Cursor
LLaMA
Pricing
PricingFreemium
PricingOpen Source
Free Plan
Free Plan
Free Plan
Side-by-side comparison based on pricing, features, and community data.
Cursor and LLaMA are both AI coding tools. Cursor is Freemium; LLaMA is Open Source. These tools serve entirely different needs and shouldn't be compared directly.
These tools serve entirely different needs and shouldn't be compared directly. Cursor is a finished IDE for developers who want AI assistance while coding—it's plug-and-play with cloud-hosted models. LLaMA is a raw foundational model for builders who need to deploy AI themselves, control infrastructure, or fine-tune on private data. Pick Cursor if you code daily and want immediate productivity gains. Pick LLaMA if you're building an AI product, need offline inference, operate at massive scale, or handle sensitive data requiring self-hosting. LLaMA is also outdated (Llama 3+ exist); only choose it for legacy reasons.
Pick Cursor if you're a developer who wants AI-assisted coding in a familiar editor without managing infrastructure.
Pick LLaMA if you're building an AI application that needs self-hosted, fine-tunable models or must process data offline.
| Feature | Cursor | LLaMA |
|---|---|---|
| Purpose | Complete coding IDE | Foundational LLM to build upon |
| Setup time | Minutes (download & login) | Hours to days (infrastructure setup) |
| Data privacy | Queries sent to OpenAI/Anthropic | Local inference, no external calls |
| Offline capability | — | ✓ Full self-hosting |
| Context window | Varies by model (GPT-4: 8K+) | 4,096 tokens (outdated) |
| Cost at scale | Per-token API charges | One-time GPU investment |
| Multimodal | ✓ Via GPT-4 Vision | — |
| Fine-tuning | Limited (via API only) | ✓ Full local control |
Synthesized by AI from verified tool data · cached per pair
50 AI requests per month
500 AI requests per month, unlimited basic features
