Gemini

Overview

Gemini is a multimodal AI model series and conversational product launched by Google (formerly known as Bard). As the core of the global search giant's AI strategy, Gemini deeply integrates with Google Search, Gmail, Google Docs, YouTube, and other ecosystems, making it one of the few AI assistants that seamlessly connects the entire Google suite.

Key Features

• Deep Google Ecosystem Integration: Direct access to Gmail, Drive, Maps, and other services; supports direct queries to Gmail inbox, enabling natural language email search, summarization, and contextual understanding.
• 1M Token Ultra-Long Context: The industry's largest context window, supporting 1 million tokens of native context.
• Native Multimodality: Supports text, image, audio, and video input; can analyze video content, understand screenshots, and process audio recordings.
• Real-Time Web Search: Backed by Google Search engine, offering top-tier real-time information retrieval among all AI assistants.
• AI Studio Development Platform: Provides free API usage quotas and visual debugging tools, highly developer-friendly.
• NotebookLM Knowledge Base: Upload materials to build a personal knowledge base, supporting conversational retrieval and automatic podcast summary generation.

Use Cases

• Heavy Google ecosystem users (daily users of Gmail, Drive, Docs)
• Professionals who need to process ultra-long documents and video content analysis
• Researchers and information workers requiring real-time information and web search
• Developers who want to experience powerful AI APIs for free (Google AI Studio offers generous free quotas)
• Creators needing full multimodal input and output
• Multilingual communication scenarios, with Gemini's broad multilingual capabilities

Pros

• Irreplaceable Google ecosystem integration: unified email summaries, document assistance, and schedule management
• 1M token ultra-long context: ability to process extremely large files surpasses all competitors
• Top-tier web search: based on Google Search, leading in information timeliness and accuracy
• Free version is not weak: free access to Gemini offers high cost-effectiveness
• Native multimodal support: integrated text, image, audio, and video input and output

Summary

Gemini is the most powerful multimodal AI assistant within the Google ecosystem, particularly suited for heavy Google users, professionals who need to process extremely long documents or videos, and developers seeking real-time online information. Its core advantages include unparalleled integration with the Google suite, an industry-leading 1M token context window, native multimodal capabilities, and generous free API quotas.

Version History

• Proactive cyber defense for governments and enterprises (2026-09-02): The Fairwind Program is a limited access program for governments
• Google DeepMind 为 Gemini 推出 agentic 视频理解功能 (2026-09-01): Google DeepMind launches agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. The model dynamically scans video segments, reducing token consumption by up to 88%, costs by up to 66%, and improving accuracy by up to 7% compared to fixed-frame-rate processing.
• Gemini 3.5 Transcribe 完整指南：告别 ASR 转录难题 (2026-08-28): Google has launched the Gemini 3.5 Transcribe model, dedicated to speech-to-text, featuring fast, accurate, and low-cost transcription with native support for speaker diarization and word-level millisecond timestamps. The model supports automatic recognition and code-switching across 85+ languages, allows up to 1,000 domain-specific terms to be passed via custom_vocabulary to avoid misspelling proper nouns, and offers two modes: Smart Transcription and Verbatim.
• Gemini 3.5 Transcribe 发布：更精准的实时语音转写模型 (2026-08-27): Google launches Gemini 3.5 Transcribe, its most accurate speech-to-text model, supporting real-time streaming and pre-recorded audio processing, accessible via the Live API and Interactions API.
• Google DeepMind 推出 Gemini 3.7 Flash：面向编程与智能体的最强工作模型 (2026-08-13): Google DeepMind releases Gemini 3.7 Flash, just three weeks after 3.6 Flash, focusing on coding and agentic tasks, with input/output prices of $0.75 and $3.75 per million tokens respectively, half the price of the original 3.6 Flash.
• Gemini 3.7 Flash 全面上线 Pro 与 Ultra 用户 (2026-08-14): Gemini 3.7 Flash is now available to Pro and Ultra users in Gemini chat. This model update improves reasoning and accuracy for multi-step tasks, such as intelligently consolidating dozens of files and emails into a single master document. Meanwhile, Gemini Spark is also running on 3.7 Flash, making personal AI agents more precise through improved tool calling for Google Workspace apps.
• Gemini 助力 Database Migration Service 加速 PostgreSQL 迁移 (2026-08-11): Google Cloud has launched Gemini-powered AI-assisted code conversion in Database Migration Service (DMS), which can convert stored procedures, triggers, and custom functions from Oracle or SQL Server into PostgreSQL PL/pgSQL code.
• 谷歌地图 Ask Maps 智能体升级：可对话订餐、找酒店并接入 Gemini Personal Intelligenc (2026-08-06): Google Maps announced a new round of upgrades for Ask Maps, adding agent features that can perform restaurant booking operations on behalf of users, while taking into account dietary requirements, current location, and favorite places. Users can also specify conditions such as decoration style and ambiance through conversation to search for hotels and local events.
• Gemini Robotics ER 2发布 (2026-08-05): 新具身推理模型，机器人可理解实时视频、规划多步任务、纠错并与其他机器协作；通过Gemini API和AI Studio开放
• Gemini Robotics ER 2：用视频理解、任务编排与多机器人协作赋能机器人 (2026-07-30): Google DeepMind has launched Gemini Robotics ER 2, a Gemini-based robot foundation model. This model achieves a step-change improvement in video understanding, tool orchestration, and multi-robot collaboration, enabling robots to reason, collaborate, and solve real-world tasks.
• Google DeepMind 发布 Gemini Robotics 2 物理 AI (2026-07-30): One brain. For any robot. 🤖 We are launching Gemini Robotics 2: our next-generation physical AI, bringing full-body intelligence, advanced dexterity, multi-robot team collaboration, and more to humanoid robots.
• Gemini Spark 集成 Chrome 自动浏览功能 (2026-07-30): Gemini Spark 🤝 @GoogleChrome Gemini Spark is now integrated with Google Chrome's automatic browsing feature. With your permission, Spark can directly handle web tasks in your Chrome browser, such as scheduling property viewings or automatically filling in flight information.
• Gemini 3.6 Flash 与 3.5 Flash-Lite 正式版发布 (2026-07-23): Google has released the official versions of Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. The 3.6 Flash offers enhanced performance on complex agent and multimodal tasks, with output token pricing reduced to $7.50/1M, supporting a 1M token context window and the Computer Use tool.
• OpenRouter 推出 Classifiers 测试版：自动标记 AI 请求的用途与成本归属 (2026-07-24): OpenRouter has launched the beta version of Classifiers, allowing users to automatically tag each AI request with task type, department affiliation, compliance category, and other information through custom taxonomies (up to 8 dimensions). Classification runs asynchronously without increasing inference latency; it supports sampling rate control to manage costs, and recommends using Gemini 3.5 Flash Lite as the classification model. Tagging results are written to logs, and in the Activity Explorer, users can aggregate and analyze model usage distribution and cost flows by dimension.
• Gemini API Managed Agents 默认升级为 3.6 Flash，新增环境钩子与免费套餐 (2026-07-28): Google DeepMind has upgraded the default model of Gemini API Managed Agents to Gemini 3.6 Flash, with support for explicitly selecting 3.5 Flash or 3.5 Flash-Lite. New environment hooks allow custom scripts to be executed before and after tool calls within the sandbox for security reviews or code formatting. Additionally, a free tier, budget controls, and cron-based scheduled triggering features have been introduced.