Full test of Gemini 3: does Google’s new brain have an answer for everything?
Meet Gemini 3 from Google DeepMind, the smartest AI model for multimodal understanding, advanced reasoning, and agentic coding.
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About Full test of Gemini 3: does Google’s new brain have an answer for everything?
Gemini 3: the super-intelligent model created by Google DeepMind Full test of Gemini 3: does Google’s new brain have an answer for everything? Gemini 3 arrived on November 18, like a gifted student who submits an exam before everyone else. We tested it from every angle. And Google clearly means business. The Mountain View company seems to have finally found the right formula. Forget the hesitant assistants from the early days. Here, we talk about a powerhouse. It reasons, writes code and sees in ways never reached before. ➥ What is Gemini 3? Gemini 3 is the third major iteration of Google’s large language model (LLM). Calling it a simple “language model” would miss the point. It acts as a native multimodal mind. It does more than read text. It processes video, examines complex images and listens to audio files. All this happens with remarkable ease. Reasoning and action Unlike earlier versions, this release relies on two pillars: deep reasoning and autonomous action. It no longer just gives you a cooking recipe. It can plan weekly meals. It can place ingredient orders. It can even check whether your fridge has enough space, if you show it a photo. This is the first model that truly seems to “understand” the physical world. ➥ Key features Google brought out heavy firepower with functions that change how work gets done. Here is what stood out most during our tests. Deep Think mode: time for reflection You know those moments when careful thought matters? Gemini 3 does the same. With “Deep Think” mode, the AI pauses. It does not reply instantly. It thinks. It examines several hypotheses in parallel. Then it formulates an answer. For complex mathematics or pure logic, the result is striking. No more rushed replies that miss the mark. “Vibe Coding” and Autonomous Agents Developers will love it, or feel uneasy. “Vibe Coding” lets you describe an application with simple, almost vague words. Gemini 3 captures the intent, the “vibe”, and produces functional code . Even better, its agent-based abilities let it execute tasks through a terminal. It can debug an entire project, not just a single file. Google Antigravity, the related platform, turns the AI into a real virtual colleague. Extremely powerful multimodal vision We submitted a 10-minute technical video for analysis. The outcome is clear. It spots details that escape quick human viewing. It grasps motion, causality and temporal context. This goes beyond basic image recognition. It reflects interpretation of dynamic scenes. ➥ Use cases: how Gemini 3 changes daily work Theory matters, practice matters more. Here is how this tool fits into real professional situations. The time-pressed developer: He launches a voice command to build a full web interface. Gemini 3 writes the code, runs tests and fixes errors on its own. The financial analyst: He feeds a 500-page report and a conference video. The AI cross-checks audio and text data to uncover subtle contradictions. The scientific researcher: He relies on Deep Think mode to validate logical hypotheses. The AI acts as a second critical brain. ➥ Advantages and concrete benefits Why switch to Gemini 3 when the previous version seemed sufficient? The answer fits in one word: reliability. Deep Think mode drastically cuts hallucinations on technical topics. You spend less time double-checking every claim. In addition, native integration with the Google ecosystem (Drive, Docs, Gmail) feels smooth. The tool accesses your documents without friction, if you grant permission. This brings major time savings for administrative tasks. ➥ Pricing model Google stays true to its hybrid strategy. Basic access feels generous, but raw power comes at a cost. Version Price Details Gemini 3 (Standard) Free Model access via app and web. Suitable for everyday use. Gemini Advanced (Ultra) ~€22 / month Includes Deep Think mode, large file analysis and Workspace integration. Developers pay per use through the API. Prices vary based on request complexity, measured in tokens. ➥ Who is this tool best suited for? Anyone can use it. Still, certain profiles gain immediate value. Programmers and engineers rank first thanks to agent-based functions. If your daily routine lives in a terminal, this fits you. Academics and students value the reasoning strength of Deep Think mode. It suits structured argument work. Finally, content creators save hours on video review through multimodal analysis. ➥ Alternatives to Gemini 3 Competition stays active and presents strong options. GPT-5.2 (OpenAI) The main rival. While Gemini focuses on Google integration and native multimodality, GPT-5.2 often earns praise for a more “literary” tone. Its conversational style feels subtle. Its reasoning mode also shows strong performance. Claude Opus 4.5 (Anthropic) This option appeals to code and writing purists. Claude features a very large context window. Its writing style feels natural. Many see it as less mechanical than competitors. However, it lacks direct access to Google tools. ➥ Conclusion and opinion Gemini 3 is more than an update. It signals strength. Google combines raw computational power with refined reasoning, something that clearly lacked before. Deep Think mode stands out for demanding intellectual tasks. The interface can feel crowded at times with so many options. Yet the ability to code and act autonomously places this tool in a distinct class. Do not stop at a simple opinion. Test it on a logic problem. Or ask it to code a small game. The outcome may surprise you. Test Gemini 3 ➥ FAQ: common questions about Gemini 3 Is Deep Think mode really slower? + Yes, and this is intentional. The AI takes between 10 and 30 seconds to “think” before replying. This delay lets it verify its own logical steps. That is the trade-off for higher reliability. Can Gemini 3 see my private files? + Only if you use Workspace extensions (Drive, Gmail). And only with explicit permission. Google states that personal data does not train the public model. Caution still applies with sensitive information. What is the difference compared to version 1.5 Pro? + The leap in reasoning and autonomy is substantial. Version 1.5 excelled at long-text reading. Version 3 can act, use complex tools and think before speaking. It marks the gap between an eager intern and a seasoned expert. Visit Gemini 3 website
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