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Moonshot is building the next-gen mobile gaming playground to redefine the way we play.
Moonshot AI Completes $3.5 Billion Financing, Valuation Reaches $35 Billion
According to Bloomberg, Moonshot AI raised $3.5 billion, exceeding expectations, in a recently completed funding round, with a valuation reaching $35 billion.
Moonshot AI to Open Source 2.8-Trillion-Parameter Kimi K3 Weights, Chinese Open-Weight Model Token Share Rises to 68%
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.
Gate launches KIMIUSDT (Moonshot AI) pre-market perpetual contract trading
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.
Peter Schiff warns that the AI bubble is bursting, as Kimi K3 intensifies low-cost competition pressure
: Economist and Bitcoin critic Peter Schiff stated that as Chinese AI model competitors accelerate their rise, the AI bubble is further deflating. The Kimi K3 launched by Moonshot AI is intensifying low-cost AI competition in China, putting pressure on the valuations of US AI-related companies. The current market "is not a bubble in AI technology itself, but a bubble in AI stocks," and he believes this bubble may have already started to burst.Peter Schiff mentioned that AI-related stocks are showing weakness, with $SPCX currently trading below $121, approximately 11% lower than its IPO price and over 46% down from its all-time high. As low-cost AI models continue to emerge, the market's previously high growth expectations for AI companies may face reassessment, and investors need to be wary of valuation correction risks for AI-themed stocks. However, Peter Schiff also emphasized that AI technology itself is not a bubble; what is truly being impacted is the capital market valuation frenzy centered around the AI theme.
Analysis: Kimi Sparks Wall Street Concerns Over "Second DeepSeek Shock", Funds Flowing Out of High-Valuation Tech Stocks
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.
Moonshot AI reportedly plans to complete its Hong Kong IPO within six months.
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.
Moonshot AI Responds to Allegations of Distilling Fable for K3: Only 15 Days Between Releases
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.
Polymarket shows "US government will ban open-source AI models in 2026" probability currently at 16%
The PPP Prediction Market Tool monitors that on Polymarket, for the event "Will the US government ban open-source AI models in 2026?", the "Yes" probability is currently at 16%.According to the resolution rules, if the US federal government, before December 31, 2026, through legislation, executive orders, export controls, or other formal policy actions, restricts the US public's access or use of a specific open-source AI model, the market outcome will be resolved as "Yes." Otherwise, the market outcome will be resolved as "No." Eligible open-source AI models refer to general-purpose large language models or multimodal foundation models whose model weights and source code are publicly downloadable and can be run on hardware under user control, such as Meta Llama, Mistral, DeepSeek, Qwen, etc.Recently, the open-source Kimi K3 model launched by Moonshot AI has drawn market attention to whether it will impact closed-source AI. OpenAI's Director of Strategy, Dean W. Ball, stated on X platform that the US government might adopt soft legal measures to prevent open-source models from entering the US. David Sacks, Chairman of the President's Council of Advisors on Science and Technology, believes that using regulatory uncertainty to suppress open-source competition is "unacceptable."Join the PPP Signal Push Community to stay ahead and seize the opportunity.
Polymarket new: "Will the US government revoke public access to another major AI model?"
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.
MoonPay Launches First Native Crypto Headless Payment Platform Supporting One-Click Crypto Purchases via Apple Pay
According to PR Newswire, MoonPay has officially launched MoonPay Headless Onramps—the industry’s first native crypto checkout platform enabling one-click crypto purchases via Apple Pay, credit cards, and Google Pay across the U.S., the European Economic Area, and over 100 countries worldwide. In contrast, competing headless payment solutions currently support mobile payments only within the U.S. This product replaces MoonPay’s branded widget with a pure API integration, enabling partners to deliver a fully white-labeled and highly customizable checkout experience—while MoonPay handles payment processing, compliance, and identity verification in the background. Launch partners include Moonshot, Bitcoin.com, Bread, and Trust Wallet. Notably, Apple Pay is now fully embedded into partner apps for the first time: verified users can complete purchases with a single tap—no redirects or re-verification required.
