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Boxes.dev vs ZeroGPU (2026)

A side-by-side comparison of Boxes.dev and ZeroGPU on pricing, features, and fit, so you can decide which is right for you.

Last updated: June 10, 2026

Quick answer

Boxes.dev and ZeroGPU are both strong choices, but they fit different needs. Choose Boxes.dev if you mainly need running claude code or codex on proprietary codebases without exposing code to third-party servers — its edge is full control over the execution environment for ai coding agents. Choose ZeroGPU if you need deploying large language model apis without managing dedicated gpu servers — its edge is significantly reduces gpu compute costs by eliminating idle resource waste. Boxes.dev starts at Pricing varies based on compute usage and environment size; ZeroGPU starts at Custom pricing based on usage and compute requirements.

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Boxes.dev logo
Boxes.dev

Run powerful AI coding agents in your own cloud environment.

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ZeroGPU logo
ZeroGPU

Run AI inference faster without wasting compute resources.

PricingFreemium
PricingFreemium
Starts atPricing varies based on compute usage and environment size
Starts atCustom pricing based on usage and compute requirements
Free tierLimited free tier available for individual developers
Free tierLimited free tier available for small-scale inference workloads
RatingNot yet rated
RatingNot yet rated
Best forRunning Claude Code or Codex on proprietary codebases without exposing code to third-party servers
Best forDeploying large language model APIs without managing dedicated GPU servers
Key strengthFull control over the execution environment for AI coding agents
Key strengthSignificantly reduces GPU compute costs by eliminating idle resource waste
Main drawbackSetup and configuration may require DevOps knowledge for new users
Main drawbackCold start latency may impact applications requiring ultra-low response times

Features compared

Boxes.dev

  • Isolated cloud sandbox environments for running AI coding agents
  • Native support for Claude Code and OpenAI Codex
  • On-demand containerized boxes with full terminal and file system access
  • Secure execution with control over data residency and environment configuration

ZeroGPU

  • Serverless GPU scheduling that allocates compute only during active inference requests
  • Cost-efficient resource management to reduce idle GPU spend
  • Support for popular AI model types including LLMs and image generation models
  • Simple developer-friendly API for integrating inference into existing workflows

Pros & cons

Boxes.dev

Pros

  • Full control over the execution environment for AI coding agents
  • Improved security and data privacy compared to shared cloud AI IDEs
  • Supports leading AI coding agents including Claude Code and Codex out of the box

Cons

  • Setup and configuration may require DevOps knowledge for new users
  • Costs can scale with compute usage, making it less predictable for heavy workloads

ZeroGPU

Pros

  • Significantly reduces GPU compute costs by eliminating idle resource waste
  • Simplifies infrastructure management so developers can focus on product building
  • Flexible scaling suits both small projects and large production workloads

Cons

  • Cold start latency may impact applications requiring ultra-low response times
  • Pricing transparency is limited and custom quotes may complicate budget planning

The verdict

Choose Boxes.dev if

you mainly need to running claude code or codex on proprietary codebases without exposing code to third-party servers. Its edge: full control over the execution environment for ai coding agents.

Choose ZeroGPU if

you mainly need to deploying large language model apis without managing dedicated gpu servers. Its edge: significantly reduces gpu compute costs by eliminating idle resource waste.

Frequently asked questions

Is Boxes.dev better than ZeroGPU?

Neither is universally better. Boxes.dev is stronger for running claude code or codex on proprietary codebases without exposing code to third-party servers, with an edge in full control over the execution environment for ai coding agents. ZeroGPU is stronger for deploying large language model apis without managing dedicated gpu servers, with an edge in significantly reduces gpu compute costs by eliminating idle resource waste. Pick based on your main task.

Which is cheaper, Boxes.dev or ZeroGPU?

Boxes.dev starts at Pricing varies based on compute usage and environment size and ZeroGPU starts at Custom pricing based on usage and compute requirements. Free tier: Boxes.dev — Limited free tier available for individual developers; ZeroGPU — Limited free tier available for small-scale inference workloads.

What is Boxes.dev best for?

Boxes.dev is best for running claude code or codex on proprietary codebases without exposing code to third-party servers, spinning up reproducible ai development environments for engineering teams, automating code generation and review workflows in a controlled cloud setting.

What is ZeroGPU best for?

ZeroGPU is best for deploying large language model apis without managing dedicated gpu servers, running image generation pipelines with variable or bursty traffic patterns, reducing cloud gpu costs for ai startups and research teams in production.

Do Boxes.dev and ZeroGPU have free plans?

Boxes.dev: Limited free tier available for individual developers. ZeroGPU: Limited free tier available for small-scale inference workloads. Check each tool's pricing page for current limits, as plans change.