Cursor vs LMQL

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Cursor Coding	LMQL Coding
Tagline	AI-first VS Code fork — chat, edit, and agentic coding in one IDE.	A query language for LLMs that bolts types, templates, and constraints onto prompting.
Category	Coding	Coding
Pricing	Freemium· Free hobby; Pro $20/mo; Business $40/mo	Free· Free and open source (Apache-style); self-host or use with your own model API keys
Model	Claude / GPT (configurable)	Multi-model (OpenAI, Hugging Face Transformers, llama.cpp)
Editorial score	9.5 / 10	—
Use cases	codingrefactorsagentic editsIDE	constrained-decodingstructured-outputprompt-engineeringagent-loopsllm-app-development
Pros	Best-in-class multi-file edits Choice of underlying models Composer agent is genuinely useful Tab completion is faster than Copilot	Type and regex constraints enforced by the runtime, not after-the-fact parsing Backend-agnostic across OpenAI, HF Transformers, and llama.cpp Nested queries and Python control flow make prompts composable and reusable Fully open source with an academic research pedigree (ETH Zurich SRI Lab)
Cons	Heavier than vanilla VS Code Pricing creeping up Some extensions lag VS Code	Niche DSL with a real learning curve compared to plain Python + JSON mode Smaller community and ecosystem than LangChain, LlamaIndex, or DSPy Research-paced development; no commercial support or hosted offering
Website	cursor.com	lmql.ai

Pick Cursor if

Pick LMQL if

✅ Type and regex constraints enforced by the runtime, not after-the-fact parsing
✅ Backend-agnostic across OpenAI, HF Transformers, and llama.cpp
✅ Nested queries and Python control flow make prompts composable and reusable
✅ Fully open source with an academic research pedigree (ETH Zurich SRI Lab)