{"id":319706,"date":"2025-11-25T18:14:03","date_gmt":"2025-11-25T18:14:03","guid":{"rendered":"https:\/\/som2nynetwork.com\/analytics\/gemini-3-pro-api-gemini-3-developer-guide\/"},"modified":"2025-11-25T18:14:03","modified_gmt":"2025-11-25T18:14:03","slug":"gemini-3-pro-api-gemini-3-developer-guide","status":"publish","type":"post","link":"https:\/\/som2nynetwork.com\/?p=319706","title":{"rendered":"Gemini 3 Pro API | Gemini 3 Developer Guide"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div id=\"article-start\">\n<p>Google has recently released their most intelligent model that can create, reason, and understand across multiple modalities. Google Gemini 3 Pro is not just an incremental update, it is in fact a major step forward in AI capability. This model with the cutting-edge reasoning, multimodal understanding, and agentic capabilities is going to be the main factor to change the way developers create intelligent applications.\u00a0And with the new Gemini 3 Pro API, developers can now create smarter, more dynamic systems than ever before.<\/p>\n<p>If you are making complex AI workflows, working with multimodal data, or developing agentic systems that can manage multi-step tasks on their own, this guide will teach you all about utilizing Gemini 3 Pro via its API.\u00a0<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-what-makes-gemini-3-pro-special\">What Makes Gemini 3 Pro Special?<\/h2>\n<p>Let us not get lost in the technical details and first discuss the reasons behind the buzz among the developers about this model. The Google Gemini 3 Pro model that has been in development for a while has now reached the very top of the AI benchmarking list with a fantastic <strong>Elo rating of<\/strong> <strong>1501<\/strong>, and it was not merely designed to deliver maximum performance but the whole package was oriented towards a great experience for the developer.<\/p>\n<p>The main features are:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Advanced reasoning: <\/strong>The model is now capable of solving intricate, multi-step problems with very subtle thinking.<\/li>\n<li><strong>Massive context window: <\/strong>A massive 1 million token input context allows for the feeding of whole codebases, full-length books or long video content.<\/li>\n<li><strong>Multimodal mastery:<\/strong> Text, images, video, PDFs and code can all be processed together in a very smooth way.<\/li>\n<li><strong>Agentic workflows:<\/strong> Run multi-step tasks where the model orchestrates, checks and modifies its action of being a robot.<\/li>\n<li><strong>Dynamic thinking:<\/strong> Depending on the situation, the model will either go through the problem step by step or just give the answer.<\/li>\n<\/ul>\n<p>You can learn more about Gemini 3 Pro model and its features in the following article: <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2025\/11\/gemini-3-is-here\/\" target=\"_blank\" rel=\"noreferrer noopener\">Gemini 3 Pro<\/a><\/p>\n<h2 class=\"wp-block-heading\" id=\"h-getting-started-your-first-gemini-3-pro-api-call\">Getting Started: Your First Gemini 3 Pro API Call<\/h2>\n<h4 class=\"wp-block-heading\" id=\"h-step-1-get-your-api-key\">Step 1: Get Your API Key<\/h4>\n<p>Go to <a href=\"https:\/\/aistudio.google.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Google AI Studio<\/a> and log in using your Google account. Now, click the profile icon at the top right corner, and then choose \u201c<strong>Get API key<\/strong>\u201d option. If it is your first time, select \u201c<strong>Create API key in new project<\/strong>\u201d otherwise import an existing one. Make a copy of the API key right away because you will not be able to see it again.<\/p>\n<h4 class=\"wp-block-heading\" id=\"h-step-2-install-the-sdk\">Step 2: Install the SDK<\/h4>\n<p>Choose your preferred language and install the official SDK using following commands:<\/p>\n<p><strong>Python:<\/strong><\/p>\n<pre class=\"wp-block-code\"><code>pip install google-genai<\/code><\/pre>\n<p><strong>Node.js\/JavaScript:<\/strong><\/p>\n<pre class=\"wp-block-code\"><code>npm install @google\/genai<\/code><\/pre>\n<h4 class=\"wp-block-heading\" id=\"h-step-3-set-your-environment-variable\">Step 3: Set Your Environment Variable<\/h4>\n<p>Store your API key securely in an environment variable:<\/p>\n<pre class=\"wp-block-code\"><code>export GEMINI_API_KEY=\"your-api-key-here\"<\/code><\/pre>\n<h2 class=\"wp-block-heading\" id=\"h-gemini-3-pro-api-pricing\">Gemini 3 Pro API Pricing<\/h2>\n<p>The Gemini 3 Pro API utilizes a <strong>pay-as-you-go<\/strong> model, where your costs are primarily calculated based on the number of <strong>tokens<\/strong> consumed for both your input (prompts) and the model\u2019s output (responses).