Cursor released Composer 2, its third-generation programming model, on March 20th, with pricing significantly reduced to $0.50 per million input tokens and $2.50 per million output tokens, while also launching a faster version. Composer 2 outperforms its predecessor on multiple benchmarks but falls short of GPT-5.4, with improvements primarily stemming from continued pre-training and reinforcement learning of the base model. The model is exclusively available for internal use within Cursor, and its parent company Anysphere has a valuation of $29.3 billion.

OpenAI released new models GPT-5.4 mini and GPT-5.4 nano on March 18, targeting multimodal and programming scenarios with significantly higher pricing. GPT-5.4 mini demonstrates superior performance on coding benchmarks, supports large-scale context and multifunctional operations. Additionally, ChatGPT free users will also experience new reasoning capabilities.

Rakuten Group launched Rakuten AI 3.0, a Japanese-specialized large language model, on March 17, claiming to surpass GPT-4o on multiple Japanese language tests. However, netizens discovered that the model may be based on DeepSeek development and raised questions about its pro-China stance and the authenticity of its independently developed technology, sparking discussions.

Rakuten Group announced the release of Rakuten AI 3.0 on March 17, a high-performance AI model with 671 billion parameters optimized for Japanese. The company claims that it outperforms GPT-4o on multiple benchmark tests. The model is freely open-sourced under the Apache 2.0 license, fine-tuned based on the DeepSeek V3 model, and received training computational support from the Japanese government.

Gate News Announcement: On March 8th, Openclaw recently released version 3.7 beta, mainly adding support for large language models GPT 5.4 and Gemini Flash 3.1.

OpenClaw founder Peter Sternberg shared benchmark results for PinchBench, showing that Gemini 3 Flash ranks first in proxy tasks with a success rate of 95.1%. Domestic models minimax-m2.1 and kimi-k2.5 placed second and third with success rates of 93.6% and 93.4%. Other models such as Claude Sonnet 4.5 and GPT-4o performed lower.

OpenAI released the GPT-5.4 model on March 6, improving factual accuracy and efficiency, using fewer tokens for processing, and providing faster responses. At the same time, it enhances deep web research capabilities and context retention, allowing users to interrupt and adjust instructions during responses. The guided feature of this version is now available on Android and web platforms, with the iOS version coming soon.

OpenAI has released the GPT-5.4 model, integrating advanced reasoning and coding capabilities, supporting a variety of tasks, and launching a Pro version tailored for enterprise needs. It features a larger context window, improved reasoning accuracy, a significantly reduced error rate, and performs well across multiple professional tests. Developers can access it via API.

OpenAI has launched GPT-5.4, emphasizing its efficiency and factual accuracy. The new model performs better in deep web research and context retention, supporting real-time user intervention. The guidance feature has been rolled out on multiple platforms, with enhanced computational power and the ability to handle complex tasks.