# InterCode-CTF

InterCode-CTF is an AI benchmark; this page records what it measures and traces its data, grader, and scores to primary sources.

Evaluates coding agents that solve capture-the-flag tasks through iterative commands and execution feedback.

## Details

- Address: Online, Global
- Website: [intercode-benchmark.github.io/](<https://intercode-benchmark.github.io/>)
- Tags: Helpful, Viral, Science
- Category: Coding
- Status: Active
- Data licence: MIT
- Data access: open
- Grader: simulation
- Organization: Princeton NLP
- Released: 2023-06
- Paper: [arxiv.org/abs/2306.14898](<https://arxiv.org/abs/2306.14898>)
- Leaderboard: [intercode-benchmark.github.io/](<https://intercode-benchmark.github.io/>)
- Repository: [github.com/princeton-nlp/intercode](<https://github.com/princeton-nlp/intercode>)
- Top-score provenance: unknown
- ABI family: No

## Questions

### Where is InterCode-CTF?

InterCode-CTF is at Online, Global.

### How do I contact InterCode-CTF?

To contact InterCode-CTF, visit https://intercode-benchmark.github.io/.

## Source

From [Benchmark primary sources](https://aibenchmarkindex.com/about), license CC0-1.0, checked 2026-10-15.

Last updated October 15, 2026.

## Links

- This benchmark on the [web page](<https://aibenchmarkindex.com/global/online/intercode-ctf>)
- [Coding in Online](<https://aibenchmarkindex.com/global/online/category/coding.md>)
- [More benchmarks in Online](<https://aibenchmarkindex.com/global/online.md>)

> **Check before you compare.** Benchmark methods and leaderboards change. Follow the cited primary source before using a result in a decision.