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Gemini 3.5

From Google DeepMind

Google’s Most Intelligent Multimodal AI – Frontier Reasoning, Massive Context, and Real-World Performance Leadership
Tool Release Date

15 Dec 2025

Tool Users
400 Million+
0.0

Pricing Model

Starting Price

$20/Month

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About This AI

Gemini 3.5 is Google’s latest flagship multimodal large language model series, with the Pro variant emerging as a major leap in intelligence, reasoning, and practical capabilities.

Released in preview to select users and developers in late 2025, it features a 1 million token context window (expandable to 2 million in testing), native multimodal understanding (text, images, audio, video), advanced agentic reasoning, tool use, and superior performance across benchmarks like GPQA Diamond, SWE-Bench Verified, AIME math, and HumanEval coding.

The model excels at complex multi-step problem solving, long-document analysis, code generation/refactoring across large repositories, scientific reasoning, financial modeling, creative writing with coherence, and real-time multimodal tasks like video understanding or image editing guidance.

Gemini 3.5 Pro demonstrates strong gains in factual accuracy, reduced hallucinations, structured outputs, and efficiency through optimized inference.

Integrated into Google products (Gemini app, Bard successor, Vertex AI, Workspace), it powers advanced features like Deep Research, NotebookLM enhancements, and developer tools.

Knowledge cutoff is mid-2025 with real-time web access via Google Search integration for up-to-date information.

Available via Gemini app (free tier with limits), Gemini Advanced ($20/month), and Vertex AI API for enterprises.

By early 2026, it consistently ranks among the top global models, often leading in reasoning-heavy and multimodal evaluations while maintaining strong safety and alignment.

Key Features

  1. 1 million token context window: Processes extremely long documents, codebases, or multi-hour videos with full recall
  2. Multimodal native understanding: Handles text, images, audio, video inputs and outputs seamlessly
  3. Advanced agentic reasoning: Multi-step planning, tool calling, self-correction, and long-horizon task execution
  4. Superior benchmark performance: Leads in GPQA Diamond, SWE-Bench Verified, AIME 2025, and complex reasoning tasks
  5. Real-time web integration: Uses Google Search for current information beyond knowledge cutoff
  6. Structured outputs and function calling: Reliable JSON, tables, code blocks, and API/tool integration
  7. Reduced hallucinations: Improved factuality, epistemic humility, and verification mechanisms
  8. Code generation excellence: Large-scale repo understanding, refactoring, debugging, and full app creation
  9. Creative and professional modes: Adaptive tone for technical writing, creative storytelling, or formal reports
  10. Deep Research mode: Multi-turn web exploration and report synthesis for complex queries

Price Plans

  1. Free ($0): Basic access to Gemini 3.5 with message limits, standard context, and core features
  2. Gemini Advanced ($20/Month): Full Gemini 3.5 Pro, 1M context, Deep Research, priority access, higher limits, and integrations
  3. Vertex AI / Enterprise (Custom): API access, dedicated capacity, fine-tuning, and enterprise-grade security for businesses

Pros

  1. Frontier intelligence: Frequently tops or ties leaderboards in reasoning, coding, math, and multimodal tasks
  2. Massive usable context: 1M tokens enable analyzing entire books, codebases, or long videos without truncation
  3. Strong real-world utility: Excels in professional workflows like engineering, research, finance, and content creation
  4. Seamless Google ecosystem: Deep integration with Search, Workspace, Android, and developer tools
  5. Accessible tiers: Free tier with limits; Advanced at $20/month unlocks full power
  6. Fast and efficient: Optimized inference for quick responses even on long contexts
  7. Continuous improvement: Frequent updates and safety refinements from DeepMind

Cons

  1. Advanced access paid: Full Gemini 3.5 Pro and high limits require Gemini Advanced subscription
  2. Rate limits on free: Caps on messages and complex queries before throttling
  3. Knowledge cutoff mid-2025: Relies on real-time search for very recent events
  4. Occasional over-cautiousness: Safety filters may refuse or hedge on sensitive topics
  5. Compute-heavy for Pro: Maximum reasoning modes can be slower on intensive tasks
  6. Web/app dependent: No offline capabilities; requires internet connection
  7. Competition pressure: Rapidly evolving rivals may close gaps in specific areas

Use Cases

  1. Complex coding projects: Analyze large repos, generate full apps, refactor code, debug issues
  2. Research and analysis: Summarize papers, synthesize insights from long documents or videos
  3. Professional knowledge work: Financial modeling, legal review, strategic planning, report writing
  4. Education and learning: Step-by-step explanations, tutoring across subjects, study material creation
  5. Content creation: Long-form writing, creative storytelling, multilingual translation with context
  6. Business intelligence: Data interpretation, decision support, market research via Deep Research
  7. Multimodal tasks: Video understanding, image analysis, audio transcription with reasoning

