Moonshot AI, the Chinese AI company behind **Kimi**, has reportedly completed a Series F financing round of **more than** $3.5 billion**, pu...
Moonshot AI, the Chinese AI company behind Kimi, has reportedly completed a Series F financing round of more than $3.5 billion**, pushing its post-money valuation to approximately **$35 billion.
The pace of the fundraising is almost as notable as the size.
According to multiple Chinese financial-media reports on July 29, 2026, investor demand exceeded the company’s original fundraising target by more than three times. The Series F was therefore closed earlier than planned.
Moonshot AI had originally been expected to begin its next financing discussions in August. Instead, the company has reportedly already started its Series G, described by the reports as its Pre-IPO round, at a target pre-money valuation of $50 billion.
The company has not publicly issued a detailed financing announcement confirming the round size, investor list, or final Pre-IPO terms. These figures should therefore be treated as well-sourced media reports rather than company-filed transaction data.
The financing arrives immediately after the release and open-weight publication of Kimi K3, Moonshot AI’s 2.8-trillion-parameter multimodal model.
The central financing figure reported across AIBase, The Paper, 21st Century Business Herald, and other Chinese outlets is straightforward:
| Series F Detail | Reported Figure |
|---|---|
| Financing amount | More than $3.5 billion |
| Post-money valuation | About $35 billion |
| Investor demand | More than 3× the original target |
| Closing schedule | Closed earlier than planned |
| Company | Moonshot AI / Kimi |
The round is unusually large for a private Chinese AI company.
Earlier reports had described the financing as being conducted at approximately a **$31.5 billion pre-money valuation**. The newly reported post-money valuation of roughly $35 billion is broadly consistent with that earlier framing once the new capital is included.
Because the final amount is described as “more than $3.5 billion,” the published valuation numbers should be understood as rounded transaction figures rather than exact cap-table calculations.
The more interesting detail is the level of investor demand.
People familiar with the financing told Chinese financial media that subscriptions exceeded the target by more than three times.
Rather than continue accepting capital until the previously planned deadline, Moonshot AI reportedly closed the round early.
Oversubscription does not automatically prove that a company will justify its valuation in the long run. It does, however, show that available allocation in the round was significantly smaller than investor demand.
For Moonshot AI, the timing also matters.
The fundraising took place while Kimi K3 was attracting attention for:
The financing therefore came at a moment when both technical visibility and investor interest were unusually high.
The next round had previously been expected to begin in August.
According to the latest reports, that schedule has moved forward.
Moonshot AI has reportedly already started discussions for its Series G / Pre-IPO round, with a target pre-money valuation of $50 billion.
People close to the fundraising told The Paper that demand is again strong and that the round could close relatively soon.
That does not mean the $50 billion financing has been completed.
At the time of writing:
This distinction is important because early fundraising discussions can change before legal closing.
The two headline valuations refer to different stages.
The reported $35 billion figure describes Moonshot AI after the Series F capital is included.
The reported $50 billion figure describes the value investors would assign to the company before new money from the next round is added.
The Pre-IPO valuation is therefore not simply another description of the completed Series F.
It represents a new financing step at a substantially higher proposed valuation.
The $50 billion figure did not first appear on July 29.
Bloomberg-linked reporting and Chinese financial outlets had already reported in the previous week that Moonshot AI planned to begin a final pre-IPO fundraising round in August with a target valuation of up to $50 billion.
Those earlier reports said:
The July 29 reports update that timeline in two ways:
The new information therefore looks more like an acceleration of an existing financing plan than a completely new strategy.
Moonshot AI introduced Kimi K3 in mid-July and released its full model weights on July 27.
The model is important to the financing story because it has become the company’s clearest technical flagship.
Moonshot AI describes Kimi K3 as:
The company says K3 activates 16 of 896 experts and uses architectural and training improvements intended to increase scaling efficiency.
These are Moonshot AI’s official model specifications and technical claims, separate from the financing reports.
The complete Kimi K3 model repository is now public through Moonshot AI’s official GitHub organization and Hugging Face account.
