T 级模型在长程编程、复杂推理与深度知识工作方面的强大能力。
Moonshot AI employee Randy responded on X platform to White House Office of Science and Technology Policy Director Michael Kratsios’ remarks regarding Moonshot AI using Anthropic’s Fable to distill and develop the K3 model. He stated that Fable made its public debut on July 1, while K3 was launched on July 15. The team trained a brand-new frontier model in just 15 days, a feat worthy of a Guinness World Record.
According to Wintermute OTC trader @Jjay_dm, June CPI fell 0.4% month-over-month, the largest single-month drop since April 2020, overall inflation decreased from 4.2% to 3.5%, the market immediately priced in a hold for the July FOMC, and the probability of a rate hike in September also dropped from over 75% to 63%. However, the US restarted a naval blockade on Iranian ports and conducted air strikes for the fourth consecutive night, Brent crude surged 15.54% in a single week, reaching a high of $87 per barrel, pressure for energy inflation to rebound is accumulating, casting doubt on the sustainability of this CPI decline. Meanwhile, China's Moonshot released the open-source model Kimi K3, claiming performance comparable to frontier models from OpenAI and Anthropic, directly impacting the AI compute narrative, TSMC fell 7% in a single day, the Philadelphia Semiconductor Index recorded its worst weekly performance in 15 months, the Nasdaq dropped 4.16%, and Nvidia temporarily ceded the top spot in global market cap to Apple. The crypto market, however, strengthened against the trend, becoming the best-performing risk asset of the week. Within minutes of the CPI data release, BTC surged from around $62,000 to $64,900, ETH jumped 7% in a single day to $1,884, CoinGlass data showed approximately $134 million in short positions were liquidated within the first hour. BTC ETF
: A spokesperson from Moonshot AI responded to Musk's comments about "possibly surpassing Kimi," stating: "Let's wait and see. We welcome everyone to an arm-wrestle. He has confidence, but we have even stronger confidence."Musk previously announced on social media that the new model being trained by his AI company, featuring 2 trillion parameters, will complete its initial training next week. He claimed it is comprehensively superior to the 1.5 trillion parameter version and "might surpass Kimi."
AI startup Moonshot AI recently released the open-weight model Kimi K3, claiming it can compete with leading systems from OpenAI and Anthropic at a lower cost. The company also stated that the model can more efficiently convert computing power into AI capabilities.After the launch of Kimi K3, Moonshot AI suspended new subscriptions because the demand was so strong that it exceeded the company's computing capacity. The model had already sparked widespread discussion on the Chinese internet prior to this.On Weibo, topics related to Kimi K3 once rose to the trending list, with discussions focusing on whether open-weight models can challenge the proprietary systems of US companies, as well as changes in the computing power demands of China's AI industry. Other topics focused on the comparison between Kimi K3 and Anthropic's Claude.Elon Musk also stated that the initial training of xAI's next-generation Grok 4.6 model is in its final stages, and a 2 trillion parameter version may surpass Kimi. Moonshot AI's official Weibo account subsequently responded: "Welcome to the 2 Trillion+ Club."
according to official sources, Gate has now launched KIMIUSDT (Moonshot AI) pre-market perpetual contract trading (USDT settlement), supporting 1-10x leverage.Moonshot AI is an AGI unicorn independently developing general-purpose large models, ranking among the top tier of AI startups in China in terms of financing scale and technical performance.
