e2b vs Modal Sandboxes
e2b vs Modal Sandboxes: side-by-side comparison of two ai sandbox & runtime environments systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Cost & capability
| e2b | Modal Sandboxes | |
|---|---|---|
| Capability band | competent | competent |
| Capability composite | 55 | 55 |
| Cost tier | premium | mid |
| Use cases | Scoped Agentic, Code Generation Focused, Latency Sensitive | Scoped Agentic, Code Generation Focused |
Where they differ (9)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| e2b | Modal Sandboxes | |
|---|---|---|
| Cost tier | premium | mid |
| Use cases | Scoped Agentic, Code Generation Focused, Latency Sensitive | Scoped Agentic, Code Generation Focused |
| Type | Code-execution sandbox infrastructure for AI agents (firecracker microVMs) | Serverless container runtime + AI-agent sandboxes (Modal Labs) |
| Created | 2023 (founded) | 2021 (Modal founded); 2024 (Sandboxes feature) |
| Pricing | Free + Pro ($150/mo) + Enterprise (quote); pay-per-second sandbox billing | Pay-per-second compute (CPU + GPU); free tier (~$30/mo credit); team + enterprise tiers |
| Funding | $13M+ total raised (seed 2023 + Series A Sept-2024; Sunflower Capital + a16z + Lightspeed; Decibel + Y Combinator) | $87M total raised; Series B Sept-2024 led by Lux Capital + Redpoint; ~$1.1B valuation |
| Deployment | Managed cloud (e2b.dev) + Apache 2.0 OSS SDK for self-hostable runtime | Managed cloud (no self-hosting) |
| API surface | REST + SDK (Python / TS / JS); CLI | Python SDK (primary); REST API |
| Optimised for | ephemeral secure code execution for AI agents (artifacts / tools) | serverless GPU + general-purpose agent sandboxes; batch inference + AI app backends |
At a glance
| e2b | Modal Sandboxes | |
|---|---|---|
| Section | AI sandbox & runtime environments | AI sandbox & runtime environments |
| Tier | T1 | T1 |
| Type | Code-execution sandbox infrastructure for AI agents (firecracker microVMs) | Serverless container runtime + AI-agent sandboxes (Modal Labs) |
| Created | 2023 (founded) | 2021 (Modal founded); 2024 (Sandboxes feature) |
| License | Apache 2.0 (SDK + CLI) | — |
| GitHub | github.com/e2b-dev/e2b ~7k+ stars; github.com/e2b-dev/infra (runtime) | — |
| Pricing | Free + Pro ($150/mo) + Enterprise (quote); pay-per-second sandbox billing | Pay-per-second compute (CPU + GPU); free tier (~$30/mo credit); team + enterprise tiers |
| Funding | $13M+ total raised (seed 2023 + Series A Sept-2024; Sunflower Capital + a16z + Lightspeed; Decibel + Y Combinator) | $87M total raised; Series B Sept-2024 led by Lux Capital + Redpoint; ~$1.1B valuation |
| Deployment | Managed cloud (e2b.dev) + Apache 2.0 OSS SDK for self-hostable runtime | Managed cloud (no self-hosting) |
| API surface | REST + SDK (Python / TS / JS); CLI | Python SDK (primary); REST API |
| MCP | native (MCP server for sandbox tools) | — |
| Optimised for | ephemeral secure code execution for AI agents (artifacts / tools) | serverless GPU + general-purpose agent sandboxes; batch inference + AI app backends |
Taxonomy
| Axis | e2b | Modal Sandboxes |
|---|---|---|
| storage | none-trivial | none-trivial |
| retrieval | none | none |
| persistence | ephemeral | ephemeral |
| update | read-only | read-only |
| unit | file | file |
| governance | opaque | opaque |
| conflict | out-of-scope | out-of-scope |
Pros & cons
e2b
Pros: Standard substrate for code-execution-as-tool in major AI products (Anthropic Claude Code uses e2b); <200ms cold start; Firecracker microVM isolation; Apache 2.0 OSS SDK; major customers (Anthropic + Perplexity + Hugging Face).
Cons: Specialized to code-execution sandbox use case; less general-purpose than Modal / Daytona; managed pricing premium relative to self-hosted Firecracker.
Modal Sandboxes
Pros: Best-in-class serverless GPU support (A100 / H100 on-demand); Sandboxes are general-purpose (not just code-exec); large LLM-app customers (Suno, Ramp, Anthropic workloads); $1.1B valuation; Erik Bernhardsson founder pedigree.
Cons: Managed-only (no self-host); GPU pricing premium; sandbox feature newer than e2b; Python-only SDK.