Hong Kong allows Evergrande liquidators to sue PwC's global network
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Noticias ao Minuto
noticiasaominuto.com

Hong Kong allows Evergrande liquidators to sue PwC's global network

A decision issued on Wednesday in Hong Kong authorizes the liquidators of Evergrande to take action against PwC International, the entity managing the consulting firm's worldwide network, as well as against its branches located in Hong Kong and mainland China, which were responsible for auditing Evergrande's accounts. This news was reported by the Financial Times (FT).

The liquidators are claiming approximately $8.4 billion (equivalent to €7.2 billion) in compensation from the three entities. This claim follows various regulators determining that PwC auditors in Hong Kong and mainland China failed to meet professional standards when endorsing the real estate developer's financial statements.

Patrick Fung, an Associate Judge of the High Court of Hong Kong, stated that it is minimally justifiable for PwC International to have a duty of care towards Evergrande. He also emphasized the importance of document disclosure and responses to inquiries, believing this will help clarify the case.

This determination is a victory for Eddie Middleton and Tiffany Wong, both from the consultancy Alvarez & Marsal, who were appointed as Evergrande's liquidators. According to the FT, these two executives directed much of their legal efforts toward holding PwC accountable due to difficulties encountered in recovering Evergrande's assets in mainland China, which would be used to pay creditors.

Evergrande, once one of China's largest property developers, defaulted in 2021, accumulating approximately $300 billion (€257 billion) in debt. Subsequently, Chinese authorities concluded that the company had fraudulently inflated revenues in the years leading up to its collapse.

The liquidators allege that PwC International should be held responsible for the failures of the network firms in Hong Kong and mainland China because they allowed Evergrande to distribute about $6 billion (€5.1 billion) in dividends between 2017 and 2020, even while the company was in poor financial condition. Specifically, the liquidators demand $5.6 billion (€4.8 billion) solely from PwC International.

This decision may have repercussions for the operational model adopted by the four largest global auditing firms—PwC, Deloitte, EY, and KPMG—known as the 'Big Four'. Unlike conventional multinational corporations, these firms operate through networks of legally independent national firms, coordinated by a global entity responsible for branding and standardization. This structure allows compliance with different national auditing regimes and aims to prevent each firm from being legally liable for errors made by other members of the network in other countries.

However, the Hong Kong court's ruling opens the possibility that the financial and legal risks associated with the Evergrande case could extend to the rest of the PwC network. The FT points out that the largest national firms, including those in the United States and the United Kingdom, finance a large portion of PwC International's costs, which generally does not generate profits or possess substantial assets.

PwC International defended itself by arguing that it should not participate in the lawsuit, asserting that Evergrande was never its client. A spokesperson for the PwC global network, cited by the FT, stated that the company disagrees with the decision and is 'evaluating legal options.' This spokesperson declared that PwC International is the coordinating entity of the PwC network and never provided services or maintained any relationship with Evergrande, expressing confidence that the accusations against it are unfounded.

Previously, in April, PwC Hong Kong agreed to pay $1.3 billion (HKD) (€142 million) to settle litigation related to Evergrande with local regulators. In mainland China, the PwC branch made a fine payment of 441 million yuan (€56 million) in 2024, after the Chinese Ministry of Finance concluded that the consultancy's employees had 'concealed or even tolerated' fraud at Evergrande.

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Flash Models Change the Flagship Segment of LLMs in China: Availability Outpaces High Performance
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pandaily.com

Flash Models Change the Flagship Segment of LLMs in China: Availability Outpaces High Performance

The flagship lineup of large language models (LLMs) in China has undergone significant changes almost overnight. Zhipu AI released and open-sourced the GLM-5.3-Flash model, which had been an anonymous participant in 'Ox Alpha,' holding first place on OpenRouter since August. Concurrently, Alibaba introduced Qwen3.8-Flash, making its weights available on Hugging Face and within the ModelScope community.

Both models belong to the 'Flash' series and feature aggressive pricing, challenging the established notion that higher performance always equates to higher cost. The GLM-5.3-Flash model supports a one-million-token context window and is the first natively multimodal model in the GLM-5 family capable of processing images, videos, files, and even computer usage.

During a limited-time discount, the input cost for GLM-5.3-Flash is 0.4 RMB per million tokens, and the output cost is 1.4 RMB, making it approximately twenty times cheaper than GLM-5.3. Qwen3.8-Flash, presented as an early preview of the Qwen4 architecture, also maintains a million-token context window. At a price of 1 RMB per million input tokens and 3 RMB for output, it is about twelve times cheaper than Qwen3.8-Max while reducing token consumption by 75% in office work scenarios.

These rapid and competitive releases are putting pressure on DeepSeek, which has long served as the benchmark for price-to-performance ratio in China. The current price for DeepSeek V4 Flash is 1.5 RMB for input and 4.5 RMB for output per million tokens, including peak and off-peak load multipliers. In benchmark comparisons, GLM-5.3-Flash showed results close to Opus-class models—a level that 'Flash' promises to achieve. The anonymous launch of this model ended DeepSeek's 56-day dominance on OpenCode. Zhipu reported that the traffic was served by over 100,000 domestic AI chips, whose efficiency, they claim, is comparable to major NVIDIA GPUs.

A deeper signal lies in the strategic shift: the term 'Flash' no longer simply means a trimmed-down version. Developers are now positioning these models as true flagships due to their large context, multimodal input, competitive reasoning, and a price point that makes them the standard choice for everyday production tasks in code agents and office suites.

As a result, a market is forming where price sensitivity is rapidly fragmenting. Model vendors are no longer competing solely on maximum performance but are focusing on providing practical workloads at a sufficiently low price so that most developers never need to resort to the 'Pro' tier. In the Chinese LLM market, availability and generosity have quietly become the new standard for the flagship level.

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