E2B vs LangGraph

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

	E2B Agents	LangGraph Agents
Tagline	Secure cloud sandboxes for running AI-generated code	Stateful, graph-based agent orchestration from LangChain.
Category	Agents	Agents
Pricing	Freemium· Hobby: Free with $100 one-time credits, up to 1-hour sessions, 20 concurrent sandboxes. Pro: $150/mo + usage, 24-hour sessions, 100 concurrent sandboxes (extendable to 1,100). Ultimate: custom enterprise pricing. Usage billed per second: vCPU $0.000014-$0.000112/s, RAM $0.0000045/GiB/s.	Freemium· Free open-source; LangGraph Platform paid
Model	LLM-agnostic (works with GPT-4o, Claude, Mistral, Llama, and self-hosted models)	BYO (Claude / GPT / open)
Editorial score	—	8.8 / 10
Use cases	Code interpreter for chat appsAutonomous coding agentsData analysis with pandas and matplotlibBrowser-use and computer-use agentsLLM tool execution backendSWE-agent style repo editsSecure sandbox for untrusted user codeMulti-agent workflow runtimeAI-generated report generationRAG pipelines with code execution steps	stateful agentshuman-in-loopproduction
Pros	Sub-200ms sandbox startup with no cold starts, thanks to Firecracker microVMs True VM-level isolation, safe for arbitrary LLM-generated code and untrusted shell commands Long-running sessions up to 24 hours, enough for multi-step data or coding agents Open-source core with self-host and BYOC options for airgapped or regulated environments LLM-agnostic with first-party support in LangChain, LangGraph, LlamaIndex, and OpenAI/Anthropic SDKs Custom sandbox templates let teams pre-bake dependencies and skip package-install latency Generous $100 free-credit tier makes prototyping essentially free	Reliable, debuggable agent graphs Built-in persistence + HITL Production-grade Tight LangSmith integration
Cons	Per-second usage billing on top of the $150/mo Pro fee can get expensive for high-volume agent traffic Concurrency cap of 100 sandboxes on Pro (extendable at extra cost) can bottleneck production apps Self-hosting requires operating Firecracker, which is nontrivial versus just calling an API Free Hobby tier is a one-time credit grant, not an ongoing free allowance Focused purely on execution infrastructure, no built-in agent framework, planner, or memory layer	Steeper learning curve than CrewAI Verbose to set up
Website	e2b.dev	www.langchain.com

Pick E2B if

✅ Sub-200ms sandbox startup with no cold starts, thanks to Firecracker microVMs
✅ True VM-level isolation, safe for arbitrary LLM-generated code and untrusted shell commands
✅ Long-running sessions up to 24 hours, enough for multi-step data or coding agents
✅ Open-source core with self-host and BYOC options for airgapped or regulated environments

Pick LangGraph if

✅ Reliable, debuggable agent graphs
✅ Built-in persistence + HITL
✅ Production-grade
✅ Tight LangSmith integration

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