<\/p>\n<p>The key determinant for the pricing tier is the <strong>context window length<\/strong> of your request. Longer context windows, which allow the model to process more information simultaneously (like large documents or long conversation histories), incur a higher rate.<\/p>\n<p>The following rates apply to the <code>gemini-3-pro-preview<\/code> model via the Gemini API and are measured <strong>per one million tokens (1M)<\/strong>.<\/p>\n<div style=\"margin: 0; padding: 0;\">\n<table class=\"has-fixed-layout\" style=\"border-collapse: collapse; width: 100%;\">\n<thead>\n<tr>\n<th style=\"background-color: #f5f5f5; border: 1px solid #ccc; padding: 8px; text-align: left;\">Feature<\/th>\n<th style=\"background-color: #f5f5f5; border: 1px solid #ccc; padding: 8px; text-align: left;\">Free Tier<\/th>\n<th style=\"background-color: #f5f5f5; border: 1px solid #ccc; padding: 8px; text-align: left;\">Paid Tier (per 1M tokens in USD)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"border: 1px solid #ccc; padding: 8px;\"><strong>Input price<\/strong><\/td>\n<td style=\"border: 1px solid #ccc; padding: 8px;\">Free (limited daily usage)<\/td>\n<td style=\"border: 1px solid #ccc; padding: 8px;\">\n          $2.00, prompts \u2264 200k tokens<br \/>$4.00, prompts &gt; 200k tokens\n        <\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #ccc; padding: 8px;\"><strong>Output price (including thinking tokens)<\/strong><\/td>\n<td style=\"border: 1px solid #ccc; padding: 8px;\">Free (limited daily usage)<\/td>\n<td style=\"border: 1px solid #ccc; padding: 8px;\">\n          $12.00, prompts \u2264 200k tokens<br \/>$18.00, prompts &gt; 200k tokens\n        <\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #ccc; padding: 8px;\"><strong>Context caching price<\/strong><\/td>\n<td style=\"border: 1px solid #ccc; padding: 8px;\">Not available<\/td>\n<td style=\"border: 1px solid #ccc; padding: 8px;\">\n          $0.20\u2013$0.40 per 1M tokens (depends on prompt size)<br \/>$4.50 per 1M tokens per hour (storage price)\n        <\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #ccc; padding: 8px;\"><strong>Grounding with Google Search<\/strong><\/td>\n<td style=\"border: 1px solid #ccc; padding: 8px;\">Not available<\/td>\n<td style=\"border: 1px solid #ccc; padding: 8px;\">\n          1,500 RPD (free)<br \/>Coming soon: $14 per 1,000 search queries\n        <\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #ccc; padding: 8px;\"><strong>Grounding with Google Maps<\/strong><\/td>\n<td style=\"border: 1px solid #ccc; padding: 8px;\">Not available<\/td>\n<td style=\"border: 1px solid #ccc; padding: 8px;\">Not available<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h2 class=\"wp-block-heading\" id=\"h-understanding-gemini-3-pro-s-new-parameters\">Understanding Gemini 3 Pro\u2019s New Parameters<\/h2>\n<p>The API presents several revolutionary parameters one of which is the thinking level parameter, giving full control over to the requester in a very detailed manner.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-the-thinking-level-parameter\">The Thinking Level Parameter<\/h3>\n<p>This new parameter is very likely the most significant one. You are no longer left to wonder how much the model should \u201cthink\u201d but rather it is explicitly controlled by you:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>thinking_level: \u201clow\u201d: <\/strong>For basic tasks such as classification, Q&amp;A, or chatting. There will be very little latency, and the costs will be lower which makes it perfect for high-throughput applications.\u00a0<\/li>\n<li><strong>thinking_level: \u201chigh\u201d (default): <\/strong>For complex reasoning tasks. The model takes longer but the output will consist of a more carefully reasoned argument. This is the time for problem-solving and analysis.<\/li>\n<\/ul>\n<p><em><strong>Tip<\/strong>: Do not use <code>thinking_level<\/code> in conjunction with the older <code>thinking_budget<\/code> parameter, as they are not compatible and will result in a 400 error<\/em>.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-media-resolution-control\">Media Resolution Control<\/h3>\n<p>While analysing images, PDF documents, or videos, now you can regulate the virtual processor usage when analysing visual input:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Images<\/strong>: <code>media_resolution_high<\/code> for the best quality (1120 tokens\/image).