Cursor vs oMLX

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

	Cursor Coding	oMLX Coding
Tagline	AI-first VS Code fork — chat, edit, and agentic coding in one IDE.	Native macOS LLM inference server built on MLX, with paged SSD KV caching for Apple Silicon agents.
Category	Coding	Coding
Pricing	Freemium· Free hobby; Pro $20/mo; Business $40/mo	Free· Free, Apache 2.0 open source
Model	Claude / GPT (configurable)	Multi-model (Qwen, Llama, Mistral, Gemma, DeepSeek, MiniMax, GLM)
Editorial score	9.5 / 10	—
Use cases	codingrefactorsagentic editsIDE	local-llm-inferencecoding-agentsapple-siliconopenai-compatible-apimlx
Pros	Best-in-class multi-file edits Choice of underlying models Composer agent is genuinely useful Tab completion is faster than Copilot	Paged SSD KV cache slashes agent TTFT from 30-90s to <5s on long contexts Drop-in OpenAI and native Anthropic /v1/messages endpoints for Claude Code, Cursor, OpenClaw Continuous batching delivers ~4.14x generation speedup at 8x concurrency Native signed/notarized menu-bar app (not Electron) with web dashboard Apache 2.0, reuses your existing LM Studio model directory
Cons	Heavier than vanilla VS Code Pricing creeping up Some extensions lag VS Code	Apple Silicon and macOS 15+ only - no Linux, Windows or NVIDIA Best benchmarks assume an M3 Ultra 512GB few readers actually own Young project (VLM support only since v0.2.0) - feature surface still maturing No hosted/cloud option; you supply the hardware
Website	cursor.com	omlx.ai

Pick Cursor if

Pick oMLX if

✅ Paged SSD KV cache slashes agent TTFT from 30-90s to <5s on long contexts
✅ Drop-in OpenAI and native Anthropic /v1/messages endpoints for Claude Code, Cursor, OpenClaw
✅ Continuous batching delivers ~4.14x generation speedup at 8x concurrency
✅ Native signed/notarized menu-bar app (not Electron) with web dashboard