Gemini
Google's multimodal assistant for research, drafting, coding, media creation, and agentic Google-native workflows.
Overview
Freshness note: AI products change rapidly. This profile is a point-in-time snapshot last verified on May 24, 2026.
Gemini is no longer just “Google’s ChatGPT equivalent.” The current product direction is broader and more opinionated: a multimodal assistant tied into Google AI plans, Google apps, Search, NotebookLM, media generation, and an increasingly agentic workflow layer.
The May 2026 I/O updates sharpen that direction. Gemini 3.5 Flash is now Google’s stable fast frontier route for agentic coding and long-horizon work, while Gemini Omni Flash brings conversational video creation and editing into the Gemini ecosystem. The assistant experience is also becoming more proactive through Gemini Spark and Daily Brief framing.
Key Features
The native Mac app remains a practical feature for day-to-day use. Google’s current product direction also makes Gemini a front door into model-specific workflows: Gemini 3.5 Flash for fast agentic work, Gemini 3.1 Pro for premium preview reasoning, Flash-Lite for efficiency, Live and TTS for audio, Nano Banana for image generation, Gemini Omni for conversational video, Veo for API video generation, and Deep Research for cited synthesis.
Google is also pushing Gemini further toward project continuity. The new notebooks feature lets users organize chats, instructions, and files inside Gemini, with sync into NotebookLM. That is a more useful upgrade than it sounds: it gives Gemini a better answer to “where does this ongoing research project live?” than one giant chat thread.
The plan layer still matters. Google AI Plus, Pro, and Ultra gate parts of the newer Gemini experience, including media generation, higher limits, and agentic features. Gemini is increasingly the hub for a larger Google AI stack rather than a single text box.
Strengths
Gemini is strong for mixed-format work: documents, slides, images, file uploads, and long-context synthesis. It is also one of the more practical choices when a team wants one assistant that can connect into mail, docs, search, lightweight media creation, and increasingly agentic workflows instead of switching between separate specialist tools.
The newer agentic direction is most compelling when Google context is already the substrate: Search, Gmail, Docs, Drive, Android, YouTube, Gemini app, and AI Studio. Gemini 3.5 Flash also gives Google a stronger default model story for responsive coding and app-building work.
Limitations
The product surface is still fragmented. Capabilities differ by country, plan, age requirement, and whether you are using a personal Google account versus Workspace. Some features also roll out in stages. Gemini Omni Flash, for example, is currently a product-surface rollout rather than a documented developer API model.
Practical Tips
Treat Gemini as a multimodal workbench rather than a single conversation stream. Use Deep Research for landscape gathering, Gemini 3.5 Flash for fast iterative drafting or coding, notebooks for continuity, and media models only when the task actually needs image or video output.
Be explicit about geography, account type, and plan assumptions. A feature that exists in marketing copy may be personal-account only, US-only, beta-only, or tied to Google AI Pro or Ultra. That does not make Gemini weak, but it does mean rollout discipline matters.
Verdict
Gemini is a strong choice for multimodal and Google-native knowledge work. It is most compelling when you want research, drafting, file analysis, app-building support, media creation, and agentic Google-app integration inside one ecosystem and can tolerate region and plan complexity.