According to TechFlow Research, Goldman Sachs' July 18 report pointed out that Moonshot AI released the Kimi K3 model, with 2.8 trillion parameters, surpassing Claude Fable 5 and GPT-5.6 Sol to top the Arena.ai coding leaderboard, with API pricing at $2.3 per million tokens setting a new high for Chinese models. Two days after the release, Zhipu AI fell 28%, MiniMax fell 16%, Nasdaq 100 index futures fell over 1.8%, and the Philadelphia Semiconductor Index cumulatively fell over 18% from highs. Goldman Sachs believes Kimi K3 marks a turning point: a Chinese lab unable to match the largest pre-training compute capacity in the West rapidly narrowed the gap with top US models through architectural innovation and reinforcement learning, proving that "scaling" is no longer the only winning path. Goldman Sachs warns that the "compute expansion era" may be ending, and the AI infrastructure investment logic built around "the more compute, the better" needs to be rewritten. Goldman Sachs maintains a Buy rating on MiniMax and Neutral on Zhipu AI. Future focus should be on the intensive launch of 2-5 trillion parameter models such as Zhipu GLM, Alibaba Qwen, and MiniMax M3 Pro.
According to The Wall Street Journal, following Moonshot AI's release of the low-cost, high-performance large model Kimi K3, Wall Street has once again seen concerns about a "DeepSeek-style shock," with the AI chip sector facing selling pressure. Morgan Stanley stated that the market may experience AI industry turbulence similar to that triggered by DeepSeek in early 2025, where the rise of low-cost, high-performance AI models could challenge top U.S. model developers such as OpenAI and Anthropic, while simultaneously weakening demand for the large-scale compute infrastructure underpinning the U.S. AI investment boom.
According to Bloomberg, AI company Moonshot AI has reportedly informed investors that the company plans to go public within six months at the earliest. Sources revealed that Moonshot AI has officially distributed shareholder resolution documents to investors, seeking shareholder support for its listing in Hong Kong. Initiating this notification process means that the company could complete the IPO within the next six months at the earliest. Moonshot AI is currently completing a round of financing, and the company's valuation could exceed $30 billion post-financing. They stated that the company believes now is the right time to go public because its Annual Recurring Revenue (ARR, a key metric measuring future sales capability) reached $300 million in June.
analyst KawzInvests stated that Moonshot AI's upcoming Kimi K3 could become a significant event in the open-source AI space, and the infrastructure demand behind it may drive growth for AI cloud service platforms. Kimi K3 has approximately 2.8 trillion parameters, making it one of the ultra-large-scale open-source models. According to Moonshot's official evaluation, the model's performance is only slightly behind frontier models like Claude Fable 5 and GPT 5.6 Sol, and the full model weights are expected to be released on July 27.KawzInvests pointed out that a model of this scale cannot run on an ordinary laptop or even a single server; users need a computing cluster composed of a large number of GPUs to complete model loading and inference. When top-tier open-source models are made available for free, the biggest beneficiaries might not be ordinary users, but rather platforms that offer model hosting and inference services. For example, $DOCN (DigitalOcean) already supports serverless inference services for models like Kimi K2.6. Developers do not need to deploy hardware; they can call the model via API and pay per Token. Additionally, the platform hosts over 70 models and covers GPU leasing, model fine-tuning, and AI Agent development tools.As more large-scale open-source models are released, developers' demand for low-barrier AI infrastructure will continue to increase. Model hosting, inference services, and GPU cloud platforms may become key beneficiaries in the open-source AI wave.
: Yesterday, Dark Side of the Moon (Moonshot AI) released its latest open-source AI model, Kimi K3. It ranked first on the Frontend Code Arena test website with a score of 1,679, surpassing the Claude Fable 5 model. Following an evaluation of the K3 model by Artifacial Analysis, Elon Musk once again praised the Kimi model from Dark Side of the Moon, stating that the K3 model's benchmark performance is impressive.In March of this year, when Kimi published the research paper "Attention Residuals: Rethinking the Aggregation of Depth Direction," it received praise from Musk, who said, "Kimi's research work is impressive." Previously, he also stated that the Zhipu GLM model could surpass the Claude Mythos model (i.e., Fable 5) by Q1 2027. In response, Zhipu founder Tang Jie replied, "It won't take that long."
on July 17 that B.AI announced the official launch of the Kimi K3 model on its API platform, achieving seamless integration shortly after the release by @Kimi_Moonshot. As the world's first open-source 3T-level (2.8 trillion parameter) model, Kimi K3 has made significant breakthroughs in long-range programming, complex reasoning, and knowledge work, while natively supporting visual capabilities and 1M ultra-long context. As a model aggregation service platform, B.AI has prioritized the opening of API interfaces this time, allowing developers to directly experience the new generation of model capabilities through B.AI. B.AI will continue to promote the rapid implementation of cutting-edge AI technology and empower developer innovation through efficient and stable interface services.
