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LM Studio

Free tier

Run AI models locally and privately on your own hardware

Free tier available·All audiences·Powered by Local open models (llama.cpp, MLX) and US-hosted open source models (Kimi K3, GLM 5.3, DeepSeek V4 Flash/Pro, GLM 5.2)·API available

Key strengths

Natively local LLM inference with llama.cpp and MLXZero Data Retention (ZDR) cloud servicesReal-time local voice transcriptionAgentic capabilities for work, coding, and computer controlSupport for frontier open models (DeepSeek, Kimi, GLM)
Free tier + paid plans · from $20 USD/mo
United States
Self-hostable

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Recent changes

  • Plans updated: Free plan ($0) includes local LLMs, Bionic Agent, offline voice transcription, LM Link for up to 5 devices, and limited web search. Bionic+ is $20/month with US-hosted open source models and web search. Pro is $100/month with 5× usage limits and early access to new features. Team/organization billing available.
  • Models updated: Local open models (llama.cpp, MLX) and US-hosted open source models (Kimi K3, GLM 5.3, DeepSeek V4 Flash/Pro, GLM 5.2)
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Documentation & Developer Resources

LM Studio provides a local API that developers can target for LLM inference, making it a drop-in local backend for AI-powered applications. The platform supports both fully offline deployments and hybrid setups that optionally route to US-hosted open source models (with Zero Data Retention).

What developers should know:

  • Local API: Available for programmatic integration with local LLM inference
  • Inference backends: llama.cpp (broad hardware support) and MLX (optimized for Apple Silicon)
  • Supported hosted models: Kimi K3, GLM 5.3, DeepSeek V4 Flash/Pro, GLM 5.2
  • Self-hosting: Fully supported; the application can run entirely offline
  • Open source: Source code is publicly available on GitHub (5,359 stars)
  • Device connectivity: LM Link enables multi-device access (up to 5 devices on free tier)
  • Agentic runtime: Bionic Agent layer handles tool use, computer control, and task orchestration

Developers building privacy-sensitive applications or needing local inference for air-gapped or low-latency environments will find the llama.cpp/MLX stack and local API particularly relevant. The optional ZDR cloud tier provides a path to scaling with hosted frontier models without compromising on data retention policies.

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