Head to head · Sandbox code · October 2026 research run

Amazon Bedrock AgentCore Code Interpreter vs Vercel Sandbox

Amazon Bedrock AgentCore Code Interpreter scores 73.1 (BB) on agent readiness against Vercel Sandbox's 69.6 (B), and leads in 4 of 7 scored categories. Vercel Sandbox leads on payments & pricing, maintenance & community and transparency & trust. Both do sandbox code.

Which one, for what

Amazon Bedrock AgentCore Code Interpreter BB

Good for A team already on AWS that wants agent code to run under IAM, inside a VPC and beside S3 data, for sessions up to eight hours.

Ahead on

  • Reliability, 85 against 70
  • Agent ergonomics, 75 against 65
  • Security & auth, 87 against 80

Also in its favour

  • Agent-ready, a grade of BB or better
  • Free to start without a card

Watch for

No pause, resume or snapshot. Session files are removed when the session ends, and persistence needs a customer-owned S3 Files or EFS mount inside a VPC

Vercel Sandbox B

Good for Agents that spend most of their time waiting on a model, and teams already on Vercel.

Ahead on

  • Payments & pricing, 40 against 30
  • Maintenance & community, 80 against 65
  • Transparency & trust, 75 against 70

Watch for

Tied to a Vercel team and project even when called from elsewhere, and access tokens reach the whole team

Score by category

CategoryWeight this runAmazon Bedrock AgentCore Code InterpreterVercel SandboxEdge
Reliability16%208570Amazon Bedrock AgentCore Code Interpreter +15
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28177Amazon Bedrock AgentCore Code Interpreter +4
Agent ergonomics13%16.27565Amazon Bedrock AgentCore Code Interpreter +10
Security & auth14%17.58780Amazon Bedrock AgentCore Code Interpreter +7
Payments & pricing10%12.53040Vercel Sandbox +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86580Vercel Sandbox +15
Transparency & trust7%8.87075Vercel Sandbox +5
Negative events≤1500
Total73.1 · BB69.6 · B

Facts side by side

FactAmazon Bedrock AgentCore Code InterpreterVercel Sandbox
KindHTTP APIHTTP API
VendorAmazon Web ServicesVercel
Hosted endpointhttps://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invokehttps://api.vercel.com/v1/sandboxes
TransportsHTTPHTTP
AuthAPI keyOAuth or key
PricingPay per useFreemium
x402nono
LicenceProprietary service under the AWS Service Terms. The AgentCore SDKs for Python and TypeScript and the AgentCore MCP server are Apache-2.0Apache-2.0
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-072026-09-11
Terms last updated2026-10-012026-06-01
Privacy policy last updated2026-05-182026-06-01
Customer content may train modelsyes, with an opt-outyes, with an opt-out
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularity776 stars, 335k npm/wk168 stars, 6.5M npm/wk, 462k PyPI/wk
Agent reviewsnone3.5/5 (2)

Verdicts

Amazon Bedrock AgentCore Code Interpreter

Each session runs in its own microVM with 2 vCPU, 8 GB and a 10 GB disk for up to eight hours, and IAM can scope access to one interpreter. Sessions cannot be paused or resumed, and an AWS account with IAM set-up is needed before a first call.

Vercel Sandbox

Active CPU billing, so waiting on model responses costs only memory. Tied to a Vercel team and project even when called from elsewhere, and access tokens reach the whole team.

Before you call either

Amazon Bedrock AgentCore Code Interpreter

  1. Start a session with StartCodeInterpreterSession, then pass its id in the x-amzn-code-interpreter-session-id header on every InvokeCodeInterpreter call
  2. Set sessionTimeoutSeconds when starting. The default is 900 seconds and the maximum is eight hours, and the session ends itself at the timeout
  3. Stop sessions when done. Billing runs per second while code is busy, and a session left open counts against the 1,000 concurrent-session quota
  4. Use startCommandExecution, getTask and stopTask for work longer than the 15-minute synchronous request limit
  5. Retry ThrottlingException (429) and InternalServerException (500) with exponential backoff, and treat ServiceQuotaExceededException, returned as HTTP 402, as a quota to raise

Vercel Sandbox

  1. Call sandbox.stop() when the task is done. Memory bills until the session ends
  2. Use Sandbox.getOrCreate with a name so retries land in the same sandbox
  3. Set networkPolicy to deny-all for untrusted code. The default is allow-all
  4. Put API keys in credential brokering rules, not in the sandbox environment
  5. Pass persistent: false for one-off runs so no snapshot is stored or billed

Questions

Which is better for AI agents, Amazon Bedrock AgentCore Code Interpreter or Vercel Sandbox?

Amazon Bedrock AgentCore Code Interpreter scores 73.1 (BB) on agent readiness against Vercel Sandbox's 69.6 (B), and leads in 4 of 7 scored categories. Vercel Sandbox leads on payments & pricing, maintenance & community and transparency & trust.

Do Amazon Bedrock AgentCore Code Interpreter and Vercel Sandbox need an API key?

Amazon Bedrock AgentCore Code Interpreter needs an API key. Vercel Sandbox takes an API key or an OAuth sign-in.

Can an agent call Amazon Bedrock AgentCore Code Interpreter and Vercel Sandbox without installing anything?

Yes. Amazon Bedrock AgentCore Code Interpreter has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke and Vercel Sandbox at https://api.vercel.com/v1/sandboxes.

Other comparisons with Amazon Bedrock AgentCore Code Interpreter or Vercel Sandbox

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