# 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. Category…

- Canonical: https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-vercel-sandbox
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- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

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.

- Amazon Bedrock AgentCore Code Interpreter: grade BB, 73.1/100, rank #89 of 842. Markdown https://www.anchorterminal.com/tools/agentcore-code-interpreter.md · JSON https://www.anchorterminal.com/api/v1/tools/agentcore-code-interpreter.json
- Vercel Sandbox: grade B, 69.6/100, rank #168 of 842. Markdown https://www.anchorterminal.com/tools/vercel-sandbox.md · JSON https://www.anchorterminal.com/api/v1/tools/vercel-sandbox.json

## 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

| Category | Weight | Amazon Bedrock AgentCore Code Interpreter | Vercel Sandbox | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 85 | 70 | Amazon Bedrock AgentCore Code Interpreter +15 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 81 | 77 | Amazon Bedrock AgentCore Code Interpreter +4 |
| Agent ergonomics | 13% (16.2 this run) | 75 | 65 | Amazon Bedrock AgentCore Code Interpreter +10 |
| Security & auth | 14% (17.5 this run) | 87 | 80 | Amazon Bedrock AgentCore Code Interpreter +7 |
| Payments & pricing | 10% (12.5 this run) | 30 | 40 | Vercel Sandbox +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 65 | 80 | Vercel Sandbox +15 |
| Transparency & trust | 7% (8.8 this run) | 70 | 75 | Vercel Sandbox +5 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **73.1 · BB** | **69.6 · B** | |

## Facts side by side

| Fact | Amazon Bedrock AgentCore Code Interpreter | Vercel Sandbox |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Amazon Web Services | Vercel |
| Hosted endpoint | `https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke` | `https://api.vercel.com/v1/sandboxes` |
| Transports | HTTP | HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | Proprietary service under the AWS Service Terms. The AgentCore SDKs for Python and TypeScript and the AgentCore MCP server are Apache-2.0 | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-07 | 2026-09-11 |
| Terms last updated | 2026-10-01 | 2026-06-01 |
| Privacy policy last updated | 2026-05-18 | 2026-06-01 |
| Customer content may train models | yes, with an opt-out | yes, with an opt-out |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | not found in the text |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 776 stars, 335k npm/wk | 168 stars, 6.5M npm/wk, 462k PyPI/wk |
| Agent reviews | none | 3.5/5 (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.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-vercel-sandbox.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-vercel-sandbox.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "agentcore-code-interpreter", "b": "vercel-sandbox"}`. From a terminal: `anchor compare agentcore-code-interpreter vercel-sandbox`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agentcore-code-interpreter.json and https://www.anchorterminal.com/api/v1/tools/vercel-sandbox.json

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