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China’s latest AI model claims to be even cheaper to use than DeepSeek

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The World Artificial Intelligence Conference kicked off in Shanghai on Saturday, July 26, 2025.

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BEIJING — Chinese companies are making smarter artificial intelligence models that are increasingly cheaper to use, echoing key aspects of DeepSeek’s market-shaking breakthrough.

Startup Z.ai, formerly known as Zhipu, announced Monday that its new GLM-4.5 AI model would cost less than DeepSeek to use. In contrast to the logic underlying existing AI models, Z.ai said its new GLM-4.5 is built on what’s known as “agentic” AI, meaning that the model automatically breaks down a task into sub-tasks in order to complete it more accurately.

The new model is also open sourced, meaning it is free for developers to download and use.

At about half the size of DeepSeek’s model, GLM-4.5 only needs eight Nvidia H20 chips to operate, Z.ai CEO Zhang Peng told CNBC on Monday.

That’s the chip Nvidia customized for China in order to comply with U.S. export controls. The chipmaker said this month that the U.S. will allow it to resume those China sales after a three-month pause, but it’s unclear when those shipments will begin.

Zhang said the company doesn’t need to buy more of the chips as it has enough computing power for now, but declined to share how much Z.ai spent on training the AI model. Details will be released later, he said.

Trump's AI strategy understands 'denying the chips doesn't work': CSIS

Back in January, DeepSeek had rattled global investors with its apparent ability to defy U.S. chip restrictions and create an AI model that not only rivaled U.S.-based OpenAI’s ChatGPT, but also undercut it in training and operating costs.

DeepSeek claimed training costs for its V3 model were less than $6 million, although some analysts said that figure was based on the company’s hardware spend of more than $500 million over time.

Z.ai said that for its new GLM-4.5 model, it would charge 11 cents per million input tokens versus 14 for DeepSeek R1; and 28 cents per million output tokens versus $2.19 for DeepSeek. Tokens are a way of measuring data for AI model processing.

Earlier this month, Alibaba-backed Moonshot released Kimi K2, which claimed to beat OpenAI’s ChatGPT and Anthropic’s Claude on certain coding capabilities. Kimi K2 charges 15 cents for every 1 million input tokens, and $2.50 per 1 million output tokens, according to its website.

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In late June, OpenAI named Zhipu in a warning about Chinese AI progress. The U.S. has also added the startup to its entity list that restricts American companies from doing business with it.

Z.ai launched in 2019 and is reportedly planning an initial public offering in Greater China.

The startup has raised more than $1.5 billion from investors including Alibaba, Tencent and Qiming Venture Partners, according to PitchBook. Aramco-backed Prosperity7 Ventures as well as municipal funds from the cities of Hangzhou and Chengdu are also among Z.ai’s backers, the database showed.

In the last few weeks, several other Chinese companies have announced new, open-source AI models. During the World AI Conference in Shanghai, Tencent released the HunyuanWorld-1.0 model for generating three-dimensional scenes for game development. Last week, Alibaba announced its Qwen3-Coder model for writing computer code.

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Big Tech Enterprise Borrowing Reaches $135 Billion as Hyperscalers Fund AI Infrastructure

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Big Tech Enterprise Borrowing Reaches $135 Billion

Corporate debt markets are undergoing a major structural shift as major technology hyperscalers execute unprecedented debt offerings to finance large-scale artificial intelligence infrastructure. According to institutional market estimates, the annual value of debt issued by top technology firms reached $135 billion in 2026, marking a massive increase from the $35 billion annual average recorded between 2020 and 2024. This wave of corporate borrowing reflects the immense capital required to build next-generation data centers, secure specialized silicon, and build energy infrastructure.

The scale of AI-driven capital expenditures is reshaping corporate finance frameworks. While tech giants historically maintained fortress balance sheets dominated by cash reserves and minimal debt liabilities, the speed of the AI infrastructure deployment race has led corporate treasurers to access debt capital markets. These multi-billion-dollar corporate bond issuances are competing directly with sovereign debt for institutional investment capital.

Credit rating agencies and fixed income analysts are evaluating the long-term balance sheet implications of this corporate borrowing boom. While technology hyperscalers possess substantial revenue streams and strong operating margins, the high interest rate environment means new debt issuances carry higher coupon burdens. Financial analysts are closely tracking return-on-investment (ROI) metrics to ensure capital outlays generate sufficient cash flow to service expanding debt obligations over the coming decade.

Despite elevated borrowing costs, primary market demand for high-grade technology bonds remains robust. Institutional asset managers, pension funds, and insurance firms are absorbing new issuances, attracted by investment-grade credit ratings and attractive yields. However, the concentration of corporate debt issuance within the technology sector highlights growing exposure to enterprise technology spend cycles.

Why This Information Matters
The massive surge in technology sector debt issuance impacts broader credit markets and institutional liquidity. For corporate leaders and investors, understanding how major enterprise tech firms fund infrastructure expansion provides key insights into market interest rate dynamics, corporate credit availability, and the long-term ROI expectations driving modern corporate finance.