According to Xinhua News Agency, Beijing Moonshot AI Co., Ltd. officially released the new generation large model Kimi K3 on July 16, with a parameter scale reaching 2.8 trillion, becoming the largest open-source model by parameters globally at present. Kimi K3 natively supports visual understanding, features a 1 million token context window, and is optimized for complex task scenarios such as software engineering, knowledge work, deep research, and multimodal understanding, with a comprehensive intelligence level approaching global frontier closed-source models. The model is trained using a self-developed underlying architecture. Moonshot AI stated that nearly 3 trillion parameters mean the model can store more knowledge and patterns, achieving "knows more, thinks deeper, answers more accurately."
: Fintech platform MoonPay has acquired crypto infrastructure startup Glide and will integrate its deposit and routing technology. Financial terms of the transaction were not disclosed. Glide was founded in 2023 by Tushar Soni and Qinyu Tong, both of whom were part of the Robinhood Wallet team. Glide supports over 100 tokens across 30 blockchain networks, helping applications receive deposits from various tokens, wallets, exchanges, and payment sources. Upon completion of the acquisition, Glide's technology will be integrated into MoonPay Deposits, a product already used by applications such as Wallet in Telegram, Moonshot, and Paysafe. MoonPay stated that this transaction is part of its efforts to expand its digital asset infrastructure capabilities. This is the sixth acquisition announced by MoonPay in 2026, following previous acquisitions of Sodot, Decent, DFlow, Entendre, and Dawn Labs. Its investors include Thrive Capital, Paradigm, Valhalla Ventures, Tiger Global Management, and Coatue.
The PPP Prediction Market tool monitors that Polymarket has listed a new event: "Will the US government revoke public access to another major AI model?" The current probability is reported at 33%.The settlement rules state: If the US federal government, by the end of 2026, passes relevant legislation, issues an executive order, implements export controls, or takes any other action that substantially restricts US public access to a major AI model, the market outcome will be "Yes." Otherwise, the outcome will be "No." A "qualifying action" refers to a formal measure taken by the US government, the effect of which is equivalent to completely prohibiting the public from accessing a specific AI model within the United States. Furthermore, the settlement rules emphasize that regardless of the action's true purpose or nominal goal; if the action effectively results in the public being unable to access the model within the US—for example, prohibiting the model from being provided to foreign citizens or governments, as long as the general public cannot access the model through conventional channels within the US—it meets the qualification requirements. Merely excluding access to the model from a single channel is insufficient. Removals of public access that are not caused by any formal action of the US government are not eligible."Mainstream AI model" refers to the flagship, general-purpose large language model or multimodal foundation model developed by one of the following companies: OpenAI, Anthropic, Google (including Google DeepMind), Meta, xAI, Microsoft, Amazon, Mistral AI, DeepSeek, Alibaba, ByteDance, Moonshot AI, and Zhipu AI (Z.ai). Models designed for specific tasks, or those that are outdated, used solely for research or preview purposes, do not meet this criterion.The action can target a single model or a group of models, as long as at least one major AI model becomes inaccessible to the public within the US as a result. A temporary suspension of public access to a model meets this condition. However, if an action has been implemented or a related resolution has been issued, but the public can still access the model before the resolution takes effect, that action does not meet the condition.The information sources for this market are official announcements and information from the US government and the relevant AI companies. However, reliable media reports may also be referenced to form a consensus.The Odaily Seer Channel continues to monitor prediction markets, observing changes before prices are set.