{"id":11962,"date":"2025-01-28T13:12:21","date_gmt":"2025-01-28T13:12:21","guid":{"rendered":"https:\/\/metaschool.so\/articles\/?p=11962"},"modified":"2025-01-28T13:16:59","modified_gmt":"2025-01-28T13:16:59","slug":"deepseek-v3","status":"publish","type":"post","link":"https:\/\/metaschool.so\/articles\/deepseek-v3\/","title":{"rendered":"What is Deepseek V3? Detailed Guide With Demo."},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_56_1 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/metaschool.so\/articles\/deepseek-v3\/#How_to_Get_Started_with_DeepSeek-V3\" title=\"How to Get Started with DeepSeek-V3\">How to Get Started with DeepSeek-V3<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/metaschool.so\/articles\/deepseek-v3\/#Method_3_sort_of_API_Integration\" title=\"Method 3 (sort of): API Integration\">Method 3 (sort of): API Integration<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/metaschool.so\/articles\/deepseek-v3\/#Why_Try_DeepSeek_V3\" title=\"Why Try DeepSeek V3?\">Why Try DeepSeek V3?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/metaschool.so\/articles\/deepseek-v3\/#Metaschool_DeepSeek_Model_Comparison\" title=\"Metaschool DeepSeek Model Comparison\">Metaschool DeepSeek Model Comparison<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/metaschool.so\/articles\/deepseek-v3\/#Demo\" title=\"Demo\">Demo<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/metaschool.so\/articles\/deepseek-v3\/#FAQs\" title=\"FAQs\">FAQs<\/a><\/li><\/ul><\/nav><\/div>\n\n<p>DeepSeek V3 is an advanced open-source large language model (LLM) developed by a Chinese AI firm known as DeepSeek. It was designed to rival the leading models like GPT-3.5 and GPT-4 that have been all the rage for the past couple of years. DeepSeek V3 boasts 671 billion parameters, which enables it to perform a wide array of tasks with high proficiency. Some even say it&#8217;s like ChatGPT but better, you will have to work it to know it for yourself. <\/p>\n\n\n\n<p><strong>Key Features <\/strong><\/p>\n\n\n\n<p>DeepSeek V3 has two standout features. One, it offers <strong>fast inference speed<\/strong> which makes it perfect for doing real-time tasks like instant responses or live data processing. Two, it is highly <strong>versatile<\/strong> and can perform pretty great in areas like math, coding, logical reasoning, and even handling multiple languages. It consistently scores high in benchmark tests, proving its reliability and accuracy. Whether you need quick solutions or advanced problem-solving, DeepSeek V3 is here to deliver top-notch performance.<\/p>\n\n\n\n<p>Let&#8217;s learn more about how you can start using DeepSeek V3 right now. And it&#8217;s pretty easy too; just read ahead. \ud83d\udc47<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_to_Get_Started_with_DeepSeek-V3\"><\/span>How to Get Started with DeepSeek-V3<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The third version of Deepseek LLM is by far the best open-source LLM according to the Matrix and the model is free to use. So let&#8217;s check it out and see how you can use it. There are two main ways to use the model.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Method 1: Using the Chat UI<\/h3>\n\n\n\n<p>The easiest way to interact with DeepSeek-V3 is through its chat interface:<\/p>\n\n\n\n<p><strong>Visit the Official Website<\/strong>: Simply search for DeepSeek on your search engine and open the link to their official <a href=\"https:\/\/www.deepseek.com\/\" target=\"_blank\" rel=\"noopener\">website<\/a> (<strong>\u2190<\/strong>or just use this link). Now click on &#8220;Start Now&#8221; for free access.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1892\" height=\"864\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153332.png\" alt=\"DeepSeek Homepage\" class=\"wp-image-11977\" style=\"width:890px\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153332.png 1892w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153332-300x137.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153332-1024x468.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153332-768x351.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153332-1536x701.png 1536w\" sizes=\"auto, (max-width: 1892px) 100vw, 1892px\" \/><figcaption class=\"wp-element-caption\">Deepseek Homepage<\/figcaption><\/figure>\n<\/div>\n\n\n<p>You will be directed to a login\/signup page, where you will need to fill in your details. When you have successfully logged in, you will now see the chat window (like the one shown below).<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1908\" height=\"866\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153821.png\" alt=\"DeepSeek ChatBot\" class=\"wp-image-11978\" style=\"width:890px\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153821.png 1908w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153821-300x136.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153821-1024x465.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153821-768x349.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-153821-1536x697.png 1536w\" sizes=\"auto, (max-width: 1908px) 100vw, 1908px\" \/><\/figure>\n<\/div>\n\n\n<p><strong>Interact via Chat Window<\/strong>: The chat interface is user-friendly and pretty similar to ChatGPT. It also includes additional features like web search, a &#8220;Deep Think&#8221; option, and file attachment support.