Gemini 3: Understand, Code, and Explore Further
Try Gemini 3 on Lorka to help you chat for work, study, and everyday questions right in your browser. No installs or setup needed, just start typing to use the powerful AI model.
Google's most intelligent Gemini model. Designed for state-of-the-art reasoning, multimodal understanding, and agent-style workflows.
Try Gemini 3 Online for Advanced Reasoning and Everyday Help
On Lorka, you can use Gemini 3 to chat as a beginner or if you're already running research workflows or automation across tools, with the following features.
Reasoning improvements
Coding and debugging performance
Contextual understanding
Stability & safety
Multimodal abilities
Get Answers, Translations, and More With Simple Prompts
With Google AI, using brief prompts, you can find solutions to different problems at work, while studying, traveling, or even in your day-to-day life.
Here's my error: NameError: name 'my_var' is not defined. How can I figure out what's wrong and fix it in Python?
The error occurs because you're trying to use a variable (my_var) that hasn't been defined yet. To debug this, you can use the following approach to figure out where the problem lies:
1# Step 1: Check if the variable is defined2try:3 print(my_var) # Attempt to access the variable4except NameError:5 print("The variable 'my_var' is not defined. Make sure to assign it a value first.")67# Step 2: Define the variable properly8my_var = 42 # Assigning a value to the variable9print("Now 'my_var' is defined:", my_var)This code helps you identify whether a variable is defined and fixes the issue by assigning a value to it. Make sure that your variables are initialized before using them in your program.
I have a bag with 5 red and 5 blue marbles. If I pull out 2 marbles without replacement, what is the probability that both are red?
The probability is the product of the two sequential draws: P(1st Red) × P(2nd Red) = (5/10) × (4/9) = 20/90 = 2/9 ≈ 0.222
Google's AI model accurately handles conditional probability and the effect of sampling without replacement.
Translate this idiomatic phrase to clear, professional German: 'The deal is on the table, but the devil is in the details.'
Der Vorschlag liegt vor, aber der Teufel steckt im Detail. (Literal German idiom: 'The devil is in the detail.')
This translation provides contextually accurate, natural flow and uses the correct target-language phrase structure.
Write a two-sentence promotional blurb for a new brand of sustainable, all-natural coffee beans.
Awaken your senses with coffee that respects the planet. Ethically sourced and bursting with flavor, our beans deliver a perfect, guilt-free start to your day.
With the right prompt, you can capture a promotional yet sustainable tone, adhering to the length and purpose restrictions instantly.
Discover Why Gemini 3 Belongs in Your Daily Workflow
Start chatting with Google AI to simplify your work, studies, and everyday tasks and questions. Enjoy powerful AI you can use instantly.
Learn Quickly and Solve Problems
Chat with Google AI to help you learn quick tests, fast learning, and problem-solving for everyday questions.
Lightning-Fast, Reliable Responses
Get smooth, stable answers in seconds that are ideal for brainstorming, studying, writing, planning, or coding under pressure.
Privacy You Can Count On
Your chats stay private with us. We never train on your data, so you can confidently explore personal, academic, and professional tasks.
A Clean, Calm Workspace
Enjoy a distraction-free interface designed for clarity, which is simple if you're just starting to use AI and efficient enough for anyone who is an expert.
Modes That Do the Heavy Lifting for You
Use pre-optimized prompt modes tailored for coding, writing, learning, analysis, summarizing, and more.
Find Out What Makes Gemini 3 Special
Model Type / Tier
- Google's most intelligent Gemini model
- Designed for state-of-the-art reasoning, multimodal understanding, and agent-style workflows
- It is best suited for challenging tasks like coding, analysis, planning, and creative projects rather than just simple Q&A
Context Length
- Supports up to 1,048,576 input tokens and 65,536 output tokens to read large documents and big codebases in one go
- Ideal for working with research papers, SOPs, contracts, or multi-file projects
Modalities Available
- Accepts text, images, video, audio, and PDFs as input, and returns text output
- A related Gemini 3 Pro Image Preview model can also generate images from text and images
Strengths
- Delivers world-leading performance on reasoning and long-context benchmarks compared with previous Gemini generations and other top models
- Excels at structured business tasks, coding and debugging, and tool-using "agentic" workflows that need precision and consistency
Limitations
- Like all large models, Gemini can still produce incorrect or outdated information and should be double-checked for high-stakes legal, medical, or financial use. (Based on publicly available information and general LLM behavior.) The Gemini 3 Pro Preview text model does not provide audio or image generation
- separate models handle those functions
API Availability
- Enabled through the Gemini API with access to Google AI Studio, the Gen AI SDK, and Vertex AI, which will be available soon on Lorka AI
- Supports advanced capabilities such as code execution, file search, function calling, long-context tools, structured outputs, and "thinking" traces for deeper reasoning
Training Style
- Trained as a frontier multimodal model over large-scale text, image, audio, video, and code data, with evaluation and safety systems focused on factuality, robustness, and responsible behavior. (Based on publicly available information.)
Release Generation
- Gemini 3 Pro Preview is the first model in the Google AI series, with the latest update in November 2025
How to Do More in Less Time With Google AI on Lorka
Coding for beginners and developers
Get step-by-step help writing, fixing, and understanding code in any major language.
