Best code execution sandbox for AI agents

Combined ranking

1. 1
   EE2B—15 pts

   GPT #1Claude #1Gemini #1

   Purpose-built agent sandboxes, strong Firecracker microVM isolation, fast startup, snapshots, excellent Python/TypeScript SDKs, and the deepest code-interpreter ecosystem

   Claude The de facto standard for agent sandboxes — open-source Firecracker microVM isolation, ~150ms cold starts, first-class Python/JS SDKs, a battle-tested code interpreter layer, and the widest adoption across agent frameworks (LangChain, LlamaIndex, Vercel AI SDK) plus marquee users like Perplexity; persistent filesystems and up-to-24h sessions fit long-running agents.

   Gemini Industry standard for agent code execution with purpose-built SDKs (Python/JS), seamless Jupyter-like environment, and ultra-fast (~150ms) Firecracker microVM boot times.

   To stay #1

   per GPT Add first-class credential brokering so secrets never enter sandbox memory

   per Claude Make self-hosting genuinely easy and cut at-scale pricing — heavy users still hit cost and orchestration friction that pushes them toward DIY Firecracker.

   per Gemini Native support for persistent storage/state that survives session shutdowns without manual setup.

2. 2
   DDaytona—10 pts

   GPT #3Claude #3Gemini #2

   Open-source and highly flexible, letting teams easily self-host secure workspaces on their own infrastructure with sub-100ms startup times.

   GPT Highly composable isolated computers with containers, Linux and Windows VMs, GPUs, forks, lifecycle automation, and filesystem or memory snapshots

   Claude Fastest spin-up in the class (sub-100ms sandbox creation), designed agent-first from scratch — declarative images, OGS/open-source core, native process+LSP+git APIs that coding agents actually need, and aggressive per-second pricing.

   To rank higher

   per GPT Demonstrate enterprise-scale reliability and security maturity comparable to the category leaders

   per Claude Close the maturity and ecosystem gap with E2B — fewer framework integrations, shorter production track record, and thinner enterprise/compliance story.

   per Gemini Elevate out-of-the-box container isolation to strict microVM security by default without complex Kata Container configuration.

3. 3
   Modal—9 pts

   GPT #4Claude #2Gemini #3

   Sandboxes ride on an exceptional serverless platform — near-instant container image builds, GPU access inside sandboxes (rare and valuable for ML-agent workloads), gVisor isolation, Python-native ergonomics, and proven scale-out to thousands of concurrent executions.

   Gemini The premier choice for serverless agent workloads requiring massive GPU acceleration, rapid container boot times, and heavy data/ML pipeline scaling.

   GPT Excellent infrastructure, rapid provisioning, elastic CPU/GPU capacity, custom images, volumes, tunnels, and filesystem, directory, and memory snapshots

   To rank higher

   per GPT Add a more opinionated agent-sandbox layer with credential brokering and granular runtime policy controls

   per Claude Treat sandboxes as a first-class product rather than an adjunct to serverless compute — it lacks agent-native primitives like filesystem/memory snapshot-and-fork and a purpose-built code-interpreter API.

   per Gemini Provide dedicated interactive Agent SDKs (like shell, filesystem, and port-forwarding APIs) optimized for conversational, multi-turn agents.

4. 4
   VVercel Sandbox—4 pts

   GPT #2Claude —Gemini —

   Firecracker isolation, OCI and Docker support, persistent sandboxes, instant snapshots, high concurrency, live previews, and unusually strong programmable egress controls

   To rank higher

   per GPT Make its advanced persistence and firewall capabilities fully stable outside the Vercel-centric workflow

5. 5
   CCloudflare Sandbox SDK—3 pts

   GPT #5Claude #4Gemini —

   Sandboxed code execution at the edge with tight Workers/Durable Objects integration, preview URLs, per-sandbox filesystems, and Cloudflare's global network making it the lowest-latency option for user-facing agent apps already on the platform; generous pricing via Workers plans.

   GPT Tight Workers integration, globally distributed infrastructure, persistent execution through Durable Objects, custom images, code-interpreter contexts, filesystem APIs, and preview URLs

   To rank higher

   per GPT Replace its comparatively young container-based security and operational model with hardened microVM-grade isolation

   per Claude Lift compute ceilings — container resource limits, no GPUs, and platform lock-in to the Workers runtime keep heavy or portable agent workloads away.

6. 6
   NNorthflank—2 pts

   GPT —Claude —Gemini #4

   Enterprise-grade reliability offering robust compliance (SOC 2), multi-cloud / Bring Your Own Cloud (BYOC) deployment, and choice of Kata, Firecracker, or gVisor isolation.

   To rank higher

   per Gemini Simplify developer setup and lower pricing/overhead for lightweight, single-script execution environments.

7. 7
   AAWS Bedrock AgentCore—1 pts

   GPT —Claude #5Gemini —

   The enterprise answer — session-isolated sandboxed execution wired into Bedrock agents with IAM, VPC, CloudTrail auditing, and compliance certifications that regulated buyers require; scales on AWS infrastructure with no capacity planning.

   To rank higher

   per Claude Slash setup complexity and decouple from the Bedrock/AWS agent stack — standalone SDK ergonomics are far behind E2B and it's effectively unusable outside AWS-committed shops.

8. 8
   BBlaxel—1 pts

   GPT —Claude —Gemini #5

   Extremely low cold-start latency (~25ms) and a perpetual stateful model optimized for high-frequency, intermittent agent workloads.

   To rank higher

   per Gemini Grow the developer ecosystem and library integrations to match the mature SDK support of older platforms.

Just missed the top 5

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously