Side by side
HarmBench vs PromptRAID
Both stand on ai security testing tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
HarmBench provides a configurable pipeline for measuring attacks, defenses, and red-teaming performance. Its broad model support and distributed execution options serve technical evaluation work, but setup and compute requirements are significant.
Visit HarmBenchPromptRAID is a useful fit for teams or researchers who need a self-hosted command-line framework for prompt-injection red teaming and reports of test outcomes. Look elsewhere if you need mutation generators for triggered prompt injection or data leakage, since those categories are not yet implemented.
Visit PromptRAIDThe facts
| HarmBench | PromptRAID | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux, Self-hosted | Linux, Windows |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | github.com | github.com |
| On ai security testing tools | #17 of 29 | #21 of 29 |
HarmBench: what it does well
- Free and open-source framework
- Supports multimodal models and closed APIs
- Allows custom models and methods
- Runs locally, with Ray, or SLURM
- Includes multiple evaluation classifiers
What to know first
- Requires sufficient GPU capacity
- Self-hosted Linux deployment
- Some model additions need manual configuration
- Classifier models are for evaluation only
PromptRAID: what it does well
- Free and open source under the MIT License.
- Maps implemented mutation categories to verified MITRE ATLAS IDs.
- Supports five named model providers and OpenAI-compatible endpoints.
- Exports JSON and HTML reports and stores results in SQLite.
- Distinguishes neutral echo from adopted compliance in its verdicts.
What to know first
- Requires Python 3.9 or later.
- Running tests requires at least one provider API key.
- Triggered prompt injection and data leakage have no mutation generators.
- Three taxonomy categories are unverified placeholders.
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