<\/li>\n<li><strong>PDFs<\/strong>: <code>media_resolution_medium<\/code> for document understanding (560 tokens).<\/li>\n<li><strong>Videos<\/strong>: <code>media_resolution_low<\/code> for action recognition (70 tokens\/frame) and <code>media_resolution_high<\/code> for conversation-heavy text (280 tokens\/frame).<\/li>\n<\/ul>\n<p>This puts the optimization of quality and token usage in your hands.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-temperature-settings\">Temperature Settings<\/h3>\n<p>Here is something that you may find intriguing: you can simply keep the temperature at its defaults of 1.0. Unlike earlier models that would often make productive use of temperature tuning, Gemini 3\u2019s reasoning is optimized around this default setting. Lowering the temperature can cause strange loops or degrade performance on more complex tasks.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-build-with-me-hands-on-examples-of-gemini-3-pro-api\">Build With Me: Hands-On Examples of Gemini 3 Pro API<\/h2>\n<h3 class=\"wp-block-heading\" id=\"h-demo-1-building-a-smart-code-analyzer\">Demo 1: Building a Smart Code Analyzer<\/h3>\n<p>Let\u2019s build something using a real-world use case. We\u2019ll create a system that first analyses code, identifies discrepancies, and suggests improvements using Gemini 3 Pro\u2019s advanced reasoning feature.<\/p>\n<h4 class=\"wp-block-heading\" id=\"h-python-implementation\">Python Implementation<\/h4>\n<pre class=\"wp-block-code\"><code>import os\nfrom google import genai\n\n# Initialize the Gemini API client with your API key\n# You can set this directly or via environment variable\napi_key = \"api-key\"  # Replace with your actual API key\nclient = genai.Client(api_key=api_key)\n\ndef analyze_code(code_snippet: str) -&gt; str:\n    \"\"\"\n    Analyzes code for discrepancies and suggests improvements using Gemini 3 Pro.\n\n    Args:\n        code_snippet: The code to analyze\n\n    Returns:\n        Analysis and improvement suggestions from the model\n    \"\"\"\n    response = client.models.generate_content(\n        model=\"gemini-3-pro-preview\",\n        contents=[\n            {\n                \"text\": f\"\"\"Analyze this code for issues, inefficiencies, and potential improvements.\nProvide:\n1. Issues found (bugs, logic errors, security concerns)\n2. Performance optimizations\n3. Code quality improvements\n4. Best practices violations\n5. Refactored version with explanations\n\nCode to analyze:\n{code_snippet}\nBe direct and concise in your analysis.\"\"\"\n            }\n        ]\n    )\n    return response.text\n\n# Example usage\nsample_code = \"\"\"\ndef calculate_total(items):\n    total = 0\n    for i in range(len(items)):\n        total = total + items[i]['price'] * items[i]['quantity']\n    return total\n\ndef get_user_data(user_id):\n    import requests\n    response = requests.get(f\"http:\/\/api.example.com\/user\/{user_id}\")\n    data = response.json()\n    return data\n\"\"\"\n\nprint(\"=\" * 60)\nprint(\"GEMINI 3 PRO - SMART CODE ANALYZER\")\nprint(\"=\" * 60)\nprint(\"\\nAnalyzing code...\\n\")\n\n# Run the analysis\nanalysis = analyze_code(sample_code)\nprint(analysis)\n\nprint(\"\\n\" + \"=\" * 60)<\/code><\/pre>\n<h4 class=\"wp-block-heading\" id=\"h-output\"><strong>Output:<\/strong><\/h4>\n<h4 class=\"wp-block-heading\" id=\"h-what-s-happening-here\">What\u2019s Happening Here?<\/h4>\n<ul class=\"wp-block-list\">\n<li>We\u2019re implementing <code>thinking_level (\"high\")<\/code> since code review entails some heavy reasoning.<\/li>\n<li>The prompt is brief and to the point <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2025\/11\/gemini-3-is-here\/\" target=\"_blank\" rel=\"noreferrer noopener\">Gemini 3<\/a> responds more effectively when prompts are direct, as opposed to elaborately using prompt engineering.<\/li>\n<li>The model reviews the code with full reasoning capacity and will provide a responsive version which includes significant revisions and insightful analysis.<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\" id=\"h-demo-2-multi-modal-document-intelligence\">Demo 2: Multi-Modal Document Intelligence<\/h3>\n<p>Now let\u2019s take on a more complex use case that is analyzing an image of a document and extracting structured information.