<\/p>\n\n\n\n<p><strong>Verify the Model<\/strong>: You can confirm you&#8217;re using DeepSeek-V3 by asking the model directly, ensuring you&#8217;re accessing their latest technology.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><\/li>\n<\/ol>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1905\" height=\"863\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-154027.png\" alt=\"DeepSeek ChatBot: model confirmation\" class=\"wp-image-11979\" style=\"width:890px\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-154027.png 1905w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-154027-300x136.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-154027-1024x464.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-154027-768x348.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-21-154027-1536x696.png 1536w\" sizes=\"auto, (max-width: 1905px) 100vw, 1905px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\">Method 2: Running the Model Locally via Hugging Face<\/h3>\n\n\n\n<p>If you don&#8217;t want to use the chat UI but wish to directly use the model, don&#8217;t worry, we got you. For this method you have to switch to Hugging Face. DeepSeek-V3 is available on Hugging Face with its weights fully released:<\/p>\n\n\n\n<p><strong>Clone the GitHub Repository<\/strong>: Start by cloning the DeepSeek AI GitHub repository: <br><code>git clone https:\/\/github.com\/DeepSeekAI\/DeepSeek-V3.git<\/code><\/p>\n\n\n\n<p><strong>Install Dependencies<\/strong>: Navigate to the repository and install the required dependencies: <br><code>pip install -r requirements.txt<\/code><\/p>\n\n\n\n<p><strong>Download Checkpoints<\/strong>: Download the Hugging Face checkpoints from the provided link on the GitHub page.<\/p>\n\n\n\n<p><strong>Run the Model Locally<\/strong>: Follow the instructions on the repository to set up and run the model. For systems with limited hardware, convert the model into a quantized version to reduce memory requirements.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Method_3_sort_of_API_Integration\"><\/span>Method 3 (sort of): API Integration<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>If you have an application in which you want to integrate the DeepSeek V3 as the LLM, you can do that through their API service. Let&#8217;s talk about how you can do that.<\/p>\n\n\n\n<p><strong>Obtain an API Key:<\/strong> Go to the <a href=\"https:\/\/platform.deepseek.com\/api-docs\" target=\"_blank\" rel=\"noopener\">DeepSeek&#8217;s API Platform<\/a> page and sign up for an account. After you have successfully created your account, log in, and navigate to the &#8220;API Keys&#8221; section to create and manage your API keys.<\/p>\n\n\n\n<p><strong>Configure Your Environment:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Base URL:<\/strong> Use <code>https:\/\/api.deepseek.com<\/code> as the base URL for API requests.<\/li>\n\n\n\n<li><strong>API Key:<\/strong> Include your API key in the request headers for authentication.<\/li>\n<\/ul>\n\n\n\n<p><strong>Making API Requests:<\/strong> DeepSeek V3 supports various functionalities, including multi-round conversations, function calling, and JSON output. To send a chat request, use the following code:<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:.875rem;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#1E1E1E\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"import requests\nimport json\n\nurl = &quot;https:\/\/api.deepseek.com\/chat\/completions&quot;\nheaders = {\n    &quot;Content-Type&quot;: &quot;application\/json&quot;,\n    &quot;Authorization&quot;: &quot;Bearer YOUR_API_KEY&quot;\n}\npayload = {\n    &quot;model&quot;: &quot;deepseek-chat&quot;,\n    &quot;messages&quot;: [\n        {&quot;role&quot;: &quot;system&quot;, &quot;content&quot;: &quot;You are a helpful assistant.&quot;},\n        {&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Hello!&quot;}\n    ],\n    &quot;stream&quot;: False\n}\n\nresponse = requests.post(url, headers=headers, data=json.dumps(payload))\nprint(response.json())\n\" style=\"color:#D4D4D4;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki dark-plus\" style=\"background-color: #1E1E1E\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #C586C0\">import<\/span><span style=\"color: #D4D4D4\"> requests<\/span><\/span>\n<span class=\"line\"><span style=\"color: #C586C0\">import<\/span><span style=\"color: #D4D4D4\"> json<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">url = <\/span><span style=\"color: #CE9178\">&quot;https:\/\/api.deepseek.com\/chat\/completions&quot;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">headers = {<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">    <\/span><span style=\"color: #CE9178\">&quot;Content-Type&quot;<\/span><span style=\"color: #D4D4D4\">: <\/span><span style=\"color: #CE9178\">&quot;application\/json&quot;<\/span><span style=\"color: #D4D4D4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">    <\/span><span style=\"color: #CE9178\">&quot;Authorization&quot;<\/span><span style=\"color: #D4D4D4\">: <\/span><span style=\"color: #CE9178\">&quot;Bearer YOUR_API_KEY&quot;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">payload = {<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">    <\/span><span style=\"color: #CE9178\">&quot;model&quot;<\/span><span style=\"color: #D4D4D4\">: <\/span><span style=\"color: #CE9178\">&quot;deepseek-chat&quot;<\/span><span style=\"color: #D4D4D4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">    <\/span><span style=\"color: #CE9178\">&quot;messages&quot;<\/span><span style=\"color: #D4D4D4\">: [<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">        {<\/span><span style=\"color: #CE9178\">&quot;role&quot;<\/span><span style=\"color: #D4D4D4\">: <\/span><span style=\"color: #CE9178\">&quot;system&quot;<\/span><span style=\"color: #D4D4D4\">, <\/span><span style=\"color: #CE9178\">&quot;content&quot;<\/span><span style=\"color: #D4D4D4\">: <\/span><span style=\"color: #CE9178\">&quot;You are a helpful assistant.