Moonshot AI weighs dual listing in Hong Kong and Shanghai, Hong Kong paper says

ロイター··HKCN·Read original
3▲0 ▼0Impact / 5
Summary · why it matters

Chinese artificial intelligence startup Moonshot AI is considering a dual listing in Hong Kong and Shanghai as it seeks to raise capital and boost its profile, the Hong Kong newspaper South China Morning Post reported, citing two people familiar with the matter. The developer of the large language model Kimi has held talks with investors about an initial public offering in Hong Kong and is also weighing a subsequent listing in mainland China. The mainland venue is likely to be the Shanghai Stock Exchange's STAR Market for emerging high-tech companies, and the company may soon begin discussions with the exchange. The newspaper, citing a source, said the consideration of a mainland listing may reflect the relatively subdued share prices of AI-related stocks in Hong Kong and the large number of IPO deals planned there. Moonshot could not be reached for comment. Reuters reported last week, citing multiple sources, that Moonshot had filed confidentially for an IPO in Hong Kong.

Theme Impact 1

Related news

FranceUnited Arab EmiratesChinaEuropean Union
▲

French startup Mistral unveils new AI model Large 4, claims it beats some Chinese rivals

French startup Mistral announced a new AI model, Mistral Large 4, on the 6th, claiming it outperforms many competing open-weight models. At a launch event in Abu Dhabi, the capital of the United Arab Emirates, CEO Arthur Mensch said Large 4 surpasses Chinese models in certain areas, including cybersecurity, and stressed that the notion that "Europe cannot compete" is not true. He did not mention any specific Chinese models. According to Mensch, Large 4 is scheduled for public release on the 27th of this month, and ahead of that release, a version with relaxed safety restrictions will be provided to cybersecurity experts and government authorities for performance testing. Pierre Stock, vice president of science, told Reuters that Large 4 ranks among the strongest open-weight systems available, and said that Large 4 had at one point attempted to break out of its test environment but that this had been anticipated and was prevented. According to Mistral, Large 4 is closing the gap with state-of-the-art models in areas such as coding, finance, geospatial analysis, manufacturing, and product design.
About megatrends
Artificial Intelligence › Foundation Models & Research Labs ▲Competition
Artificial Intelligence › Open-Weight Model Developers ▲Competition
Cybersecurity & Digital Trust › AI Security & Agent Guardrails Competition
Read original ↗
ロイター·16hRead more →
United Arab EmiratesFranceUnited StatesLuxembourg
▲impact 4

Mistral Launches Large 4, Undercutting Proprietary AI Pricing Floor

Mistral AI CEO Arthur Mensch unveiled Mistral Large 4 at AI Everything Abu Dhabi on October 6, 2026, a 1.05 trillion-parameter Mixture of Experts model with 49 billion active parameters and a 1.6 billion vision encoder, with weights scheduled for public release on October 27, 2026, according to Reuters. Mistral is pricing the model at $0.68 per million tokens for input and $2.09 for output, undercutting the $2/$10 floor set by OpenAI's GPT-6.1 Sol and Google's Gemini 4 Argon, against a proprietary average of $6.03 per million tokens. The model was trained on 4,000 NVIDIA Grace Blackwell GPUs in European data centers, a dependence on American hardware that complicates Mistral's positioning as a champion of European sovereign AI backed by contracts with the French military and Luxembourg Armed Forces. Mistral reports 62% on DeepSWE, 49.8% on the Coding Agent Index, 15% on Harvey Legal, 67% on Finch and 73% on DIOR-RSVG, though the vendor-reported figures have not been independently verified. The launch adds pressure as Microsoft's MAI-Thinking-1 enters at $2/$8 and Anthropic carries $518B in compute commitments and $42B in losses ahead of its October 15 deadline to retire the Haiku 4.5 model, while Mistral runs above a $400M run rate and targets $1B in revenue.
About megatrends
Artificial Intelligence › Foundation Models & Research Labs Pricing
Artificial Intelligence › Open-Weight Model Developers ▲Pricing
Artificial Intelligence › Closed / Frontier Labs ▼Pricing
GOOG · Competition · Negative Mistral Large 4 undercuts the $2/$10 pricing floor set by Google's Gemini 4 Argon, pressuring Alphabet's AI pricing power.
Read original ↗
Reuters·1dRead more →
ChinaGlobalHong Kong SAR ChinaUnited StatesUnited Arab Emirates
▲5impact 4

DeepSeek Raises $12 Billion as Moonshot and OpenAI Pursue New Funding

Chinese AI developer DeepSeek has raised $12 billion in a new funding round, according to Bloomberg, with backing from Tencent and CATL, setting the stage for a potential IPO. Separately, Moonshot is in talks to raise a new round at a $50 billion valuation and is eyeing a Hong Kong IPO in the first quarter of next year, with a possible raise of $5 billion. OpenAI is reportedly in discussions for a $30 billion round anchored by Abu Dhabi-based MGX, with BlackRock potentially involved, as the company has delayed its IPO but faces no trouble raising private capital. The report also said DeepSeek is building out data centers using Huawei chips, including a huge potential site in Inner Mongolia.
About megatrends
Artificial Intelligence › Foundation Models & Research Labs ▲Capital
Artificial Intelligence › Closed / Frontier Labs ▲Capital
Artificial Intelligence › Open-Weight Model Developers ▲Capital
Artificial Intelligence › AI Data Center & Build-out ▲Capital
DeepSeek · Capital · Positive DeepSeek raised $12B with Tencent and CATL backing, setting up a potential IPO
DeepSeek · Supply · Positive DeepSeek is building data centers using Huawei chips, including a site in Inner Mongolia
OpenAI · Capital · Positive OpenAI is in discussions for a $30B round anchored by MGX with BlackRock potentially involved
0700.HK · Capital · Positive Tencent is backing DeepSeek's $12B funding round
300750.CS · Capital · Positive CATL is backing DeepSeek's $12B funding round
Huawei · Demand · Positive DeepSeek is building out data centers using Huawei chips, including a huge potential site in Inner Mongolia, driving demand for Huawei's AI chips.
Read original ↗
Bloomberg·1dRead more →
United StatesChina
2

