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Meituan Reveals LongCat-2.0, an AI Model Outselling Competitors

On June 30, Meituan introduced LongCat-2.0, an AI model with 1.6 trillion parameters, previously known as Owl Alpha. This model offers competitive pricing, undercutting leading models like GPT-5.5 and Claude Sonnet 5 by a significant margin, according to Decrypt.

2 hours ago·2 min readBeginner·Reported by Jose Antonio Lanz·via Decrypt·at publish:SOL $77.28·BTC $60,066
Meituan Reveals LongCat-2.0, an AI Model Outselling Competitors

Chinese technology company Meituan officially launched LongCat-2.0 on June 30, 2026, presenting it as a highly capable AI model with 1.6 trillion parameters. Notably, this model previously operated anonymously under the name Owl Alpha for two months on the OpenRouter platform.

The model managed to achieve impressive rankings by call volume: first on Hermes Agent, second on Claude Code, and third on OpenClaw. LongCat-2.0 boasts a unique mixture-of-experts architecture, activating approximately 48 billion of its parameters per token, with variability based on query complexity.

Pricing Strategy and Market Impact

LongCat-2.0's pricing structure positions it competitively against other AI models. The standard API cost is set at $0.75 per million input tokens and $2.95 per million output tokens. In comparison, GPT-5.5 charges $5 per million input tokens and $30 for output, while Claude Sonnet 5 starts at $2 for input and $10 for output.

Moreover, Meituan has introduced promotional pricing of $0.30 per million input tokens and $1.20 per million output tokens to stimulate adoption at launch. This aggressive pricing strategy could encourage wider usage and potentially disrupt the existing AI market hierarchy, particularly for companies seeking cost-effective alternatives.

Technical Significance

LongCat-2.0 is the first trillion-parameter model deployed entirely on domestic Chinese application-specific integrated circuits (ASICs), which is notable amid China's shift to minimize reliance on U.S. hardware for AI model training. The model's training involved a staggering 35 trillion tokens across over 50,000 domestically manufactured accelerators, reportedly achieving operational stability without loss spikes or significant downtime.

This represents a key milestone, especially as the AI industry frequently faces challenges with large-scale training runs. Meituan's success in this area may bolster confidence in China's technological capabilities within the global AI landscape.

Future Considerations

As LongCat-2.0 enters the market, industry observers will pay close attention to its adoption rates compared to established models, particularly as pricing remains a critical factor for developers and businesses. The ongoing effectiveness of its performance and cost advantages will determine its impact in the rapidly evolving AI sector.

Summary based on original reporting by Jose Antonio Lanz at Decrypt, originally published Jul 1, 2026. SolanaWire does not republish source content.

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