&quot;<\/span><span style=\"color: #D4D4D4\">},<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">        {<\/span><span style=\"color: #CE9178\">&quot;role&quot;<\/span><span style=\"color: #D4D4D4\">: <\/span><span style=\"color: #CE9178\">&quot;user&quot;<\/span><span style=\"color: #D4D4D4\">, <\/span><span style=\"color: #CE9178\">&quot;content&quot;<\/span><span style=\"color: #D4D4D4\">: <\/span><span style=\"color: #CE9178\">&quot;Hello!&quot;<\/span><span style=\"color: #D4D4D4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">    ],<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">    <\/span><span style=\"color: #CE9178\">&quot;stream&quot;<\/span><span style=\"color: #D4D4D4\">: <\/span><span style=\"color: #569CD6\">False<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D4D4D4\">response = requests.post(url, <\/span><span style=\"color: #9CDCFE\">headers<\/span><span style=\"color: #D4D4D4\">=headers, <\/span><span style=\"color: #9CDCFE\">data<\/span><span style=\"color: #D4D4D4\">=json.dumps(payload))<\/span><\/span>\n<span class=\"line\"><span style=\"color: #DCDCAA\">print<\/span><span style=\"color: #D4D4D4\">(response.json())<\/span><\/span>\n<span class=\"line\"><\/span><\/code><\/pre><\/div>\n\n\n\n<p>Remember to replace the placeholder text &lt;YOUR-API-KEY&gt; with your actual API key that you got when you created your account on the DeepSeek platform. <\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong>Note: <\/strong>It&#8217;s not a good idea to hardcode API keys directly into your code, especially if you plan on uploading your code to a version control platform like GitHub. If anyone with malicious intent gets ahold of your API key they might misuse it. Instead, store it in environment variables.<\/p>\n<\/blockquote>\n\n\n\n<p>If you want more detailed information on available models and their capabilities to see which one best fits your use cases, you can go through <a href=\"https:\/\/api-docs.deepseek.com\/\" target=\"_blank\" rel=\"noopener\">DeepSeek&#8217;s API Documentation<\/a>. And to monitor the status of the API and stay informed about any updates like any change in API key policy, you can check the <a href=\"https:\/\/status.deepseek.com\/\" target=\"_blank\" rel=\"noopener\">API Status Page<\/a>. <\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Key Considerations<\/h3>\n\n\n\n<p>DeepSeek V3 is massive, with 671 billion parameters, making it challenging to run on consumer-grade hardware. For those without high-performance systems, using the chat UI or waiting for Hugging Face spaces to support the model is recommended.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Why_Try_DeepSeek_V3\"><\/span>Why Try DeepSeek V3?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>DeepSeek V3 has demonstrated performance rivaling GPT-4 and outperforming several open-source LLMs, including Claud 3.5 Sonnet. Whether you\u2019re leveraging the model through the chat UI or deploying it locally, this state-of-the-art LLM delivers exceptional results across a wide range of applications.<\/p>\n\n\n\n<p>The table below compares the key features of DeepSeek V3, GPT-4, and Claude 3.5 Sonnet.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Aspect<\/th><th>DeepSeek-V3<\/th><th>GPT-4<\/th><th>Claude 3.5 Sonnet<\/th><\/tr><\/thead><tbody><tr><td><strong>Performance<\/strong><\/td><td>Matches GPT-4&#8217;s capabilities; outperforms many open-source models. <\/td><td>High performance across various tasks. <\/td><td>Excels in reading, coding, math, and vision tasks. <\/td><\/tr><tr><td><strong>Parameter Count<\/strong><\/td><td>671 billion parameters. <\/td><td>Not publicly disclosed. <\/td><td>Not publicly disclosed. <\/td><\/tr><tr><td><strong>Training Data<\/strong><\/td><td>Trained on 14.8 trillion tokens. <\/td><td>Extensive dataset, specifics not publicly disclosed. <\/td><td>Extensive dataset, specifics not publicly disclosed. <\/td><\/tr><tr><td><strong>Cost Efficiency<\/strong><\/td><td>More than 10 times cheaper than GPT-4o or Claude 3.5 Sonnet. <\/td><td>Higher cost per million tokens compared to DeepSeek-V3. <\/td><td>Higher cost per million tokens compared to DeepSeek-V3. <\/td><\/tr><tr><td><strong>Availability<\/strong><\/td><td>Open-source; accessible via chat UI and Hugging Face. <\/td><td>Proprietary; accessible through OpenAI&#8217;s platform. <\/td><td>Proprietary; accessible through Anthropic&#8217;s platform. <\/td><\/tr><tr><td><strong>Release Date<\/strong><\/td><td>December 2024. <\/td><td>March 2024. <\/td><td>June 2024.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>If you want an in-depth analysis of DeepSeek models and where it stands when compared to other popular LLMs, we got you.