LangChainvsTogether AI

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

LangChain

AI Agent Frameworks

Framework for building applications with large language models

Together AI

LLM APIs & Inference

Fast inference and fine-tuning for open-source models

FeatureLangChainTogether AI
CategoryAI Agent FrameworksLLM APIs & Inference
PricingFree + LangSmith paidPay-per-use
GitHub Stars
More stars
98k
PlatformsmacOS, Linux, WindowsWeb
Key Features
  • Chain composition
  • RAG pipelines
  • Agent toolkits
  • Memory systems
  • Streaming
  • Multi-model
  • LangGraph
  • Fast inference
  • Fine-tuning
  • Open models
  • Serverless
  • Dedicated
Pros
  • + Massive ecosystem and community
  • + Modular and composable
  • + Supports every major LLM provider
  • + Excellent documentation
  • + LangSmith for monitoring
  • + Competitive pricing
  • + Fast inference speeds
  • + Fine-tuning support
  • + Latest open models
  • + Serverless + dedicated options
Cons
  • Can be overly complex for simple tasks
  • Frequent breaking changes
  • Abstraction overhead
  • Steep learning curve
  • Smaller model selection than Replicate
  • Less community features
  • Documentation could be better
  • No free tier for inference
Tags
open-sourceframeworkpythonjavascriptragchains
inferencecloudfastopen-models

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