<\/p>\n<h4 class=\"wp-block-heading\" id=\"h-python-implementation-0\">Python Implementation<\/h4>\n<pre class=\"wp-block-code\"><code>import base64\nimport json\nfrom google import genai\n\n# Initialize the Gemini API client\napi_key = \"api-key-here\"  # Replace with your actual API key\nclient = genai.Client(api_key=api_key)\n\ndef analyze_document_image(image_path: str) -&gt; dict:\n    \"\"\"\n    Analyzes a document image and extracts key information.\n    Handles images, PDFs, and other document formats.\n\n    Args:\n        image_path: Path to the document image file\n\n    Returns:\n        Dictionary containing extracted document information as JSON\n    \"\"\"\n\n    # Read and encode the image\n    with open(image_path, \"rb\") as img_file:\n        image_data = base64.standard_b64encode(img_file.read()).decode()\n\n    # Determine the MIME type based on file extension\n    mime_type = \"image\/jpeg\"  # Default\n    if image_path.endswith(\".png\"):\n        mime_type = \"image\/png\"\n    elif image_path.endswith(\".pdf\"):\n        mime_type = \"application\/pdf\"\n    elif image_path.endswith(\".gif\"):\n        mime_type = \"image\/gif\"\n    elif image_path.endswith(\".webp\"):\n        mime_type = \"image\/webp\"\n\n    # Call the Gemini API with multimodal content\n    response = client.models.generate_content(\n        model=\"gemini-3-pro-preview\",\n        contents=[\n            {\n                \"text\": \"\"\"Extract and structure all information from this document image.\nReturn the data as JSON with these fields:\n- document_type: What type of document is this?\n- key_entities: List of important names, dates, amounts, etc.\n- main_content: Brief summary of the document's purpose\n- action_items: Any tasks or deadlines mentioned\n- confidence: How confident you are in the extraction (high\/medium\/low)\n\nReturn ONLY valid JSON, no markdown formatting.\"\"\"\n            },\n            {\n                \"inline_data\": {\n                    \"mime_type\": mime_type,\n                    \"data\": image_data\n                }\n            }\n        ]\n    )\n\n    # Parse the JSON response\n    try:\n        result = json.loads(response.text)\n        return result\n    except json.JSONDecodeError:\n        return {\n            \"error\": \"Failed to parse response\",\n            \"raw\": response.text\n        }\n\n# Example usage with a sample document\nprint(\"=\" * 70)\nprint(\"GEMINI 3 PRO - MULTI-MODAL DOCUMENT INTELLIGENCE\")\nprint(\"=\" * 70)\n\ndocument_path = \"Gemini-3-Pro-Model-Card.pdf\"  # Change this to your actual document path\n\ntry:\n    print(f\"\\nAnalyzing document: {document_path}\")\n    print(\"Processing...\\n\")\n\n    document_info = analyze_document_image(document_path)\n\n    print(\"Extracted Document Information:\")\n    print(\"-\" * 70)\n    print(json.dumps(document_info, indent=2))\n\nexcept FileNotFoundError:\n    print(f\"Error: Document file '{document_path}' not found.\")\n    print(\"Please provide a valid path to a document image (JPG, PNG, PDF, etc.)\")\n    print(\"\\nExample:\")\n    print('  document_info = analyze_document_image(\"invoice.pdf\")')\n    print('  document_info = analyze_document_image(\"contract.png\")')\n    print('  document_info = analyze_document_image(\"receipt.jpg\")')\n\nexcept Exception as e:\n    print(f\"Error processing document: {str(e)}\")\n\nprint(\"\\n\" + \"=\" * 70)<\/code><\/pre>\n<h4 class=\"wp-block-heading\" id=\"h-output-0\"><strong>Output:<\/strong><\/h4>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2144\" height=\"1504\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/11\/image6-5.webp\" alt=\"Multi-Modal Document Intelligence of gemini 3 pro\" class=\"wp-image-246769\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/11\/image6-5.webp 2144w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/11\/image6-5-300x210.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/11\/image6-5-768x539.