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Metaschool_DeepSeek_Model_Comparison\"><\/span>Metaschool DeepSeek Model Comparison<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><a href=\"http:\/\/metaschool.so\/models\/deepseek-coder-v2\">DeepSeek-Coder-V2<\/a>: This model, an iteration of DeepSeek-Chat, is tailored for conversational interactions. It boasts an Artificial Analysis Quality Index of 67, indicating superior performance compared to average models. With an output speed of 16 tokens per second and a context window of 128k tokens, it offers efficient processing capabilities. Additionally, its pricing is competitive at $0.20 per 1 million tokens.<\/p>\n\n\n\n<p><a href=\"https:\/\/metaschool.so\/models\/deepseek-v25\">DeepSeek-V2.5<\/a>: An instruction-tuned Qwen2.5 model with 72 billion parameters, DeepSeek-V2.5 focuses on advanced task completion. It has an Artificial Analysis Quality Index of 66 and an output speed of 13 tokens per second. The model also features a 128k token context window and is priced at $1.10 per 1 million tokens.<\/p>\n\n\n\n<p>These pages include a comprehensive comparison of these models, which includes important metrics like quality, speed, pricing, and latency. These resources provide valuable insights to help you select the model that best aligns with your project requirements.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Demo\"><\/span>Demo<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>As promised, let&#8217;s quickly see the DeepSeek V3 in action. We will test some common tasks that we usually use tools like ChatGPT for.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-center\">Generating Code<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1570\" height=\"1070\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163416.png\" alt=\"DeepSeek ChatBot: Generating Code\" class=\"wp-image-12050\" style=\"width:800px\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163416.png 1570w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163416-300x204.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163416-1024x698.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163416-768x523.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163416-1536x1047.png 1536w\" sizes=\"auto, (max-width: 1570px) 100vw, 1570px\" \/><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1565\" height=\"1072\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163445.png\" alt=\"DeepSeek ChatBot: Generating Code\" class=\"wp-image-12051\" style=\"width:800px\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163445.png 1565w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163445-300x205.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163445-1024x701.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163445-768x526.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163445-1536x1052.png 1536w\" sizes=\"auto, (max-width: 1565px) 100vw, 1565px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading has-text-align-center\">Fixing Code<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1566\" height=\"1070\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163714.png\" alt=\"DeepSeek ChatBot: Fixing Code\" class=\"wp-image-12052\" style=\"width:800px\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163714.png 1566w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163714-300x205.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163714-1024x700.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163714-768x525.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163714-1536x1050.png 1536w\" sizes=\"auto, (max-width: 1566px) 100vw, 1566px\" \/><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"700\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163731-1024x700.png\" alt=\"DeepSeek ChatBot: Fixing Code\" class=\"wp-image-12053\" style=\"width:800px\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163731-1024x700.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163731-300x205.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163731-768x525.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163731-1536x1050.png 1536w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163731.png 1565w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading has-text-align-center\">Web Search<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1568\" height=\"1073\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163858.png\" alt=\"DeepSeek ChatBot: Web Search\" class=\"wp-image-12056\" style=\"width:800px;height:auto\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163858.png 1568w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163858-300x205.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163858-1024x701.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163858-768x526.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-163858-1536x1051.png 1536w\" sizes=\"auto, (max-width: 1568px) 100vw, 1568px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading has-text-align-center\">Generating Text<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1564\" height=\"1069\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164144.png\" alt=\"DeepSeek ChatBot: Generating Text\" class=\"wp-image-12057\" style=\"width:800px\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164144.png 1564w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164144-300x205.