Here's my Python error message. Can you explain the issue and rewrite the fixed function?
"Business planning for entrepreneurs and managers
Use the latest Google AI model to chat and outline strategies or product roadmaps.
Create a simple 90-day launch plan for a SaaS tool for freelance designers.
"Research Q&A for students and lifelong learners
Ask questions about coursework or technical topics and get structured explanations you can be confident with.
Explain the difference between diffusion and osmosis in simple terms for an exam review.
"Creative writing for marketers and content creators
Brainstorm ideas or improve your content with a better structure and stronger messaging.
Rewrite this blog intro to sound more engaging and add a hook in the first sentence.
"Data insights for analysts
Paste raw data, charts, or tables and let Google AI extract patterns, summarize insights, or suggest next steps.
Analyze this dataset and highlight three trends, two risks, and one key opportunity.
"Academic support for students and researchers
Get help summarizing essays or breaking down and reviewing complex theories and concepts into digestible steps.
Turn this chapter into an outline with key points I should study for the exam.
"Help for language learners
Learn languages faster with natural translations, grammar explanations, and sentence-by-sentence practice.
Translate this sentence into French, then explain the grammar rules and give me 5 similar practice sentences.
"Gemini 3 vs. Other Models
See how Google's AI model stacks up vs. other models found on Lorka, to find out which one works best for you.
| Models | Reasoning | Speed | Multimodality | Context | Ideal use cases |
|---|---|---|---|---|---|
Gemini 3 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠| Multimodal analysis, research, and advanced coding workflows. |
GPT-5.2 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠| Superior reasoning and guidance for reports, coding, debugging, analysis, and summaries. |
GPT-5.1 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠| Tasks needing both speed and deeper reasoning |
GPT-5 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠| Frontier-level problem-solving, technical writing, complex planning, and advanced agents |
GPT-4o | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠| Live translation, voice assistants, and interactive support |
Claude 3.x / 4.x | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠| Business writing, long documents, policy/legal text, and enterprise workflows |
Grok 4.1 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠| Insights on trends, public opinion research, and rapid analysis. |
Mistral Large | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠| Multilingual text tasks and cost-efficient large-scale deployments |
Llama 3.2 / 4 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠| Open-source or enterprise-controlled setups, custom fine-tuning, and privacy-sensitive applications |
Gemini 3
Multimodal analysis, research, and advanced coding workflows.
GPT-5.2
Superior reasoning and guidance for reports, coding, debugging, analysis, and summaries.
GPT-5.1
Tasks needing both speed and deeper reasoning
GPT-5
Frontier-level problem-solving, technical writing, complex planning, and advanced agents
GPT-4o
Live translation, voice assistants, and interactive support
Claude 3.x / 4.x
Business writing, long documents, policy/legal text, and enterprise workflows
Grok 4.1
Insights on trends, public opinion research, and rapid analysis.
Mistral Large
Multilingual text tasks and cost-efficient large-scale deployments
Llama 3.2 / 4
Open-source or enterprise-controlled setups, custom fine-tuning, and privacy-sensitive applications
Strengths and Weaknesses of Gemini 3 and Other AI Models
Gemini 3
Excellent long-context handling and multimodal reasoning; very strong coding and tool-use benchmarks.
The ecosystem and docs are still catching up with OpenAI's advancements.
GPT-5.2
A cutting-edge frontier model designed for exceptional reasoning with better instruction-following compared to 5.1 for writing, coding, and more.
More resource-intensive than lighter models, with some workflows better suited to faster "instant" alternatives when quick delivery is essential.
GPT-5.1
New "Instant vs. Thinking" modes give an excellent balance of speed and deep reasoning for strong coding & tool-calling performance.
Reasoning mode can be slower and more expensive, and some multimodal workflows are still evolving relative to GPT-5's full stack.
GPT-5
Great for frontier-level multimodal reasoning, large context window, and advanced agentic capabilities for complex, multistep tasks.
Heavier model with higher cost/latency; often "overkill" for simple chat or lightweight apps.
GPT-4o
Excellent speed and latency with strong multimodal support (text, images, audio, video), very good general-purpose assistant.
Smaller context and slightly weaker reasoning than the newest frontier models.
Claude 3.x / 4.x
Very strong reasoning and coding (Claude Opus 4.5 typically matches or beats other top models on some benchmarks), with a safety-focused alignment approach and flexible long-context use.
Multimodal support and ecosystem integrations are improving, but are less broad than OpenAI's meaning speed can be lower at higher-precision settings.
Grok 4.1
Well-suited for understanding live trends and public opinion to deliver fast, context-aware responses that support analysis and extended writing tasks.
The ecosystem is still improving, and multimodal functionality may not be consistently available across all environments.
Mistral Large
Strong multilingual performance, good reasoning for text tasks, flexible deployment options, and generally cheaper usage compared to many frontier models.
Primarily text-first, with a more limited multimodal support. Its context window and ecosystem are mostly behind the very largest proprietary models.
Llama 3.2 / 4
Open(-ish) weights, strong coding and reasoning in Llama 4, and solid multimodal vision support in 3.2 Vision that is great for fine-tuning and custom, privacy-sensitive deployments.
Out-of-the-box quality is usually a step below the very latest closed frontier models. Its performance depends heavily on hosting, tuning, and prompt engineering.