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/11\/image6-5-1536x1077.webp 1536w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/11\/image6-5-2048x1437.webp 2048w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/11\/image6-5-150x105.webp 150w\" sizes=\"auto, (max-width: 2144px) 100vw, 2144px\"\/><\/figure>\n<\/div>\n<h4 class=\"wp-block-heading\" id=\"h-key-techniques-here\">Key Techniques Here:<\/h4>\n<ul class=\"wp-block-list\">\n<li><strong>Image processing:<\/strong> We are encoding the picture in base64 format for delivery\u00a0<\/li>\n<li><strong>Maximum quality option:<\/strong> For text documents we apply <code>media_resolution_high<\/code> to provide perfect OCR<\/li>\n<li><strong>Ordered result:<\/strong> We ask for a JSON format which is easy to connect with other systems\u00a0\u00a0<\/li>\n<li><strong>Fault handling:<\/strong> We do it the way that JSON parsing errors are not noticeable\u00a0<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\" id=\"h-advanced-features-beyond-basic-prompting\">Advanced Features: Beyond Basic Prompting<\/h2>\n<h3 class=\"wp-block-heading\" id=\"h-thought-signatures-maintaining-reasoning-context\"><strong>Thought Signatures: Maintaining Reasoning Context<\/strong><\/h3>\n<p>Gemini 3 pro introduces an amazing feature known as thought signatures, which has encrypted representations of the internal reasoning that model does. These model signatures hold context across the API calls when using function calling or multi-turn conversations.<\/p>\n<p>If your preference is to use the official <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2021\/05\/introduction-to-python-programming-beginners-guide\/\" target=\"_blank\" rel=\"noreferrer noopener\">Python<\/a> or Node.js SDKs method then this thought signatures is being handled automatically and invisibly but if you\u2019re making raw API call then you need to return the though Signature exactly as it\u2019s received.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-context-caching-for-cost-optimization\"><strong>Context Caching for Cost Optimization<\/strong><\/h3>\n<p>Do you plan on sending similar requests multiple times? Take advantage of context caching which can cache the first 2,048 tokens of your prompt, and save money on subsequent requests. This is fantastic anytime you are processing a bunch of documents and can reuse a system prompt in between.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-batch-api-process-at-scale\"><strong>Batch API: Process at Scale<\/strong><\/h3>\n<p>For workloads that are not time-sensitive, the Batch API can save you up to 90%. This is ideal for workloads where there are lots of documents to process or if you are going to run a large analysis overnight.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-conclusion\">Conclusion<\/h2>\n<p>Google Gemini 3 Pro marks a inflection point in what\u2019s possible with AI APIs. The combination of advanced reasoning, massive context windows, and affordable pricing means you can now build systems that were previously impractical.<\/p>\n<p><strong>Start small:<\/strong> Build a <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2023\/02\/how-to-build-a-chatbot-using-natural-language-processing\/\" target=\"_blank\" rel=\"noreferrer noopener\">chatbot<\/a>, analyze some documents, or automate a routine task. Then, as you get comfortable with the API, explore more complex scenarios like autonomous agents, code generation, and multimodal analysis.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-frequently-asked-questions\">Frequently Asked Questions<\/h2>\n<div class=\"schema-faq wp-block-yoast-faq-block\">\n<div class=\"schema-faq-section\" id=\"faq-question-1763964441624\"><strong class=\"schema-faq-question\">Q1. What makes Google Gemini 3 Pro a major upgrade for developers?\u00a0<\/strong> <\/p>\n<p class=\"schema-faq-answer\">A. Its advanced reasoning, multimodal support, and huge context window enable smarter and more capable applications.\u00a0<\/p>\n<\/p><\/div>\n<div class=\"schema-faq-section\" id=\"faq-question-1763964452513\"><strong class=\"schema-faq-question\">Q2. How do I control the model\u2019s depth of reasoning?\u00a0<\/strong> <\/p>\n<p class=\"schema-faq-answer\">A. Set thinking_level to low for fast\/simple tasks or high for complex analysis.\u00a0<\/p>\n<\/p><\/div>\n<div class=\"schema-faq-section\" id=\"faq-question-1763964480681\"><strong class=\"schema-faq-question\">Q3. How can I reduce API costs when processing many similar requests?\u00a0<\/strong> <\/p>\n<p class=\"schema-faq-answer\">A. Use context caching or the Batch API to reuse prompts and run workloads efficiently.