{"id":5787,"date":"2026-03-25T09:00:00","date_gmt":"2026-03-25T08:00:00","guid":{"rendered":"https:\/\/learnllm.nl\/?p=5787"},"modified":"2026-04-06T15:17:19","modified_gmt":"2026-04-06T13:17:19","slug":"open-source-vs-closed-ai","status":"publish","type":"post","link":"https:\/\/learnllm.nl\/en\/kennisbank\/ai-modellen\/open-source-vs-gesloten-ai\/","title":{"rendered":"Open source vs closed AI models: which one suits your work?"},"content":{"rendered":"<p>Open source AI models are freely available and customisable. Closed source AI models you only use through the vendor's servers and subscriptions. The difference between the two determines how much control you have over your data, what you pay and how flexibly you can deploy AI in the workplace.<\/p>\n<p>In this overview, we compare open source and closed AI models on five points: definition, cost, control, privacy and performance. For each point, you will read what the difference means concretely for your work.<\/p>\n<h2>What are open source and closed AI models?<\/h2>\n<p>Open source AI models are systems where the source code, model weights and often information about the training data are publicly available. Anyone with the right technical knowledge can run, modify or improve the model. Well-known examples are Meta's Llama series, Mistral and DeepSeek.<\/p>\n<p>Closed AI models (also known as proprietary models) are only accessible via the creator's API or platform. You can use the model, but not see how it works or modify it. Think of ChatGPT from OpenAI, Claude from Anthropic and Gemini from Google.<\/p>\n<p>Want to understand exactly <a href=\"https:\/\/learnllm.nl\/en\/knowledge-base\/basic-knowledge\/wat-is-chatgpt\/\">What ChatGPT is and how it works<\/a>? If so, it helps to understand the basics before making the comparison.<\/p>\n<h2>When is an AI model truly open source?<\/h2>\n<p>The Open Source Initiative published a standard for determining whether an AI model is actually open source in October 2024. That definition requires full access to source code, model parameters (such as weights) and training data information.<\/p>\n<p>In practice, many companies call their models \u2018open source\u2019 when they are not fully so. This is called \u2018openwashing\u2019, similar to greenwashing in sustainability marketing.<\/p>\n<p>For example, Meta requires platforms with more than 700 million monthly users to apply for a special licence for their Llama models. That is not completely open. The difference becomes more relevant when you understand <a href=\"https:\/\/learnllm.nl\/en\/knowledge-base\/basic-knowledge\/what-types-of-ai-are-there\/\">what types of AI there are<\/a> and how they relate to each other.<\/p>\n<h2>Comparison: open source vs closed AI models<\/h2>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Open source<\/th>\n<th>Closed<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Access to source code<\/td>\n<td>Fully transparent<\/td>\n<td>Not available<\/td>\n<\/tr>\n<tr>\n<td>Adaptability<\/td>\n<td>Fine-tuning and full customisation possible<\/td>\n<td>Limited to available settings<\/td>\n<\/tr>\n<tr>\n<td>Start-up costs<\/td>\n<td>High (hosting, technical knowledge)<\/td>\n<td>Low (create account, start immediately)<\/td>\n<\/tr>\n<tr>\n<td>Costs at scale<\/td>\n<td>Lower (own infrastructure)<\/td>\n<td>Higher (pay-per-use stacks up)<\/td>\n<\/tr>\n<tr>\n<td>Data Privacy<\/td>\n<td>Data remains on own servers<\/td>\n<td>Data goes to external servers<\/td>\n<\/tr>\n<tr>\n<td>Management and updates<\/td>\n<td>Own responsibility<\/td>\n<td>Supplier manages everything<\/td>\n<\/tr>\n<tr>\n<td>Performance (2026)<\/td>\n<td>Fast moving in, top models comparable<\/td>\n<td>Still slightly ahead on toughest tasks<\/td>\n<\/tr>\n<tr>\n<td>Support<\/td>\n<td>Community-driven<\/td>\n<td>Professional support from supplier<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>What do open source vs closed AI models cost?<\/h2>\n<p>The cost difference depends on how intensively you use AI and at what scale.<\/p>\n<p>Closed models are cheap to start with. You create an account, choose a subscription and can get started right away. For an individual professional or small team using limited AI, this is often the most economical option.<\/p>\n<p>Want to know what the different subscriptions cost? Read our overview of <a href=\"https:\/\/learnllm.nl\/en\/knowledge-base\/chatgpt-manual\/what-does-chatgpt-cost\/\">What ChatGPT costs per subscription<\/a>.<\/p>\n<p>Open source models have higher start-up costs. You need hosting (in-house servers or cloud GPUs), technical knowledge to run the model and time for configuration. But variable costs are lower: you don't pay per API call or per token.<\/p>\n<p>For organisations making thousands of API calls every day, the cost picture tilts. The greater the usage, the more advantageous open source becomes compared to pay-per-use models. For smaller teams with limited usage, closed models tend to be cheaper.<\/p>\n<h2>How much control do you have over open source AI models?<\/h2>\n<p>Control is the most underrated difference between open source and closed AI models.