The release includes:
Moonshot AI’s license allows broad use, modification, deployment, fine-tuning, and redistribution subject to its stated terms.
This open-weight strategy is relevant to the company’s valuation because it gives Kimi a path to adoption beyond Moonshot AI’s own hosted product.
Developers can:
That creates a larger ecosystem than a closed consumer chatbot alone.
Moonshot AI positions Kimi K3 around agentic work rather than only conversational question answering.
Its official launch material highlights several categories.
K3 is designed to navigate large repositories, use terminal tools, and work across extended software-engineering sessions.
Moonshot AI has demonstrated the model on tasks including compiler development, GPU-kernel optimization, game development, CAD, and chip-design experiments.
The company also positions K3 for research and office-style workflows that combine:
K3 processes text, images, and video within the same model family.
This allows visual information to remain part of an agent’s workflow rather than being handled only through a separate image model.
The capabilities help explain why investor attention is not centered only on Kimi’s consumer chat product.
Moonshot AI is trying to compete at the foundation-model, developer-platform, agent, and enterprise levels at the same time.
Open-weight releases are sometimes framed as being in conflict with commercial value.
In practice, the relationship is more complicated.
An open-weight model can create several routes to revenue:
Moonshot AI’s official Kimi K3 page provides both downloadable weights and paid API access.
At the time reviewed for this article, the official API listed Kimi K3 pricing at:
| Kimi K3 API Usage | Official Listed Price |
|---|---|
| Cache-hit input | $0.30 per million tokens |
| Cache-miss input | $3.00 per million tokens |
| Output | $15.00 per million tokens |
The company says its inference architecture achieves high cache-hit rates in coding workloads.
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API prices and product terms can change, so production users should verify the current pricing page before making cost assumptions.
Separate media reports citing people familiar with Moonshot AI have said the company’s annual recurring revenue reached approximately $300 million in June**, up from roughly **$100 million in March.
These figures have been reported by Bloomberg-linked outlets and other financial media, but they have not been independently audited in public financial statements.
They matter because AI valuations are increasingly being judged on more than model benchmarks.
Investors want evidence that model capability can translate into:
Moonshot AI’s reported revenue trajectory, combined with Kimi K3’s technical launch, helps explain why its financing discussions accelerated so quickly.
After the K3 launch, Chinese media reported that demand pushed Moonshot AI’s infrastructure close to capacity.
The company temporarily prioritized existing paid users rather than continuing to expand new consumer subscriptions at the same pace.
This is a useful reminder that model popularity creates infrastructure costs.
A frontier-model company needs capital not only for research, but also for:
A multi-billion-dollar financing round can therefore support both the next model and the infrastructure required to serve the current one.
Moonshot AI’s valuation has changed rapidly during 2026.
In May, TechCrunch and Forbes reported that the company was raising approximately $2 billion** at a valuation around **$20 billion.
By June and July, reports placed the company’s next financing at a much higher valuation.
The latest Series F report now puts Moonshot AI at around $35 billion post-money**, while the Pre-IPO round is targeting a **$50 billion pre-money valuation.
The speed of that progression is unusual even by frontier-AI standards.
It also creates a higher bar.
As valuations rise, investors will expect the company to continue demonstrating:
The term Pre-IPO does not guarantee that an initial public offering will occur on a fixed schedule.
It usually refers to a private financing round conducted when a company is already actively considering or preparing for a public listing.
Reports have said Moonshot AI may pursue a Hong Kong IPO and has shared listing-related proposals with investors.
The company itself had not publicly confirmed a final IPO timetable in the sources reviewed for this article.
A Pre-IPO round can still be followed by:
Readers should therefore distinguish “Pre-IPO fundraising” from “IPO approved.”
