LM Studio vs Together AI

Side-by-side comparison of LM Studio and Together AI: pricing, features, API access, and community ratings.

AI comparison summary

TL;DR: LM Studio is ideal if you prioritize privacy and want to run models entirely on your own hardware without cloud dependencies, while Together AI offers a cloud-based platform with significantly faster inference speeds and advanced optimization features. Together AI provides enterprise-scale infrastructure with fine-tuning and compute services, whereas LM Studio focuses on simplicity for local deployment. Choose LM Studio for complete data control and offline capability, or Together AI for performance, scalability, and access to managed cloud infrastructure.

LM Studio
LM Studio

Run AI models locally and privately on your own hardware

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Together AI
Together AI

The AI Native Cloud — full-stack platform for inference, compute, and model shaping

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Category
AI infrastructure
AI infrastructure
Pricing
Freemium
Freemium
Starting price
Free tier
Audience
All audiences
Technical
API available
Open source
Self-hostable
Model provider
Multiple (Qwen, Gemma, DeepSeek, GPT-OSS, Apple MLX, etc.)
Open-source models (e.g., DeepSeek, Gemma, Llama, Qwen, GLM, MiniMax, Kimi)
Founded
2022
Headquarters
United States
San Francisco, USA
Key strengths
  • ·Fully local & private — no data leaves your machine
  • ·Supports a wide range of open-source LLMs (Qwen, Gemma, DeepSeek, MLX, etc.)
  • ·OpenAI-compatible API for seamless developer integration
  • ·Headless/server deployment via llmstер CLI tool
  • ·Industry-leading inference speed (31%+ more TPS than next-fastest OSS engine)
  • ·Full-stack platform: inference, compute, fine-tuning, storage, and sandboxes
  • ·Cutting-edge in-house research (FlashAttention, ThunderKittens, ATLAS)
  • ·Broad open-source model library with serverless and dedicated deployment options