Gemini API
PulseAugur coverage of Gemini API — every cluster mentioning Gemini API across labs, papers, and developer communities, ranked by signal.
- developed by Gemini 3.5 Flash 95%
- instance of Gemini 3 95%
- instance of Gemini 3.5 Flash 95%
- used by Gemini app 90%
- developed by Gemini app 90%
- developed by Nano Banana Pro 90%
- used by NotebookLM 90%
- used by Gemini CLI 90%
- instance of Gemini Enterprise 90%
- developed by Gemini 3 90%
- developed anti-gravity 90%
- developed by Artificial Analysis 90%
- 2026-05-20 product_launch Google launched Managed Agents as a new feature for its Gemini API.
- 2026-05-20 product_launch Google launched Managed Agents within the Gemini API, simplifying agent development and deployment. 来源
- 2026-05-20 product_launch Google launched a preview of managed agents within its Gemini API. 来源
- 2026-05-07 product_launch Google expanded the Gemini API File Search tool to support multimodal RAG systems with text and image data, and added page citations. 来源
7 天有情绪数据
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Google Gemini API simplifies agent development with Managed Agents
Google has released Managed Agents for its Gemini API, simplifying the development of autonomous agents. This new platform abstracts away the complexities of infrastructure, security, and state management, allowing deve…
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Google Gemini API launches Managed Agents for simplified developer access
Google has introduced a two-tiered strategy for its agent development platform, aiming to cater to both individual developers and enterprise clients. The Gemini API now features Managed Agents, allowing developers to de…
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Google Gemini API adds managed agents for simplified AI agent deployment
Google has launched a preview of managed agents within its Gemini API, allowing developers to initiate Google-hosted agents with a single API call. This new feature eliminates the need for developers to construct their …
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Developers Learn to Build AI Features with Flutter and Gemini API
Developers can integrate AI features into Flutter applications using Google's Gemini API. A guide from freeCodeCamp.org outlines how to build production-ready AI functionalities, covering the process from initial implem…
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Self-hosting LLMs on GKE often fails due to overlooked costs and compliance
Many teams incorrectly choose to self-host large language models on infrastructure like Google Kubernetes Engine (GKE) by focusing solely on per-token pricing, overlooking crucial factors like idle compute costs and ong…
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Open-source AI workspace OpenGravity clones Google Antigravity
A developer has created OpenGravity, an open-source, zero-install JavaScript clone of Google's Antigravity AI workspace, designed to overcome rate-limiting issues. This tool offers a browser-based IDE with a live termin…
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Google Gemini API adds multimodal RAG and page citations
Google has expanded its Gemini API File Search tool to support multimodal RAG systems, allowing developers to process both text and visual data. This update, powered by the Gemini Embedding 2 model, enables more context…
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Google Gemini API adds webhooks to end inefficient polling for AI jobs
Google has enhanced its Gemini API by introducing event-driven webhooks. This new feature aims to eliminate the need for constant polling in long-running AI tasks like batch processing and video generation. The update i…
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Google launches Gemini 3.5 Flash, Omni, and agent stack
Google has launched Gemini 3.5 Flash, a new model designed for agentic workflows and coding tasks, available immediately across its consumer and developer platforms. This release also introduces Gemini Omni for multimod…
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Google Gemini API adds Deep Research updates with MCP and chart generation
Google has released two significant updates to its Gemini API, enhancing its Deep Research capabilities. These updates introduce improved quality, support for MCP, and native generation of charts and infographics. The G…
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Google DeepMind enhances robot reasoning with new Gemini Robotics-ER 1.6 model
Google DeepMind has released Gemini Robotics-ER 1.6, an upgraded model designed to enhance robots' understanding and interaction with the physical world. This new version improves spatial reasoning, multi-view perceptio…
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Google DeepMind launches Lyria 3 Pro for longer, more customizable AI music generation
Google DeepMind has launched Lyria 3 Pro, an advanced AI music generation model capable of creating tracks up to three minutes long. This new version offers enhanced control over musical composition, allowing users to s…
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Google DeepMind launches Nano Banana 2, merging Pro features with Flash speed
Google DeepMind has launched Nano Banana 2 (Gemini 3.1 Flash Image), an advanced image generation model that combines the capabilities of Nano Banana Pro with the speed of Gemini Flash. This new model offers enhanced fe…
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Google DeepMind launches autonomous research agents powered by Gemini 3.1 Pro
Google DeepMind has launched two new autonomous research agents, Deep Research and Deep Research Max, powered by Gemini 3.1 Pro. These agents are designed to securely analyze user-provided or third-party data, with Deep…
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new Gemini 3 Deep Think, Anthropic $30B @ $380B, GPT-5.3-Codex Spark, MiniMax M2.5
Google DeepMind has released Gemini 3 Deep Think V2, a new reasoning mode for Google AI Ultra subscribers and available via API early access. This model achieves new state-of-the-art results on benchmarks like ARC-AGI-2…
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Anthropic's Claude Code update sparks user backlash over simplified output
Users of Anthropic's Claude Code are expressing frustration over a recent update that simplifies file read and search pattern outputs to generic summaries, hiding crucial details about codebase interactions. Despite use…
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Google DeepMind details 2025 AI breakthroughs with Gemini 3 and new models
Google DeepMind and Google Research have detailed significant AI advancements throughout 2025, highlighted by the release of their Gemini 3 and Gemini 3 Flash models. These models demonstrate state-of-the-art performanc…
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Google DeepMind launches Gemini 3 Pro with advanced coding and agentic capabilities
Google DeepMind has launched Gemini 3 Pro, their latest and most intelligent model, which demonstrates significant improvements in reasoning and coding capabilities. This new model surpasses previous versions and excels…
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Build with Nano Banana Pro, our Gemini 3 Pro Image model
Google DeepMind has launched Nano Banana Pro, a high-fidelity image generation model built on Gemini 3 Pro, now available in a paid preview. This model offers studio-quality outputs with enhanced text rendering, 2K/4K r…
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Google DeepMind launches Gemini 3.1 Flash TTS, Live, and Lite models
Google DeepMind has unveiled a suite of Gemini 3.1 Flash models, including Flash TTS for advanced text-to-speech, Flash Live for real-time dialogue, and Flash-Lite for cost-efficient, high-volume workloads. These models…