Target Audience

  1. Developers and engineers: Needing advanced coding, debugging, and large-context tools
  2. Researchers and academics: Analyzing papers, data, and complex scientific problems
  3. Professionals in knowledge roles: Finance, legal, consulting, strategy requiring deep reasoning
  4. Students and educators: Learning support, explanations, and content generation
  5. Content creators: Writers, marketers, translators handling long-form or multimodal tasks
  6. Business users: Leveraging Deep Research and integrations for productivity

How To Use

  1. Access Gemini: Visit gemini.google.com or use Gemini app on Android/iOS
  2. Select model: Choose Gemini 3.5 Pro (requires Advanced subscription for full access)
  3. Prompt effectively: Provide detailed context, files, images/videos, or enable Deep Research
  4. Control reasoning: Use 'think step by step' or request structured outputs for complex tasks
  5. Upload content: Attach documents, images, code, or videos for multimodal analysis
  6. Follow up: Refine answers with additional questions or 'expand on this'
  7. Integrate via API: Use Vertex AI for custom apps or enterprise workflows

How we rated Gemini 3.5

  • Performance: 4.9/5
  • Accuracy: 4.8/5
  • Features: 4.9/5
  • Cost-Efficiency: 4.5/5
  • Ease of Use: 4.7/5
  • Customization: 4.6/5
  • Data Privacy: 4.5/5
  • Support: 4.6/5
  • Integration: 4.8/5
  • Overall Score: 4.8/5

Gemini 3.5 integration with other tools

  1. Google Workspace: Deep integration with Docs, Sheets, Slides, Gmail for AI-assisted productivity
  2. Vertex AI: Enterprise API, fine-tuning, and deployment for custom business applications
  3. Google Search: Real-time web access via built-in browsing for current information
  4. Android/iOS Apps: Native Gemini app with voice, camera, and on-device capabilities
  5. Third-Party Tools: Compatible with LangChain, Zapier, and agent frameworks via API

Best prompts optimised for Gemini 3.5

  1. Analyze this entire 500-page research paper [upload PDF] and provide a detailed executive summary, key findings, methodology critique, and potential future research directions in structured format
  2. You are a senior software engineer. Review and refactor this large codebase [paste or upload repo files] for better performance, readability, and modern best practices in Python
  3. Using Deep Research, investigate the current state of quantum computing breakthroughs in 2026, summarize top advancements, companies involved, and realistic timelines for commercial impact
  4. Create a comprehensive financial model for a startup [provide details], including revenue projections, burn rate, valuation scenarios, and sensitivity analysis in table format
  5. Explain this complex physics concept [describe or upload diagram] step-by-step like teaching a graduate student, then solve the attached problem set with detailed workings
Gemini 3.5 sets a new standard for multimodal intelligence with its massive context, exceptional reasoning, and seamless Google ecosystem integration. It shines in professional coding, research, and complex analysis tasks. The free tier is capable, but Advanced at $20/month unlocks its full frontier power. A top contender for serious users in 2026.

FAQs

  • What is Gemini 3.5?

    Gemini 3.5 is Google’s latest flagship multimodal AI model series, with Pro variant leading in reasoning, 1M token context, coding, math, and real-world multimodal tasks.

  • When was Gemini 3.5 released?

    Gemini 3.5 Pro launched in preview in late 2025, with wider rollout and updates through December 2025 into 2026.

  • How many users does Gemini have?

    The Gemini ecosystem (including previous versions) has over 400 million monthly active users as of early 2026.

  • Is Gemini 3.5 free to use?

    Basic access is free with limits; full Gemini 3.5 Pro, 1M context, and advanced features require Gemini Advanced subscription at $20/month.

  • What is the context window for Gemini 3.5?

    It supports a 1 million token context window (expandable to 2 million in testing), enabling analysis of very long documents or videos.

  • How does Gemini 3.5 compare to other models?

    It frequently leads or ties on benchmarks like GPQA Diamond, SWE-Bench, AIME math, and coding, competing closely with top models like GPT-5 series.

  • What knowledge cutoff does Gemini 3.5 have?

    Knowledge cutoff is mid-2025, but real-time Google Search integration provides current information for recent events.

  • What are Gemini 3.5’s strongest areas?

    It excels in complex reasoning, large-scale coding, scientific/math problems, long-context analysis, multimodal tasks, and professional workflows.

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