Cursor vs Continue.dev: Which AI Code Assistant Wins for 2025?

In late 2024, GitHub reported that over 90% of developers in surveyed teams had tried AI coding tools, yet only a fraction had committed to a daily driver. The market is no longer about whether to use AI assistance—it’s about which platform deserves a permanent spot in your IDE. Two names dominate the conversation: Cursor, the commercial heavyweight that redefined the editor experience, and Continue.dev, the open-source challenger that puts customization first. Both are excellent, but they serve fundamentally different workflows. Here’s how they stack up as we head into 2025.

The Core Philosophy: Editor vs. Extension

The most significant difference between Cursor and Continue.dev isn’t a feature—it’s architecture.

Cursor is a standalone IDE, forked from VS Code. It is a complete environment built from the ground up with AI as the primary interface. When you open Cursor, you are not using VS Code with a plugin; you are using a purpose-built tool where the AI is woven into the file tree, the diff view, and the terminal. This deep integration allows for features like “Tab” (autocomplete) that predicts not just the next line, but multi-line edits across your file, and the ability to apply AI-generated code directly to your project with a single click.

Continue.dev, conversely, is a plugin that lives inside your existing editor—VS Code or JetBrains. It does not replace your environment; it augments it. This is a crucial distinction for developers who have spent years configuring their keybindings, themes, and workflows. Continue.dev respects your setup and adds an AI layer on top, offering a chat panel, code edits, and autocomplete without forcing you to migrate.

The takeaway: If you want a new, integrated experience, Cursor is the choice. If you want to keep your current IDE and just add intelligence, Continue.dev is the logical fit.

Model Flexibility: The Walled Garden vs. The Open Market

This is where the 2025 landscape truly diverges.

Cursor has historically been a “walled garden” in terms of proprietary models. It offers a curated list of models—primarily its own variants of Anthropic’s Claude and OpenAI’s GPT models, alongside a few open-source options like Llama. The advantage is simplicity: you don’t need to manage API keys or worry about configuration; you just pick a model and go. However, this convenience comes with a price. You are locked into Cursor’s pricing tiers, and you cannot easily plug in a niche, self-hosted model that you’ve fine-tuned for your specific codebase.

Continue.dev is the polar opposite. It is a “bring your own key” (BYOK) platform. You can connect it to virtually any LLM provider: OpenAI, Anthropic, Google Gemini, local models via Ollama or LM Studio, or even a custom endpoint behind your corporate firewall. As of late 2024, Continue.dev supports over 100 model providers. This is a massive advantage for enterprises with strict data privacy policies—they can run a local Llama 3.1 model and keep all code on-premises.

The takeaway: Cursor is the better choice for developers who want a “just works” experience with top-tier models. Continue.dev is the winner for teams that need data privacy, cost control, or the ability to experiment with cutting-edge open-source models.

Code Completion: Tab vs. Inline

The quality of autocomplete is often the deciding factor for daily productivity.

Cursor’s “Tab” feature is arguably the best in the industry. It doesn’t just predict the next token; it predicts entire blocks of code. It understands your recent edits and can suggest multi-line changes that span functions. The model uses a custom index of your entire codebase to provide context-aware suggestions. In my testing, Cursor’s Tab often feels like it is reading my mind, especially when refactoring or writing boilerplate. It is fast, accurate, and rarely intrusive.

Continue.dev’s autocomplete is solid but slightly more conservative. It relies on the underlying model you have configured. If you are using a high-end model like GPT-4o, the suggestions are excellent, but they are not as deeply integrated into the editor’s state as Cursor’s. Continue.dev’s inline completion is more of a “next line” predictor than a “next block” predictor. However, it has improved significantly with the introduction of their “Edit” mode, which allows you to select a block of code and ask the AI to refactor it in place.

The takeaway: For pure, hands-free autocomplete, Cursor wins. For deliberate, selected-code refactoring, Continue.dev is very competitive.

Chat and Context: The Battle of the Index

Both tools offer a chat interface, but how they handle context is the key differentiator.

Cursor uses a sophisticated codebase indexing system. It runs a background process that analyzes your entire repository, building a vector index. When you ask a question in the chat, Cursor can retrieve relevant files automatically, or you can explicitly add files to the context with @file mentions. This “codebase awareness” is powerful. You can ask, “Why is the login function failing?” and Cursor will pull the relevant auth module, the API route, and the database schema into the context window without you having to manually copy-paste.

Continue.dev uses a similar concept with its “Codebase” feature, but it is more manual. You need to explicitly select files or use the @ symbol to reference them. While it does have a vector index (using the codebase command), it is less aggressive about automatically pulling in relevant files. This means you have more control over the context, which is great for focused tasks, but it requires more discipline and understanding of your own codebase.

The takeaway: Cursor is better for exploratory questions about unfamiliar code. Continue.dev is better for developers who know exactly which files they are working with and want to keep the context tightly scoped.

Pricing and Open Source: The Cost Factor

This is the most clear-cut difference.

Cursor is a commercial product. As of early 2025, it costs $20/month for the Pro tier (which includes unlimited autocomplete and a limited number of slow GPT-4 requests) and $40/month for the Ultra tier (which includes faster requests and higher usage limits). There is a free tier, but it is limited to 50 slow requests per month—enough for a test drive, not for daily work.

Continue.dev is 100% open-source (Apache 2.0 license). The core plugin is free, and you can use it with any model you have access to. If you are using a free model like Llama 3.1 via Ollama, your cost is zero. If you are using OpenAI’s API, you pay per token, which can be cheaper or more expensive than Cursor depending on your usage patterns. For heavy users, Cursor’s flat fee is often cheaper than paying per token for GPT-4. But for light users, Continue.dev is practically free.

The takeaway: Cursor’s subscription is a predictable monthly cost. Continue.dev offers flexibility—free with open-source models, or variable costs with commercial APIs.

The Verdict for 2025

There is no single winner; there is only the right tool for your workflow.

Choose Cursor if:

  • You want the most polished, integrated AI experience available.
  • You value the best-in-class Tab autocomplete.
  • You are willing to pay a flat monthly fee for a managed service.
  • You don’t need to run models on-premises or behind a firewall.

Choose Continue.dev if:

  • You are committed to your current VS Code or JetBrains setup.
  • You need data privacy and want to run local or self-hosted models.
  • You want to avoid subscription fees and prefer pay-as-you-go API pricing.
  • You want the flexibility to switch between models (from GPT to Claude to Llama) at will.

In 2025, the “best” AI assistant is no longer about raw capability—both are capable. It is about control. Cursor offers a beautiful, curated experience that takes the thinking out of the equation. Continue.dev offers a blank canvas for developers who want to build their own AI workflow. Assess your priorities, and the choice becomes clear.