\u00a0<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"border-top py-3 author-info my-4\">\n<div class=\"author-card d-flex align-items-center\">\n<div class=\"flex-shrink-0 overflow-hidden\">\n                                    <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/author\/riya_bansal_av\/\" class=\"text-decoration-none active-avatar\"><br \/>\n                                                                       <img decoding=\"async\" src=\"https:\/\/av-eks-lekhak.s3.amazonaws.com\/media\/lekhak-profile-images\/converted_image_6IQzGzn.webp\" width=\"48\" height=\"48\" alt=\"Riya Bansal\" loading=\"lazy\" class=\"rounded-circle\"\/><\/p>\n<p>                                <\/a>\n                                <\/div>\n<\/p><\/div>\n<p>Data Science Trainee at Analytics Vidhya<br \/>I am currently working as a Data Science Trainee at Analytics Vidhya, where I focus on building data-driven solutions and applying AI\/ML techniques to solve real-world business problems. My work allows me to explore advanced analytics, machine learning, and AI applications that empower organizations to make smarter, evidence-based decisions.<br \/>With a strong foundation in computer science, software development, and data analytics, I am passionate about leveraging AI to create impactful, scalable solutions that bridge the gap between technology and business.<br \/>\ud83d\udce9 You can also reach out to me at <a href=\"http:\/\/www.analyticsvidhya.com\/cdn-cgi\/l\/email-protection#64130b160f130d100c160d1d0506240309050d084a070b09\"><span class=\"__cf_email__\" data-cfemail=\"daadb5a8b1adb3aeb2a8b3a3bbb89abdb7bbb3b6f4b9b5b7\">[email\u00a0protected]<\/span><\/a><\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p><h4 class=\"fs-24 text-dark\">Login to continue reading and enjoy expert-curated content.<\/h4>\n<p>                        <button class=\"btn btn-primary mx-auto d-table\" data-bs-toggle=\"modal\" data-bs-target=\"#loginModal\" id=\"readMoreBtn\">Keep Reading for Free<\/button>\n                    <\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>Google has recently released their most intelligent model that can create, reason, and understand across multiple modalities. Google Gemini 3 Pro is not just an incremental update, it is in fact a major step forward in AI capability. This model with the cutting-edge reasoning, multimodal understanding, and agentic capabilities is going to be the main [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":319707,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12033],"tags":[13966,19198,20726,2059,1190],"dealstore":[],"offerexpiration":[],"class_list":["post-319706","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-api","tag-developer","tag-gemini","tag-guide","tag-pro"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Gemini 3 Pro API | Gemini 3 Developer Guide - Som2ny Network<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/som2nynetwork.com\/?p=319706\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Gemini 3 Pro API | Gemini 3 Developer Guide - Som2ny Network\" \/>\n<meta property=\"og:description\" content=\"Google has recently released their most intelligent model that can create, reason, and understand across multiple modalities. Google Gemini 3 Pro is not just an incremental update, it is in fact a major step forward in AI capability. This model with the cutting-edge reasoning, multimodal understanding, and agentic capabilities is going to be the main [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/som2nynetwork.com\/?p=319706\" \/>\n<meta property=\"og:site_name\" content=\"Som2ny Network\" \/>\n<meta property=\"article:published_time\" content=\"2025-11-25T18:14:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2025\/11\/Mastering-Gemini-3-Pro-API-A-Complete-Developers-Guide-1.webp.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"872\" \/>\n\t<meta property=\"og:image:height\" content=\"473\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"11 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/som2nynetwork.com\/?p=319706#article\",\"isPartOf\":{\"@id\":\"https:\/\/som2nynetwork.com\/?p=319706\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\/\/som2nynetwork.com\/#\/schema\/person\/bdcda3a080a13154a9714645a9a98419\"},\"headline\":\"Gemini 3 Pro API | Gemini 3 Developer Guide\",\"datePublished\":\"2025-11-25T18:14:03+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/som2nynetwork.com\/?p=319706\"},\"wordCount\":1514,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/som2nynetwork.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/som2nynetwork.com\/?p=319706#primaryimage\"},\"thumbnailUrl\":\"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2025\/11\/Mastering-Gemini-3-Pro-API-A-Complete-Developers-Guide-1.webp.webp\",\"keywords\":[\"API\",\"Developer\",\"Gemini\",\"Guide\",\"Pro\"],\"articleSection\":[\"Analytics\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/som2nynetwork.com\/?p=319706#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/som2nynetwork.com\/?p=319706\",\"url\":\"https:\/\/som2nynetwork.com\/?p=319706\",\"name\":\"Gemini 3 Pro API | Gemini 3 Developer Guide - Som2ny Network\",\"isPartOf\":{\"@id\":\"https:\/\/som2nynetwork.