Cursor vs Llama: which one to choose in 2026?

Community ratings, features, pricing and free plans: the complete head-to-head between Cursor and Llama to find the right tool for your needs.

Screenshot of Cursor
Verified

Cursor

4.7 (493)

Cursor reinvents the code editor by putting AI at the heart of the development experience. Built on top of VS Code, it lets you edit multiple files at once using natural language, chat with your entire project, and hand off complete tasks to autonomous agents. Since version 2.0, its in-house Composer model and multi-agent interface make it possible to run several tasks in parallel.

Code AssistantDeveloper Tools
View detailsOfficial site
Screenshot of Llama
Verified

Llama

4.0 (130)

Llama is Meta's suite of open-weight large language models (LLMs), designed to provide developers, researchers, and enterprises with powerful, customizable AI tools. The latest iterations, including Llama 3.1 and Llama 4, offer enhanced reasoning, multilingual support, and multimodal capabilities, positioning Llama as a leading open alternative to proprietary models.

Code AssistantCode GeneratorCode ExplanationDeveloper ToolsChatbotResearch Tool
View detailsOfficial site

Comparison table

CriterionCursorLlama
Average rating4.74.0
Number of reviews493130
Free planNoNo
PlansHobby, Pro, TeamsOpen Access
CategoriesCode Assistant, Developer ToolsCode Assistant, Code Generator, Code Explanation, Developer Tools, Chatbot, Research Tool
Last updatedJuly 8, 2026May 2, 2025

See all tools in these categories: Code Assistant, Developer Tools

Our verdict

Cursor or Llama?

With an average rating of 4.7/5 (493 reviews), Cursor comes out ahead of Llama (4.0/5, 130 reviews) with our community.

Llama also covers Code Generator, Code Explanation, Chatbot and Research Tool, ground that Cursor does not directly address.

Features head to head

Cursor

  • Full-featured editor based on VS Code, compatible with your extensions
  • Agent mode that carries out multi-file tasks end to end
  • Composer, an in-house coding model built for speed and agentic tasks
  • Multi-agent interface: up to eight agents running in parallel in isolated workspaces
  • Predictive completion that anticipates your next edits
  • Chat with full project indexing
  • Support for all the leading models on the market

Llama

  • Open-weight models with sizes up to 405B parameters
  • Enhanced reasoning and coding capabilities
  • Multilingual support across multiple languages
  • Multimodal processing in Llama 3.2 and beyond
  • Integration with Meta's platforms and third-party tools
  • Fine-tuning and customization options for specific applications

Pricing compared

Cursor

Hobby

  • Free
  • Limited quota of AI requests
  • Basic completions and chat

Pro

  • $20 per month
  • Extended agent mode usage
  • Access to the most capable models
  • Unlimited completions
  • Pro+ ($60) and Ultra ($200) tiers for heavy usage

Teams

  • $40 per user per month
  • Privacy mode enforced across the whole team
  • Centralized admin and billing

Llama

Open Access

  • Free access to model weights and documentation
  • Ability to run models locally or via Meta's API
  • Support for research and commercial applications
  • Community support and resources

Prices are indicative and may change — check the official sites for up-to-date pricing.

Frequently asked questions

What is the difference between Cursor and Llama?

Both tools share the Code Assistant and Developer Tools space, but Llama adds Code Generator, Code Explanation, Chatbot and Research Tool.

Cursor or Llama: which one is rated higher?

Cursor earns the better average rating: 4.7/5 (493 reviews), versus 4.0/5 (130 reviews) for Llama.

Can you use Cursor or Llama for free?

Cursor does not offer a free plan as far as we know, and Llama does not offer a free plan as far as we know.

Other comparisons

Claude vs CursorCursor vs GitHub CopilotChatGPT vs LlamaClaude Code vs CursorCursor vs DeepSeekCursor vs n8nBland AI vs CursorClaude vs Llama