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OpenAI announced the official opening of API access to its deep research models, providing developers with a powerful set of tools including automatic web search, data analysis, MCP (Model Communication Protocol), and code execution. The models opened include the deep research versions of o3 and o4-mini, which have already been used in ChatGPT. Now, developers can directly call these models via API. These models are particularly suitable for complex tasks that require obtaining the latest information and performing advanced reasoning. In terms of function expansion, o3,

Recently, Google officially launched its latest text-to-image model **Imagen4** through the Gemini API, marking an important milestone in the field of generative AI (AIGC). According to Google's official blog and community feedback, Imagen4 has achieved breakthroughs in generating text within images, solving a long-standing technical bottleneck in AIGC, and providing developers with a tool for creating high-quality visual content. It is reported that the model comes in two versions: **Imagen4** and **Imagen4Ultra**, with respective pricing details yet to be fully disclosed.

Recently, AI Infrastructure company SiliconBase Flow officially announced a strategic cooperation with Alibaba Cloud. SiliconBase Flow has joined the "Alibaba Cloud Flower Program" and entered the Alibaba Cloud Marketplace. This collaboration marks the beginning of deep cooperation in the AI field, working together to promote the development of large model services. According to the cooperation content, the core API services of SiliconBase Flow's large model inference platform, SiliconCloud, will fully integrate into Alibaba Cloud Bailian Platform, supported by Alibaba Cloud Lingjun Intelligent Computing Clusters, providing convenient and efficient large model services for cloud customers.

The plan's advancement has triggered dissatisfaction among developers. According to VentureBeat, OpenAI's current API deprecation involves the GPT-4.5 Preview version, which is an intermediary model launched between GPT-4 and GPT-5. Multiple developers have stated that this sudden change has disrupted their development plans, forcing significant adjustments to applications already built based on this API. A developer who wished to remain anonymous commented: We understand the necessity of technological iteration, but the lack of sufficient buffer time in the schedule has brought additional pressure to development teams.

With the surge in demand for high-quality data from artificial intelligence, efficient web scraping tools have become the core need for AI developers. AIbase learned from social media platforms that Firecrawl has launched a groundbreaking feature - the new /search API, which allows both web search and content scraping with just one API call and outputs data in AI-friendly formats. This release marks an important step forward for Firecrawl in the field of AI-driven web data processing. This article will explore

OpenAI announced significant updates to its image generation API (Responses API), adding new features such as streaming transmission, multi-round editing, and integration with Model Context Protocol (MCP) tools and real-time web data search. These new features not only improve the efficiency of image generation but also provide developers with more flexible creation methods, marking a new stage for AI-driven visual content creation. AIbase has compiled the core highlights of this update and its far-reaching impact on the industry.

Recently, Vidu AI and ComfyUI have launched a new collaboration, bringing creators a new experience from image to video creation. The Vidu API node will be officially launched on ComfyUI soon, enabling easy image-to-video generation and upgrading the creative process again. For creators, mastering new features quickly is crucial. This collaboration provides clear operational guidance: creators first need to update ComfyUI or the ComfyUI desktop version, then log in and purchase corresponding points, next go to the 【Workflow】, view the 【Browse model】

Against the backdrop of the rapid development of the AI agent market, the Alibaba Cloud Qianlian MCP Plaza has officially launched. Meitu Imaging, Yingmi Qianshan, XiaoIce Digital Humans, and more than 40 high-quality MCP services have made their debut, providing users with capabilities to build AI agents across multiple fields such as image editing, financial analysis, digital humans, etc. With the significant enhancement of large model inference capabilities, intelligent application is experiencing explosive growth. Market research institutions such as Markets and Markets and IDC predict the smart agent market will reach hundreds of billions of US dollars.

Mistral recently launched its new Agents API, a framework designed for developers to simplify the creation of AI agents that can execute various tasks such as running Python code, generating images, and performing Retrieval-Augmented Generation (RAG). The launch of this API aims to provide a unified environment for large language models (LLMs) to interact with multiple tools and data sources in a structured and persistent manner.

Mistral AI introduces a new Agents API, aiming to extend language models into intelligent agent systems for enterprise applications. This framework adds tools for task execution, context tracking, and agent orchestration to basic language models, enabling multiple AI agents not only to execute tasks independently but also to collaborate, connect to external systems, and build complete business processes. Each agent can interface with connectors and MCP (Model Context Protocol) tools to support running Python scripts, web searches, etc.