Asian Startups Launch Anthropic Mythos-Challenging AI Models Amidst US Export Ban

Asian artificial intelligence startups are making significant strides in developing and launching advanced AI models, positioning themselves as alternatives to leading US-based technologies. This surge in activity comes at a critical time, as the US government’s export ban on powerful models like Anthropic’s Mythos and its more restricted version, Fable 5, creates a void in the global market, particularly in Asia. This development is especially relevant for Indian businesses and government agencies that rely on cutting-edge AI for various applications, prompting a re-evaluation of their AI sourcing strategies.

The US export ban, reportedly implemented two weeks prior, prevents Anthropic from offering global access to Mythos and Fable 5. This has opened a window for Asian companies to introduce comparable or even superior models, designed to operate without the risk of similar geopolitical restrictions.

New Asian AI Entrants

Two prominent examples highlight this trend. China’s cybersecurity firm 360 recently unveiled Tulongfeng, an AI tool it claims can rival Anthropic’s Mythos in capabilities. Concurrently, Tokyo-based Sakana AI launched Fugu, a frontier AI model that the company asserts “stands shoulder-to-shoulder with leading models like Anthropic’s Fable 5 and Mythos Preview.” Fugu is specifically designed for agents, offering the ability to orchestrate access to other models through their APIs, suggesting a focus on flexible and integrated AI solutions.

Sakana AI, co-founded in 2023 by former Google researchers Ren Ito, Llion Jones, and David Ha, specializes in developing affordable generative AI models optimized for small datasets and the Japanese language and culture. While Sakana AI maintains that the timing of Fugu’s launch was coincidental, its website prominently advertises “delivering frontier capability without the risk of export controls,” clearly aiming to capitalize on the current market dynamics.

Strategic Implications and Market Shifts

The emergence of these Asian models suggests a potential long-term shift in the global AI landscape. While a Sakana AI spokesperson acknowledged that “U.S. models remain important to Asia,” the current situation underscores the vulnerability of relying solely on a single region for critical AI infrastructure. David Ha, co-founder and CEO of Sakana, emphasized that “orchestration Models are the next frontier, beyond bigger models,” and that “relying on a single provider for national infrastructure… is a risk the recent export controls made impossible to ignore.” He further noted that “access to top models can disappear overnight,” advocating for collective intelligence as a hedge against concentrated power.

Meanwhile, China’s 360 views AI security tools like Tulongfeng, which automatically discovers software vulnerabilities, and Yitianzhen, which automates cyber defense, as national strategic assets. Founder Zhou Hongyi reportedly highlighted the risk of “one-way transparency,” where some actors could access advanced vulnerability detection while others could not.

Impact for India and Enterprise AI

For Indian enterprises and government bodies, these developments present both opportunities and challenges. The availability of powerful, locally developed or regionally accessible AI models can reduce dependence on US technologies, mitigating risks associated with potential export controls. This could foster greater innovation within India’s AI ecosystem and encourage the development of AI solutions tailored to local linguistic and cultural nuances, similar to Sakana AI’s focus on the Japanese market.

Indian tech companies and startups can explore partnerships with these new Asian players or draw inspiration from their development strategies to build robust, resilient AI infrastructure. The emphasis on “orchestration models” and “collective intelligence” also aligns with the broader goal of creating diverse and flexible AI environments that are not beholden to a single vendor or geopolitical influence. The Indian government’s IndiaAI Mission could leverage these trends to promote indigenous AI development and strategic collaborations.

Key facts:

Feature	Description
US Export Ban	Prohibits Anthropic from global access to Mythos and Fable 5 models.
New Asian Models	Tulongfeng (360, China) and Fugu (Sakana AI, Japan) are launched, offering Mythos-like capabilities.
Sakana AI’s Focus	Affordable generative AI, optimized for small datasets and Japanese language/culture, emphasizing “frontier capability without export controls.”
Strategic Shift	Asian models offer alternatives to US tech, promoting diversification and reducing reliance on single-region AI infrastructure, particularly relevant for India.

While US AI labs like Anthropic have seen significant growth, with reported run-rate revenues crossing $47 billion in May 2026, the extent of their reliance on Asian enterprise customers remains unknown. However, the rapid emergence of local alternatives suggests that even if the US ban were to be lifted, regaining lost market share and trust could be a significant challenge. Local alternatives, often trained to better understand local languages and nuances, are already actively filling this gap. This shift underscores the importance for Indian AI stakeholders to monitor the evolving global AI landscape and adapt their strategies to leverage new opportunities and mitigate risks.

Source: TechCrunch AI, https://techcrunch.com/2026/06/27/asian-ai-startups-launch-mythos-like-models-as-anthropics-export-ban-drags-on/