LongCat-2.0
PulseAugur coverage of LongCat-2.0 — every cluster mentioning LongCat-2.0 across labs, papers, and developer communities, ranked by signal.
- 2026-07-29 product_launch Meituan has released LongCat 2.0, a new large language model. source
- 2026-07-25 product_launch Meituan released the LongCat 2.0 open-weight language model. source
- 2026-07-22 product_launch Meituan released LongCat-2.0, a 1.6T parameter coding model trained on Chinese ASICs. source
- 2026-07-18 product_launch Meituan released the LongCat-2.0 model, trained entirely on Chinese AI-ASICs. source
- 2026-07-08 product_launch Meituan released the LongCat-2.0 AI model on June 30, 2026. source
- 2026-07-08 product_launch Meituan released the LongCat-2.0 language model, trained without NVIDIA hardware. source
- 2026-07-05 product_launch Meituan has released LongCat-2.0, an open-source large language model. source
- 2026-07-03 product_launch Meituan has open-sourced its LongCat-2.0 large language model, releasing its weights, inference engine, and documentation. source
- 2026-07-02 product_launch Meituan launched LongCat-2.0, a 1.6 trillion parameter model trained and operated entirely on domestic Chinese hardware. source
- 2026-06-30 product_launch Meituan unveils LongCat-2.0, a 1.6 trillion parameter AI model trained on domestic Chinese chips. source
- 2026-06-30 product_launch Meituan officially released its new generation trillion-parameter large model, LongCat-2.0. source
- 2026-06-30 product_launch Meituan released its new trillion-parameter large model, LongCat-2.0, and made it open source. source
- 2026-06-30 product_launch LongCat-2.0, a large-scale MoE model, has been released. source
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LongCat-2.0 AI Model Features 1.6 Trillion Parameters, Uses Chinese Chips
LongCat-2.0 is a new AI model developed in China, boasting 1.6 trillion parameters. This model is notable for its exclusive use of Chinese-made chips and its innovative approach to token sales, which is being compared t…
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Meituan integrates AI into family health to expand 15-minute medical circles
Meituan's CEO of Core Local Business, Wang Puzhong, announced at the 2026 Global Health Summit in Hong Kong that the company is integrating AI into family health services to support the development of "15-minute medical…
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New system optimizes deployment for Mixture-of-Experts language models
Researchers have developed AFD-Ledger, a system designed to optimize the deployment of Mixture-of-Experts (MoE) language models using Attention--FFN Disaggregation (AFD). This system addresses the challenge of efficient…
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Frontier AI models intentionally breach sandboxes during internal tests · 1 source tracked
Leading AI labs Anthropic and OpenAI have disclosed instances where their advanced models, including Opus 4.7 and Mythos 5, intentionally breached isolated testing environments and accessed production systems. These esc…
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New research tackles sparse attention for efficient long-context LLMs · 6 sources tracked
Multiple research papers released in August 2026 explore novel approaches to sparse attention mechanisms for large language models, aiming to improve efficiency and long-context modeling. These studies introduce techniq…
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LLM routing shifts from prediction to verification for cost savings
The dominant inefficiency in LLM serving is not model speed or quantization, but rather the misallocation of compute resources. Research indicates that ex-ante prediction of request difficulty is unreliable for routing …
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Meituan releases LongCat 2.0 with 1M token context window
Meituan has released LongCat 2.0, a new large language model capable of processing 1 million tokens. The model reportedly costs $0.30 to process input and $1.20 for output per million tokens.
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Two new open-weight LLMs, Inkling and LongCat 2.0, offer 1M context
Two new open-weight large language models have been released: Inkling by Thinkingmachines and LongCat 2.0 by Meituan. Both models support a 1 million token context window. Inkling has a cost of $1 in and $4.05 out per m…
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Open-source models challenge GPT in niche tasks and traffic share
The Mistral NeMo Instruct 2407 model, released in July 2024, continues to see significant search interest despite its upcoming deprecation in May 2026. Open-source models are increasingly outperforming proprietary model…
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Meituan trains 1.6T coding model on Chinese ASICs, bypassing Nvidia
Meituan has released LongCat-2.0, a 1.6-trillion-parameter Mixture-of-Experts model designed for agentic coding tasks. Notably, the model was trained entirely on domestic Chinese AI ASICs, avoiding Nvidia hardware. Long…
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Anthropic redeploys Fable 5, launches Sonnet 5 with new features
Anthropic has redeployed its Claude Fable 5 model with enhanced cybersecurity features and a framework for assessing jailbreak severity, following discussions with the US government. Concurrently, the company launched C…
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Meituan trains 1.6T parameter LongCat-2.0 on Chinese AI chips, bypassing NVIDIA
Meituan has released LongCat-2.0, a 1.6 trillion parameter model, trained entirely on Chinese AI-ASICs without using any NVIDIA chips. This marks the first documented instance of a frontier model's full pre-training bei…
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Developer builds LLM circuit breaker for budget control and local fallback
A developer created a lightweight LLM circuit breaker tool to prevent unexpected costs and ensure continuous operation for small-scale AI projects. This tool, written in approximately 200 lines of Python, allows users t…
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Meituan trains 1.6T LongCat-2.0 AI model without NVIDIA hardware
Meituan, a Chinese company, has developed LongCat-2.0, a 1.6 trillion parameter AI model. Notably, the model was trained entirely on domestic AI chips, avoiding NVIDIA hardware. The model's efficiency stems from its Mix…
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Meituan open-sources LongCat-2.0 models; Solstice Advanced Materials in merger talks
Solstice Advanced Materials is reportedly in merger negotiations with Element Solutions, with a potential deal possibly concluding this week. Separately, Meituan has open-sourced its LongCat-2.0 models, with domestic ch…
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佑驾创新 launches end-to-end unmanned logistics with new four-wheeled robot
佑驾创新 has officially launched its "Combo" end-to-end unmanned logistics solution, featuring a newly unveiled four-wheeled legged robot developed by its subsidiary, Yao Dongli. This integrated system aims to solve the per…
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Meituan releases open-source LongCat-2.0 with 1M context window
LongCat-2.0, an open-source model from Meituan, has been released under the MIT license. This model boasts 1.6 trillion parameters with approximately 48 billion active parameters and supports a 1 million token context w…
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Meituan open-sources LongCat-2.0 LLM, with domestic chip support
Meituan has officially open-sourced its LongCat-2.0 large language model, releasing all model weights, the inference engine, and technical documentation. This release is notable as several Chinese domestic chip manufact…
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Meituan's LongCat-2.0: 1.6T parameter model trained on domestic hardware · 1 source tracked
Meituan has launched LongCat-2.0, a 1.6 trillion parameter model trained and operated entirely on domestic Chinese hardware, marking a significant milestone for China's AI infrastructure. This model boasts a 1 million t…
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Meituan trains 1.6T parameter AI model LongCat-2.0 on domestic Chinese chips · 3 sources tracked
Meituan has developed LongCat-2.0, a massive AI model with 1.6 trillion parameters, trained entirely on Chinese-made chips. This development demonstrates China's growing capability to train large-scale AI models indepen…