<\/p>\n<p>With an open source model, you decide when to make updates, how to configure the model and where to store your data. You can fine-tune the model to your own data, add or remove specific features, and integrate it with your existing systems.<\/p>\n<p>With closed models, the supplier decides when updates come and what changes are made. This can have unpleasant consequences. If a vendor rolls out a model update that temporarily degrades performance, there is nothing you can do about it except wait for it to be fixed.<\/p>\n<p>For organisations with unique workflows or stringent compliance requirements, this advantage weighs heavily. You are not dependent on roadmap decisions from an external party.<\/p>\n<p>Want to understand how to use AI models effectively in your daily work? In the <a href=\"https:\/\/learnllm.nl\/en\/ai-course\/chatgpt-course\/\">ChatGPT course from LearnLLM<\/a> teach you to build a working method step by step, including checkpoints you use to verify output before using it.<\/p>\n<h2>What about privacy in open source vs closed AI models?<\/h2>\n<p>Privacy is often the deciding factor when choosing between open source and closed AI.<\/p>\n<p>With open source models, you can run everything on-premises. Your data never leaves your own infrastructure. This is essential for organisations in sectors with strict privacy requirements: healthcare, financial services, government and legal practices.<\/p>\n<p>With closed models, you send data to remote servers. Most vendors offer strong security and promise not to use your data for training. But you are dependent on their policies and any policy changes around data retention.<\/p>\n<p>More and more organisations are therefore taking a hybrid approach. They use closed models for general, non-sensitive tasks and deploy open source models for anything involving confidential data.<\/p>\n<p>A routing layer determines per prompt which model handles the demand. What that difference looks like in practice depends on <a href=\"https:\/\/learnllm.nl\/en\/knowledge-base\/basic-knowledge\/how-ai-works\/\">exactly how AI works<\/a> and where your data ends up in the processing process.<\/p>\n<h2>Which AI models perform better: open source or closed?<\/h2>\n<p>Closed models like GPT-4 and Claude still score highest on the toughest benchmarks. But the gap is narrowing measurably. See the overview of <a href=\"https:\/\/learnllm.nl\/en\/knowledge-base\/ai-models\/claude-models\/\">all Claude models and their characteristics<\/a> To see how a closed model evolves.<\/p>\n<p>Open source models such as Llama 3, Mistral, Qwen and <a href=\"https:\/\/learnllm.nl\/en\/knowledge-base\/ai-models\/what-is-deepseek\/\">DeepSeek<\/a> now match closed models on many standard benchmarks. The speed of innovation in open source is high: new models regularly reach production scale within weeks of release.<\/p>\n<p>The trend is clear: open source is catching up, and for many practical tasks, the difference in quality is negligible. You can read how generative AI as a whole is evolving in our article on <a href=\"https:\/\/learnllm.nl\/en\/knowledge-base\/basic-knowledge\/what-is-generative-ai\/\">what generative AI is and how it differs from other forms of AI<\/a>.<\/p>\n<h2>Open source or closed AI: which suits your work?<\/h2>\n<p>The right choice depends on four factors: your budget, your technical capacity, your privacy requirements and the scale at which you use AI.<\/p>\n<h3>Choose closed AI models like:<\/h3>\n<p>You want to get started quickly without technical implementation. You have a limited budget for infrastructure. You don't process sensitive data via AI.<\/p>\n<h3>Choose open source AI models like:<\/h3>\n<p>You use AI extensively on a daily basis and want to cut costs. You need full control over your data. You need to meet compliance requirements in sectors such as healthcare, finance or government.<\/p>\n<p>Many organisations combine both. They use a closed model for day-to-day tasks and run an open source model for sensitive or specialised applications. Want to know <a href=\"https:\/\/learnllm.nl\/en\/knowledge-base\/basic-knowledge\/what-can-you-do-with-chatgpt\/\">What you can do with ChatGPT<\/a> as a closed model? That gives you a concrete picture of what you get without the technical overhead of open source.<\/p>\n<p>Want to learn for yourself which type of AI model best suits your work situation? Take a look at the complete overview of <a href=\"https:\/\/learnllm.nl\/en\/ai-course\/\">AI courses at LearnLLM<\/a> and choose the training that matches the tool you use.<\/p>\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Open source AI models are freely available and customisable. Closed AI models you use only through servers and subscriptions<\/p>","protected":false},"author":1,"featured_media":5786,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[122],"tags":[],"class_list":["post-5787","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-modellen"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Open source vs gesloten AI-modellen: welke past bij jouw werk?<\/title>\n<meta name=\"description\" content=\"Wat zijn de verschillen tussen open source en gesloten AI-modellen? 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