Chinese companies including Moonshot AI weigh corporate restructuring following the reversal of the Meta-Manus deal
The immediate trigger for this regulatory tightening was Meta’s $2 billion acquisition of Manus—a China-founded AI agent company—after which relevant authorities ordered the deal’s reversal and launched a systematic review of the “domestically operated, offshore-registered” corporate model. Dismantling a red-chip structure is procedurally complex, typically taking six months to one year and involving multiple steps—including repurchasing offshore equity, establishing a joint venture, and having investors re-invest. Moreover, shares of such joint ventures listed in Hong Kong are subject to a 12-month lock-up period—twice as long as that for ordinary red-chip stocks. Analysts note that if red-chip structures face comprehensive restrictions, Chinese startups’ ability to raise U.S. dollar funding from overseas will be significantly weakened.
Manus Acquisition Plan Halted, Multiple Chinese AI Companies Evaluate Dismantling Red-Chip Structures to Advance Hong Kong IPO
: Following the halt of the acquisition plan for AI agent company Manus, the China Securities Regulatory Commission (CSRC) has tightened its review of red-chip structure enterprises seeking Hong Kong IPOs. Several AI companies planning to go public have begun evaluating the dismantling of their overseas structures and a return to domestic entities. Moonshot AI is currently in communication with lawyers regarding structural reorganization, but has not yet made a final decision. Stepfun has already initiated the process of dismantling its overseas holding structure, believing that transitioning to a domestic entity will help shorten the approval cycle. DeepRoute.ai is also conducting a similar evaluation. Industry insiders point out that dismantling a red-chip structure typically takes 6 to 12 months, involving processes such as equity buybacks, establishing joint venture entities, and tax handling. Currently, regulators have not issued a comprehensive ban, but have been inquiring about the overseas holding situations of relevant companies. (The Information)
Wintermute Weekly Report: CPI Falls More Than Expected Amid Escalating Iran Tensions, BTC Closes Higher Against Trend to Become Week's Strongest Risk Asset
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
Analysis: Kimi Sparks Wall Street Concerns Over "Second DeepSeek Shock", Funds Flowing Out of High-Valuation Tech Stocks
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.
Analyst: Kimi K3 Ultra-large Model to Be Open-Sourced Soon, AI Infrastructure Platforms May Be the Biggest Beneficiaries
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.
B.AI’s “Self-Selected Service Provider” Program Expands Again: Access to Leading Models + Four-Tier Discount Plans Enable Compute Freedom
The B.AI platform’s “Self-Selected Service Provider” model matrix has officially expanded, newly integrating leading large language models including Moonshot (Kimi series) and Z.ai (GLM series). This module offers four discount tiers: 90%, 60%, 40%, and 20% off. Users can generate a personalized “discounted model API key” with a single click, enabling seamless switching between core business operations and routine testing—achieving an optimal balance of high availability and low cost. Moreover, all discounts can be stacked with up to a 1:1 top-up bonus, further lowering the barrier to compute access. Starting today, log in to the B.AI console to customize your专属 model portfolio and enter a new era of AI API calls delivering unmatched value.
Perplexity CEO: GLM 700B Parameter Model Performance Close to Opus Level
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.
Kimi K3 Launches on Cursor, Users Report Silky Smooth Experience
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.
Kimi K3 Released, Gap Between Open-Source and Closed-Source Models Narrows to 4 Points
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 Releases Kimi K3 Open-Weight Multimodal Model
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.
Moonshot AI to Open Source 2.8-Trillion-Parameter Kimi K3 Weights, Chinese Open-Weight Model Token Share Rises to 68%
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.
Kimi K3 正式上线 B.AI Web Chat，网页端开放体验
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。
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月之暗面已完成股份制改造，企业名称变更为“北京月之暗面科技股份有限公司”，公司类型由有限责任公司变更为非上市股份有限公司。此次调整通常被视为企业推进境外上市前的重要步骤。工商信息显示，杨植麟担任董事长兼经理，张予彤新增为董事，宋思嘉新增为财务负责人。
Moonshot AI Completes $3.5 Billion Financing, Valuation Reaches $35 Billion
According to Bloomberg, Moonshot AI raised $3.5 billion, exceeding expectations, in a recently completed funding round, with a valuation reaching $35 billion.
Perplexity CEO: GLM 700B Parameter Model Performance Close to Opus Level
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.
Kimi K3 Launches on Cursor, Users Report Silky Smooth Experience
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.
Kimi K3 Released, Gap Between Open-Source and Closed-Source Models Narrows to 4 Points
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 Releases Kimi K3 Open-Weight Multimodal Model
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.