{"slug":"continue-vs-tabnine","title":"Continue vs Tabnine","url":"https://www.aversusb.net/compare/continue-vs-tabnine","faqCount":5,"faqs":[{"question":"Is Continue completely free to use?","answer":"Yes, Continue is open-source under Apache 2.0 license with no cost. However, you may need to host your own LLM server or use a free API provider like Ollama. Some optional cloud features have minimal costs, but the core extension is entirely free."},{"question":"Does Continue send my code to external servers?","answer":"No, by default Continue processes all code locally on your machine when using self-hosted models like Llama 2 or Mistral. You have complete control over data handling. You can optionally connect to cloud APIs, but this is optional and configurable."},{"question":"Which AI model does Tabnine use?","answer":"Tabnine uses proprietary models trained on open-source code, with optional integration of GPT-4 and other third-party models. The exact training data composition is not publicly disclosed. Enterprise customers can use on-premise models."},{"question":"Can I use Continue in a team setting?","answer":"Continue supports team usage through shared configuration files and GitHub sync, but lacks built-in team management features. Tabnine offers team dashboards, usage analytics, and permission controls, making it better suited for enterprise deployments."},{"question":"What's the minimum GPU requirement for Continue?","answer":"Continue works with models from 3B to 70B parameters. A 7B model runs on 6GB VRAM (RTX 3060), while 13B needs 10GB (RTX 4060 Ti). CPU-only inference is possible but will be significantly slower (5-10x). Tabnine has no local hardware requirements as it's cloud-based."}],"faqPageSchema":{"@context":"https://schema.org","@type":"FAQPage","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#faq","url":"https://www.aversusb.net/compare/continue-vs-tabnine","inLanguage":"en-US","name":"Continue vs Tabnine — FAQ","description":"Frequently asked questions about Continue vs Tabnine","dateModified":"2026-06-24T14:15:47.762Z","author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"},"publisher":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"},"isPartOf":{"@type":"Article","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#article"},"license":"https://creativecommons.org/licenses/by/4.0/","speakable":{"@type":"SpeakableSpecification","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#faq-speakable","cssSelector":[".faq-answer"]},"mainEntity":[{"@type":"Question","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#q1","name":"Is Continue completely free to use?","answerCount":1,"acceptedAnswer":{"@type":"Answer","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#a1","text":"Yes, Continue is open-source under Apache 2.0 license with no cost. However, you may need to host your own LLM server or use a free API provider like Ollama. Some optional cloud features have minimal costs, but the core extension is entirely free.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/continue-vs-tabnine","upvoteCount":1,"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"}}},{"@type":"Question","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#q2","name":"Does Continue send my code to external servers?","answerCount":1,"acceptedAnswer":{"@type":"Answer","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#a2","text":"No, by default Continue processes all code locally on your machine when using self-hosted models like Llama 2 or Mistral. You have complete control over data handling. You can optionally connect to cloud APIs, but this is optional and configurable.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/continue-vs-tabnine","upvoteCount":1,"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"}}},{"@type":"Question","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#q3","name":"Which AI model does Tabnine use?","answerCount":1,"acceptedAnswer":{"@type":"Answer","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#a3","text":"Tabnine uses proprietary models trained on open-source code, with optional integration of GPT-4 and other third-party models. The exact training data composition is not publicly disclosed. Enterprise customers can use on-premise models.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/continue-vs-tabnine","upvoteCount":1,"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"}}},{"@type":"Question","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#q4","name":"Can I use Continue in a team setting?","answerCount":1,"acceptedAnswer":{"@type":"Answer","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#a4","text":"Continue supports team usage through shared configuration files and GitHub sync, but lacks built-in team management features. Tabnine offers team dashboards, usage analytics, and permission controls, making it better suited for enterprise deployments.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/continue-vs-tabnine","upvoteCount":1,"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"}}},{"@type":"Question","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#q5","name":"What's the minimum GPU requirement for Continue?","answerCount":1,"acceptedAnswer":{"@type":"Answer","@id":"https://www.aversusb.net/compare/continue-vs-tabnine#a5","text":"Continue works with models from 3B to 70B parameters. A 7B model runs on 6GB VRAM (RTX 3060), while 13B needs 10GB (RTX 4060 Ti). CPU-only inference is possible but will be significantly slower (5-10x). Tabnine has no local hardware requirements as it's cloud-based.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/continue-vs-tabnine","upvoteCount":1,"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"}}}]}}