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 (12)
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) |
| Latest release | v2.61.0 (2026-10-26) | v1.6.2 (2026-10-16) |
| License | Apache-2.0 | Apache-2.0 (client SDK only; platform proprietary) |
| GitHub | e2b-dev/E2B — ~15k stars, last commit 2026-10 | modal-labs/modal-client — ~530 stars, last commit 2026-10 |
| Pricing | Hobby $0 (one-time $100 credit, 20 concurrent sandboxes); Pro $150/mo + usage (100 concurrent; Pro+ $650, Pro++ $1,150); Enterprise custom ($3,000/mo minimum, BYOC); per-second usage vCPU $0.000014/s, RAM $0.0000045/GiB-s | 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 | Both (self-hosted + managed cloud) — E2B Cloud; open-source Apache-2.0 runtime (e2b-dev/infra) can be self-hosted; enterprise BYOC | 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) |
| Latest release | v2.61.0 (2026-10-26) | v1.6.2 (2026-10-16) |
| License | Apache-2.0 | Apache-2.0 (client SDK only; platform proprietary) |
| GitHub | e2b-dev/E2B — ~15k stars, last commit 2026-10 | modal-labs/modal-client — ~530 stars, last commit 2026-10 |
| Pricing | Hobby $0 (one-time $100 credit, 20 concurrent sandboxes); Pro $150/mo + usage (100 concurrent; Pro+ $650, Pro++ $1,150); Enterprise custom ($3,000/mo minimum, BYOC); per-second usage vCPU $0.000014/s, RAM $0.0000045/GiB-s | 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 | Both (self-hosted + managed cloud) — E2B Cloud; open-source Apache-2.0 runtime (e2b-dev/infra) can be self-hosted; enterprise BYOC | 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 |
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.