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164144-1024x700.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164144-768x525.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164144-1536x1050.png 1536w\" sizes=\"auto, (max-width: 1564px) 100vw, 1564px\" \/><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1562\" height=\"1073\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164322.png\" alt=\"DeepSeek ChatBot: Generating Text\" class=\"wp-image-12058\" style=\"width:800px\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164322.png 1562w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164322-300x206.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164322-1024x703.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164322-768x528.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164322-1536x1055.png 1536w\" sizes=\"auto, (max-width: 1562px) 100vw, 1562px\" \/><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1568\" height=\"1070\" src=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164354.png\" alt=\"DeepSeek ChatBot: Generating Text\" class=\"wp-image-12059\" style=\"width:800px\" srcset=\"https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164354.png 1568w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164354-300x205.png 300w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164354-1024x699.png 1024w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164354-768x524.png 768w, https:\/\/metaschool.so\/articles\/wp-content\/uploads\/2025\/01\/Screenshot-2025-01-27-164354-1536x1048.png 1536w\" sizes=\"auto, (max-width: 1568px) 100vw, 1568px\" \/><\/figure>\n<\/div>\n\n\n<p><strong>Related Reading:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/metaschool.so\/articles\/what-is-llm-large-language-model\">What is LLM in AI? Large Language Models Explained!<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/metaschool.so\/articles\/humaneval-benchmark-for-llm-code-generation\">HumanEval Benchmark: Evaluating LLM Code Generation Capability<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/metaschool.so\/articles\/starcoder\">StarCoder: LLM for Code \u2014 A Comprehensive Guide<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/metaschool.so\/articles\/what-is-langchain-complete-guide-2025\">What is LangChain: Complete Guide 2025<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"FAQs\"><\/span>FAQs<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1737364555021\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">What is DeepSeek used for?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>DeepSeek is an AI company that has developed models like DeepSeek-V3, which is utilized for various applications including coding assistance, content creation, and document analysis. Users can interact with DeepSeek&#8217;s AI through platforms such as their official app, which offers functionalities like coding support and long-context conversations. <a href=\"https:\/\/chat.deepseek.com\/?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1737364568120\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Is DeepSeek safe to use?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>DeepSeek provides AI tools designed with user safety in mind. Their applications, such as the DeepSeek AI Assistant available on Google Play, are developed to ensure secure and reliable user experiences. <a href=\"https:\/\/play.google.com\/store\/apps\/details?hl=en_US&amp;id=com.deepseek.chat&amp;utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1737364589138\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Who is behind DeepSeek AI?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>DeepSeek, founded in 2023, is a Chinese company dedicated to making Artificial General Intelligence (AGI) a reality. The organization focuses on unraveling the mysteries of AGI with curiosity and long-term commitment. <a href=\"https:\/\/huggingface.co\/deepseek-ai?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1737364605019\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Is DeepSeek Coder open source?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes, DeepSeek Coder is open source. For example, DeepSeek-Coder-V2 is an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT-4 Turbo in code-specific tasks. <a href=\"https:\/\/github.com\/deepseek-ai\/DeepSeek-Coder-V2?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":19,"featured_media":11974,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[344],"tags":[],"class_list":["post-11962","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/posts\/11962","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/comments?post=11962"}],"version-history":[{"count":22,"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/posts\/11962\/revisions"}],"predecessor-version":[{"id":12084,"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/posts\/11962\/revisions\/12084"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/media\/11974"}],"wp:attachment":[{"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/media?parent=11962"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/categories?post=11962"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metaschool.so\/articles\/wp-json\/wp\/v2\/tags?post=11962"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}