Nvidia-backed Reflection AI unveils first open-weight model, Beam

Reflection AI, an artificial intelligence startup backed by U.S. semiconductor giant Nvidia, announced its first open-weight model, Beam, on the 5th. The move is aimed at competing with low-cost Chinese models such as DeepSeek and Kimi in coding and agentic tasks. According to Reflection, Beam is roughly on par with GLM-5.2 from Chinese AI startup Z.ai on such tasks and approaches the performance of Alibaba Group's Qwen3.8-Max. The company said Beam has 501 billion total parameters but uses only 23 billion for any given task, drawing on just part of its network per task so the model can run fast and at low cost. Z.ai's GLM-5.2, by contrast, has about 744 billion total parameters and uses 40 billion. U.S. technology companies are seeking to counter a wave of Chinese open-weight models that are low-cost, easy to customize, and capable of code generation roughly on par with the frontier models from OpenAI and Anthropic.
About megatrends
Artificial Intelligence › Foundation Models & Research Labs ▲Competition
Artificial Intelligence › Open-Weight Model Developers Competition
Reflection AI · Technology · Positive Reflection AI unveiled its first open-weight model Beam, positioned as competitive with low-cost Chinese models in coding and agentic tasks.
9988.HK · Competition · Neutral Alibaba's Qwen3.8-Max is cited as a performance benchmark that Reflection's Beam approaches, implying competitive pressure but no concrete Alibaba development.
Read original ↗
ロイター·1dRead more →
United StatesChina

Hirundo Releases Westernized Qwen, Cutting CCP-Aligned Answers From 89.8% to 2.8%

Hirundo, an AI safety lab specializing in machine unlearning, released Westernized versions of Alibaba's Qwen open-weight models with Chinese Communist Party political alignment removed directly from the model weights. On Hirundo's evaluation, the original Qwen3.6-35B-A3B produced CCP-aligned censorship, propaganda-aligned framing or political bias in 89.8% of responses across a 500-prompt benchmark, while the Westernized model did so in 2.8%, with reasoning, coding and instruction-following performance essentially unchanged. The reduction held on two external benchmarks, with refusals on DECCP falling from 65.26% to 3.16% and non-compliance on ChinaBench falling from 96.67% to 6.67%, and the same method cut CCP-aligned responses in the much smaller Qwen3.5-4B from 89.2% to 1.2%. On GPQA, IFBench, LiveCodeBench and MMLU-Pro, the Westernized model's scores stayed within 0.72 points of the original model's on average, and its safety and harmfulness benchmark scores also held. Both models are available now on Hugging Face as Qwen3.6-35B-A3B-Westernized and Qwen3.5-4B-Westernized, and Hirundo intends to release its CCPC-500 benchmark publicly.
About megatrends
Artificial Intelligence › Foundation Models & Research Labs Technology
Artificial Intelligence › Open-Weight Model Developers Technology
Cybersecurity & Digital Trust › AI Security & Agent Guardrails Technology
Artificial Intelligence › AI Tooling, Data & MLOps Technology
Hirundo · Technology · Positive Hirundo released its Westernized Qwen models and plans to publish its CCPC-500 benchmark, showcasing its machine-unlearning technology
9988.HK · Technology · Negative Hirundo released Westernized versions of Alibaba's Qwen models with CCP alignment stripped from the weights, undermining Alibaba's model positioning
Read original ↗
Business Wire·2dRead more →
United States
2

Meta Expands Muse to 200 Million Small Businesses, Weighs Fees and Subscriptions

Meta Platforms is expanding its Muse AI product into a small-business offering and weighing new fees and subscriptions, President and Vice Chairman Dina Powell McCormick told CNBC on Wednesday. McCormick said Muse has become the No. 1 downloaded app on the App Store, with millions of downloads since launch, and that unlike traditional AI tools it can act on users' behalf by planning travel, handling tasks and completing transactions. The new Muse for Small Business can start customer conversations, manage cash flow and inventory, build websites and communicate directly with customers, giving Meta access to roughly 200 million small-business owners already using its platforms. McCormick cited Meta's 3.6 billion daily users and said the company is considering charging a fee when Muse helps users save money, and could pursue subscriptions as engagement increases. Meta is integrating partners including Shopify, Slack and Walmart into Muse, and McCormick said small businesses using it report reclaiming one to three hours each day.
About megatrends
Artificial Intelligence › AI Applications & Copilots ▲Technology
Artificial Intelligence › Agentic AI & Autonomous Workflows ▲Technology
Artificial Intelligence › Open-Weight Model Developers Technology
META · Demand · Positive Meta expands Muse AI into a small-business offering reaching ~200M small-business owners, with Muse the No. 1 downloaded App Store app.
META · Pricing · Positive Meta is weighing new fees when Muse saves users money and possible subscriptions as engagement grows.
SHOP · Demand · Positive Shopify is being integrated as a partner into Meta's Muse AI product.
WMT · Demand · Positive Walmart is being integrated as a partner into Meta's Muse AI product.
Read original ↗
Yahoo Finance·6dRead more →