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S&P 500 Outperforms Amid Strong Corporate Earnings as Treasury Yields Cap Equity Multiples

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S&P 500 Outperforms Amid Strong Corporate Earnings as Treasury Yields Cap Equity Multiples

Financial markets opened September on a firm footing following a solid performance in August, where the S&P 500 gained 2.6% and the tech-heavy Nasdaq Composite rose 3.9%. Corporate earnings across major index constituents showed impressive momentum, with S&P 500 year-over-year earnings growth topping historic averages. However, despite robust corporate balance sheets, equity market valuations face headwinds as benchmark 10-year Treasury yields remain elevated near 4.75%.

The current financial environment is characterized by a strong divergence between corporate earnings resilience and bond market pressure. Enterprise technology leaders, financial institutions, and consumer sectors reported strong profit margins, benefiting from operational efficiency gains and disciplined cost management. Yet, institutional investors remain cautious about expanding price-to-earnings multiples when risk-free benchmark bond yields offer yields near 4.7%.

Fixed income markets continue to reflect restrictive monetary conditions. The broader aggregate bond market recorded flat total returns year-to-date, while fixed income yields—such as 30-day SEC yields on core bond funds—stayed above 4.6%. This yield profile provides institutional and retail investors with meaningful cash flow returns without taking on equity market downside risk, creating a competitive alternative for institutional capital allocation.

Portfolio managers and investment strategists recommend a disciplined, quality-oriented approach entering the final quarter of 2026. Rather than chasing speculative momentum, capital flows are favoring companies with strong cash flow generation, low debt-to-equity ratios, and robust pricing power capable of withstanding elevated input costs.

Why This Information Matters
The tension between strong corporate earnings and elevated bond yields directly impacts portfolio allocations and retirement wealth. Individual investors and wealth managers must balance equity market participation with fixed-income yield opportunities, ensuring portfolios are diversified against sudden valuation adjustments caused by fluctuating benchmark interest rates.

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Treasury Bond Volatility Forces Bessent to Double Debt Buyback Size as Yields Swing

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Bessent

A turbulent week in the U.S. Treasury market prompted the Treasury Department to sharply increase the size of its long-term debt buyback program, as bond prices fell even while equity markets pushed toward record highs. The divergence has drawn attention from fixed-income strategists who see it as a signal of underlying investor unease about federal borrowing levels.

What Happened This Week

U.S. Treasury Secretary Scott Bessent told CNBC on Thursday, August 20, 2026, that the Treasury had doubled the size of its long-term debt buyback operations, moving from roughly $2 billion to at least $4 billion per operation. Bessent indicated the figure could climb further, saying “we’re going to increase the size of the buyback,” and noted the accelerated pace could exceed the announced $4 billion threshold per issue.

Buybacks allow the Treasury to repurchase outstanding government bonds directly from the market, which can help support prices and dampen yield volatility during periods of stress. The expanded program came as stocks staged a late-week recovery: the S&P 500 and Russell 2000 both advanced on Friday, August 21, even as Treasuries logged mild losses, according to Bloomberg market data.

Why Bond and Equity Markets Are Diverging

Capital.com senior market analyst Daniela Hathorn described the week’s dynamic as markets “ending the week on a softer tone after the relative calm of early August was disrupted by renewed pressure in global bond markets, another rise in oil prices, and growing uncertainty around the Federal Reserve’s next move.” She noted that higher long-term borrowing costs are increasingly challenging elevated equity valuations, even as U.S. equities pull back modestly from record highs.

This divergence — equities near record levels while bonds sell off  is unusual and reflects two different sets of investor concerns. Equity investors have remained focused on corporate earnings strength, particularly from large technology companies ahead of Nvidia’s closely watched August 26 earnings report. Bond investors, by contrast, are more directly exposed to concerns about the scale of federal borrowing, highlighted this week by the national debt crossing the $40 trillion threshold for the first time.

The Fed and Treasury “Working in Opposite Directions”

Wilmington Trust senior bond portfolio manager Wil Stith told Yahoo Finance that current conditions reflect “the Fed and the Treasury basically working in sort of opposite directions,” adding that the imbalance will likely require the Federal Reserve  which he described as having “the larger sandbox”  to adjust the federal funds rate rather than relying on Treasury market interventions alone to manage yields.

Notably, the bond market’s reaction to the Treasury’s buyback expansion was relatively muted; strategists described the move as being largely absorbed without a major rally, suggesting the underlying pressure on yields stems from factors, such as inflation persistence and debt sustainability concerns, that a buyback program alone cannot resolve.

What Comes Next

Markets are now looking to two major events in the days ahead: Nvidia’s earnings report on Wednesday, August 26, and the Federal Reserve’s Jackson Hole Economic Symposium, running August 27-29. This will be the first Jackson Hole gathering under new Fed Chair Kevin Warsh, whose public communication style and policy signals remain less established than his predecessors’, according to market commentary from Regards of Wall Street.

For investors, the key metrics to watch are the size and frequency of future Treasury buyback operations, movements in the 10-year Treasury yield, and any policy signals from Warsh’s keynote address. Continued yield volatility alongside record equity valuations would suggest the market imbalance identified this week has not yet been resolved.

 

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