The financing story combines several types of evidence.
| Claim | Status |
|---|---|
| Kimi K3 exists and is Moonshot AI’s current flagship model | Officially confirmed |
| Kimi K3 has 2.8T parameters and 1M context | Officially confirmed by Moonshot AI |
| Full Kimi K3 weights were published | Officially confirmed |
| Series F raised more than $3.5B | Reported by multiple financial-media sources |
| Series F post-money valuation is about $35B | Reported by multiple financial-media sources |
| Investor demand exceeded target by more than 3× | Reported by financial-media sources |
| Series F closed early | Reported by financial-media sources |
| Series G / Pre-IPO round has begun | Reported by financial-media sources |
| Pre-IPO target is $50B pre-money | Reported by multiple outlets |
| Pre-IPO round has already closed | Not confirmed |
| Moonshot AI has a finalized Hong Kong IPO date | Not confirmed |
Keeping those categories separate prevents a fast-moving fundraising story from turning preliminary deal terms into facts.
The original AIBase report is primarily about financing rather than a broader market analysis.
Still, the funding can be understood through three immediate factors.
Kimi K3 gave investors a fresh technical event to evaluate.
The full model can spread through developers, cloud providers, enterprises, and independent inference platforms.
Media reports of rapidly rising recurring revenue give investors a business metric alongside the technical story.
Together, those factors create a stronger fundraising narrative than model performance alone.
A large financing round does not remove the basic risks of the frontier-model business.
Moonshot AI still needs to manage:
Kimi K3’s 2.8-trillion-parameter scale is also demanding to deploy.
Moonshot AI’s own documentation recommends large supernode configurations with 64 or more accelerators for efficient serving.
An open model may be freely downloadable while still being expensive to run at full scale.
The most immediate question is whether the reported $50 billion target is maintained when the Series G closes.
The identity and allocation of investors will show which strategic and financial institutions are backing Moonshot AI at this stage.
Any formal filing, restructuring announcement, exchange documentation, or underwriter appointment would provide stronger evidence of the listing timetable.
GitHub, Hugging Face, API usage, enterprise deployment, cloud integration, and developer activity will show whether K3’s launch translates into durable adoption.
If reported ARR continues growing, investors will want to know how much comes from repeatable enterprise and API usage rather than short-term launch demand.
Moonshot AI is expected to keep pushing its model roadmap. The next generation will need to justify the much higher valuation expectations now being attached to the company.
Multiple Chinese financial-media reports say Moonshot AI completed a Series F of more than $3.5 billion. The company’s reported post-money valuation is approximately $35 billion.
Not from the completed Series F. The $50 billion figure is the reported pre-money target for the company’s newly started Series G / Pre-IPO round.
People familiar with the financing told Chinese media that investor subscriptions exceeded the original target by more than three times. The strong demand reportedly led Moonshot AI to close the round ahead of schedule.
No completed Series G transaction has been publicly confirmed in the sources reviewed here. Reports say discussions began earlier than planned and could move quickly, but final terms have not been announced.
Media reports say the company is preparing for a possible Hong Kong listing and describes the Series G as a Pre-IPO round. Moonshot AI has not publicly announced a final listing date.
Kimi K3 is Moonshot AI’s open-weight 2.8-trillion-parameter multimodal model. It supports a one-million-token context window and is designed for long-horizon coding, agentic knowledge work, reasoning, and visual tasks.
Yes. Moonshot AI released the full weights through its official GitHub and Hugging Face repositories under the Kimi K3 License.
The model gives Moonshot AI a current frontier product, an open-weight developer ecosystem, and a paid API offering. Investors are also evaluating reported revenue growth and whether K3 adoption can translate into durable commercial demand.
Moonshot AI has reportedly completed a Series F of more than $3.5 billion at a post-money valuation of roughly $35 billion. The round was heavily oversubscribed and closed ahead of schedule.
The company’s next Series G / Pre-IPO round, previously expected to begin in August, is now reported to be underway with a target pre-money valuation of $50 billion. That round has not yet been publicly confirmed as completed.
The financing acceleration comes immediately after the launch and full open-weight release of Kimi K3, Moonshot AI’s 2.8-trillion-parameter multimodal model with a one-million-token context window.
The key development is not only the size of the Series F, but the speed at which Moonshot AI has moved from a $35 billion post-money round into negotiations around a $50 billion Pre-IPO valuation.
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