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/som2nynetwork.com\/?p=319706#primaryimage\"},\"image\":{\"@id\":\"https:\/\/som2nynetwork.com\/?p=319706#primaryimage\"},\"thumbnailUrl\":\"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2025\/11\/Mastering-Gemini-3-Pro-API-A-Complete-Developers-Guide-1.webp.webp\",\"datePublished\":\"2025-11-25T18:14:03+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/som2nynetwork.com\/?p=319706#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/som2nynetwork.com\/?p=319706\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/som2nynetwork.com\/?p=319706#primaryimage\",\"url\":\"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2025\/11\/Mastering-Gemini-3-Pro-API-A-Complete-Developers-Guide-1.webp.webp\",\"contentUrl\":\"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2025\/11\/Mastering-Gemini-3-Pro-API-A-Complete-Developers-Guide-1.webp.webp\",\"width\":872,\"height\":473},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/som2nynetwork.com\/?p=319706#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/som2nynetwork.com\/?bp_activities=1\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Gemini 3 Pro API | Gemini 3 Developer Guide\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/som2nynetwork.com\/#website\",\"url\":\"https:\/\/som2nynetwork.com\/\",\"name\":\"Som2ny Network\",\"description\":\"Daily Deals\",\"publisher\":{\"@id\":\"https:\/\/som2nynetwork.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/som2nynetwork.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/som2nynetwork.com\/#organization\",\"name\":\"Som2ny Network\",\"url\":\"https:\/\/som2nynetwork.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/som2nynetwork.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2026\/05\/4a0953c4-logo-300x86-1.png\",\"contentUrl\":\"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2026\/05\/4a0953c4-logo-300x86-1.png\",\"width\":300,\"height\":86,\"caption\":\"Som2ny Network\"},\"image\":{\"@id\":\"https:\/\/som2nynetwork.com\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/som2nynetwork.com\/#\/schema\/person\/bdcda3a080a13154a9714645a9a98419\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/som2nynetwork.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/729ae85bf62b9917e93538db2f2688ca?s=96&r=g&default=https%3A%2F%2Fsom2nynetwork.com%2Fwp-content%2Fplugins%2Fbuddypress-first-letter-avatar%2Fimages%2Fdefault%2F96%2Flatin_a.png\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/729ae85bf62b9917e93538db2f2688ca?s=96&r=g&default=https%3A%2F%2Fsom2nynetwork.com%2Fwp-content%2Fplugins%2Fbuddypress-first-letter-avatar%2Fimages%2Fdefault%2F96%2Flatin_a.png\",\"caption\":\"admin\"},\"sameAs\":[\"https:\/\/som2nynetwork.com\"],\"url\":\"https:\/\/som2nynetwork.com\/?author=1\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Gemini 3 Pro API | Gemini 3 Developer Guide - Som2ny Network","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/som2nynetwork.com\/?p=319706","og_locale":"en_US","og_type":"article","og_title":"Gemini 3 Pro API | Gemini 3 Developer Guide - Som2ny Network","og_description":"Google has recently released their most intelligent model that can create, reason, and understand across multiple modalities. Google Gemini 3 Pro is not just an incremental update, it is in fact a major step forward in AI capability. This model with the cutting-edge reasoning, multimodal understanding, and agentic capabilities is going to be the main [&hellip;]","og_url":"https:\/\/som2nynetwork.com\/?p=319706","og_site_name":"Som2ny Network","article_published_time":"2025-11-25T18:14:03+00:00","og_image":[{"width":872,"height":473,"url":"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2025\/11\/Mastering-Gemini-3-Pro-API-A-Complete-Developers-Guide-1.webp.webp","type":"image\/webp"}],"author":"admin","twitter_card":"summary_large_image","twitter_misc":{"Written by":"admin","Est. reading time":"11 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/som2nynetwork.com\/?p=319706#article","isPartOf":{"@id":"https:\/\/som2nynetwork.com\/?p=319706"},"author":{"name":"admin","@id":"https:\/\/som2nynetwork.com\/#\/schema\/person\/bdcda3a080a13154a9714645a9a98419"},"headline":"Gemini 