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← Back to E2B (Environment to Boot) Overview

E2B (Environment to Boot) Pricing & Plans 2026

Complete pricing guide for E2B (Environment to Boot). Compare all plans, analyze costs, and find the perfect tier for your needs.

Try E2B (Environment to Boot) Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether E2B (Environment to Boot) is worth it →

🆓Free Tier Available
💎3 Paid Plans
⚡No Setup Fees

Choose Your Plan

Hobby (Free)

$0 with $100 one-time compute credit

mo

  • ✓Up to 1 hour sandbox lifetime
  • ✓Limited concurrent sandboxes
  • ✓Community support
  • ✓Standard CPU and memory limits
  • ✓Public sandbox templates
Start Free Trial →
Most Popular

Pro

$150/month + per-second compute usage

mo

  • ✓Up to 24-hour sandbox lifetime
  • ✓Higher concurrency limits
  • ✓Custom Dockerfile-based templates
  • ✓Team accounts and shared resources
  • ✓Priority email support
  • ✓Increased CPU, memory, and disk allocations
Start Free Trial →

Enterprise

Custom (contact sales)

mo

  • ✓Self-hosted and on-premise deployment
  • ✓SOC 2 Type II compliance
  • ✓Custom SLAs and dedicated support
  • ✓SSO, audit logging, and admin controls
  • ✓Dedicated capacity and reserved compute
  • ✓Custom integrations and onboarding
Contact Sales →

Pricing sourced from E2B (Environment to Boot) · Last verified March 2026

Feature Comparison

FeaturesHobby (Free)ProEnterprise
Up to 1 hour sandbox lifetime✓✓✓
Limited concurrent sandboxes✓✓✓
Community support✓✓✓
Standard CPU and memory limits✓✓✓
Public sandbox templates✓✓✓
Up to 24-hour sandbox lifetime—✓✓
Higher concurrency limits—✓✓
Custom Dockerfile-based templates—✓✓
Team accounts and shared resources—✓✓
Priority email support—✓✓
Increased CPU, memory, and disk allocations—✓✓
Self-hosted and on-premise deployment——✓
SOC 2 Type II compliance——✓
Custom SLAs and dedicated support——✓
SSO, audit logging, and admin controls——✓
Dedicated capacity and reserved compute——✓
Custom integrations and onboarding——✓

Is E2B (Environment to Boot) Worth It?

✅ Why Choose E2B (Environment to Boot)

  • • Hardware-level security isolation using Firecracker microVMs provides unmatched protection against code execution exploits and malicious AI-generated code
  • • Industry-leading sub-150ms startup times enable real-time AI interactions without performance penalties or user-facing delays
  • • Purpose-built for AI workflows with native integrations for LangChain, AutoGen, and other popular frameworks reducing implementation complexity
  • • Generous free tier includes $100 in usage credits and community support, making it accessible for development and prototyping workflows
  • • Custom template system eliminates cold-start delays by pre-configuring environments with necessary libraries and dependencies
  • • Enterprise-grade scalability supporting up to 1,100 concurrent sandboxes and 24-hour session lengths for complex computational workflows

⚠️ Consider This

  • • No GPU support currently available, limiting use cases that require machine learning inference, training, or GPU-accelerated computational workloads
  • • Ephemeral sandbox nature means all data is permanently lost upon termination unless explicitly exported, requiring careful data management strategies
  • • Per-second usage-based pricing model can escalate costs quickly for high-volume automated code execution or long-running computational tasks
  • • Cloud-only deployment with no option for on-premises or offline installation, creating dependency on external infrastructure and internet connectivity
  • • Limited to Linux-based environments within Debian sandbox images, potentially restricting compatibility with Windows-specific applications or frameworks

What Users Say About E2B (Environment to Boot)

👍 What Users Love

  • ✓Hardware-level security isolation using Firecracker microVMs provides unmatched protection against code execution exploits and malicious AI-generated code
  • ✓Industry-leading sub-150ms startup times enable real-time AI interactions without performance penalties or user-facing delays
  • ✓Purpose-built for AI workflows with native integrations for LangChain, AutoGen, and other popular frameworks reducing implementation complexity
  • ✓Generous free tier includes $100 in usage credits and community support, making it accessible for development and prototyping workflows
  • ✓Custom template system eliminates cold-start delays by pre-configuring environments with necessary libraries and dependencies
  • ✓Enterprise-grade scalability supporting up to 1,100 concurrent sandboxes and 24-hour session lengths for complex computational workflows
  • ✓Comprehensive SDKs for Python and JavaScript provide full programmatic control and seamless integration with existing development workflows

👎 Common Concerns

  • ⚠No GPU support currently available, limiting use cases that require machine learning inference, training, or GPU-accelerated computational workloads
  • ⚠Ephemeral sandbox nature means all data is permanently lost upon termination unless explicitly exported, requiring careful data management strategies
  • ⚠Per-second usage-based pricing model can escalate costs quickly for high-volume automated code execution or long-running computational tasks
  • ⚠Cloud-only deployment with no option for on-premises or offline installation, creating dependency on external infrastructure and internet connectivity
  • ⚠Limited to Linux-based environments within Debian sandbox images, potentially restricting compatibility with Windows-specific applications or frameworks
  • ⚠Network latency between client and sandbox can impact performance for simple computational tasks compared to local code execution environments

Pricing FAQ

What is E2B used for?

E2B provides secure cloud sandboxes for executing AI-generated code. It is most commonly used by developers building AI agents, coding copilots, and data-analysis assistants who need a safe, isolated environment to run untrusted code produced by LLMs without risking their own infrastructure.

How is E2B different from running code in a Docker container?

E2B uses Firecracker microVMs rather than containers, which provides hardware-level isolation with a dedicated kernel per sandbox. This is significantly more secure than container isolation (shared host kernel) when running untrusted LLM-generated code, while still booting in under a second.

Which AI frameworks integrate with E2B?

E2B offers native SDK integrations and documented patterns for LangChain, LlamaIndex, OpenAI Assistants API, Anthropic Claude tool use, and the Vercel AI SDK. The Python and TypeScript SDKs make it straightforward to plug sandbox execution into any custom agent loop.

Can E2B run code with a graphical interface?

Yes. E2B Desktop is a sandbox variant that provides a full Linux desktop environment accessible via VNC, allowing computer-use agents to control a browser, IDE, or arbitrary GUI applications. This is the same primitive used by many production browser-automation and computer-use agents.

How does E2B pricing work?

E2B has a free Hobby tier with $100 of compute credit to start. The Pro plan is $150/month and includes higher concurrency, longer sandbox lifetimes, and team features, plus per-second compute usage charges. Enterprise pricing covers self-hosted/on-prem deployments, SOC 2, and custom SLAs.

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