3 Pro API | Gemini 3 Developer Guide","datePublished":"2025-11-25T18:14:03+00:00","mainEntityOfPage":{"@id":"https:\/\/som2nynetwork.com\/?p=319706"},"wordCount":1514,"commentCount":0,"publisher":{"@id":"https:\/\/som2nynetwork.com\/#organization"},"image":{"@id":"https:\/\/som2nynetwork.com\/?p=319706#primaryimage"},"thumbnailUrl":"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2025\/11\/Mastering-Gemini-3-Pro-API-A-Complete-Developers-Guide-1.webp.webp","keywords":["API","Developer","Gemini","Guide","Pro"],"articleSection":["Analytics"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/som2nynetwork.com\/?p=319706#respond"]}]},{"@type":"WebPage","@id":"https:\/\/som2nynetwork.com\/?p=319706","url":"https:\/\/som2nynetwork.com\/?p=319706","name":"Gemini 3 Pro API | Gemini 3 Developer Guide - Som2ny Network","isPartOf":{"@id":"https:\/\/som2nynetwork.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/som2nynetwork.com\/?p=319706#primaryimage"},"image":{"@id":"https:\/\/som2nynetwork.com\/?p=319706#primaryimage"},"thumbnailUrl":"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2025\/11\/Mastering-Gemini-3-Pro-API-A-Complete-Developers-Guide-1.webp.webp","datePublished":"2025-11-25T18:14:03+00:00","breadcrumb":{"@id":"https:\/\/som2nynetwork.com\/?p=319706#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/som2nynetwork.com\/?p=319706"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/som2nynetwork.com\/?p=319706#primaryimage","url":"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2025\/11\/Mastering-Gemini-3-Pro-API-A-Complete-Developers-Guide-1.webp.webp","contentUrl":"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2025\/11\/Mastering-Gemini-3-Pro-API-A-Complete-Developers-Guide-1.webp.webp","width":872,"height":473},{"@type":"BreadcrumbList","@id":"https:\/\/som2nynetwork.com\/?p=319706#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/som2nynetwork.com\/?bp_activities=1"},{"@type":"ListItem","position":2,"name":"Gemini 3 Pro API | Gemini 3 Developer Guide"}]},{"@type":"WebSite","@id":"https:\/\/som2nynetwork.com\/#website","url":"https:\/\/som2nynetwork.com\/","name":"Som2ny Network","description":"Daily Deals","publisher":{"@id":"https:\/\/som2nynetwork.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/som2nynetwork.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/som2nynetwork.com\/#organization","name":"Som2ny Network","url":"https:\/\/som2nynetwork.com\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/som2nynetwork.com\/#\/schema\/logo\/image\/","url":"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2026\/05\/4a0953c4-logo-300x86-1.png","contentUrl":"https:\/\/som2nynetwork.com\/wp-content\/uploads\/2026\/05\/4a0953c4-logo-300x86-1.png","width":300,"height":86,"caption":"Som2ny Network"},"image":{"@id":"https:\/\/som2nynetwork.com\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/som2nynetwork.com\/#\/schema\/person\/bdcda3a080a13154a9714645a9a98419","name":"admin","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/som2nynetwork.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/729ae85bf62b9917e93538db2f2688ca?s=96&r=g&default=https%3A%2F%2Fsom2nynetwork.com%2Fwp-content%2Fplugins%2Fbuddypress-first-letter-avatar%2Fimages%2Fdefault%2F96%2Flatin_a.png","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/729ae85bf62b9917e93538db2f2688ca?s=96&r=g&default=https%3A%2F%2Fsom2nynetwork.com%2Fwp-content%2Fplugins%2Fbuddypress-first-letter-avatar%2Fimages%2Fdefault%2F96%2Flatin_a.png","caption":"admin"},"sameAs":["https:\/\/som2nynetwork.com"],"url":"https:\/\/som2nynetwork.com\/?author=1"}]}},"_links":{"self":[{"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=\/wp\/v2\/posts\/319706","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=319706"}],"version-history":[{"count":0,"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=\/wp\/v2\/posts\/319706\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=\/wp\/v2\/media\/319707"}],"wp:attachment":[{"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=319706"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=319706"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=319706"},{"taxonomy":"dealstore","embeddable":true,"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=%2Fwp%2Fv2%2Fdealstore&post=319706"},{"taxonomy":"offerexpiration","embeddable":true,"href":"https:\/\/som2nynetwork.com\/index.php?rest_route=%2Fwp%2Fv2%2Fofferexpiration&post=319706"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}