--- title: "jailbreakbench vs llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jailbreakbench-jailbreakbench-vs-simonw-llm" tools: ["jailbreakbench-jailbreakbench", "simonw-llm"] --- # jailbreakbench vs llm *GraphCanon updated Jul 12, 2026* ## Verdict Pick jailbreakbench if jailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions; pick llm if decision-critical facts for 'llm'. [jailbreakbench](https://jailbreakbench.github.io) reports 626 GitHub stars, 74 forks, and 11 open issues, last pushed Apr 4, 2025. [llm](https://llm.datasette.io) has 12k stars, 920 forks, and 645 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [jailbreakbench's repository](https://github.com/JailbreakBench/jailbreakbench) and [llm's repository](https://github.com/simonw/llm). | | [jailbreakbench](/tools/jailbreakbench-jailbreakbench.md) | [llm](/tools/simonw-llm.md) | | --- | --- | --- | | Tagline | An Open Robustness Benchmark for Jailbreaking Language Models | Access large language models from the command-line | | Stars | 626 | 12,172 | | Forks | 74 | 920 | | Open issues | 11 | 645 | | Language | Python | Python | | Adopt for | JailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions. | Decision-critical facts for 'llm' | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Evaluation & Observability | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jailbreakbench](/tools/jailbreakbench-jailbreakbench.md) | [llm](/tools/simonw-llm.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 463d | 1d | | Open issues (now) | 11 | 645 | | Owner type | Organization | User | | Full report | [trust report](/tools/jailbreakbench-jailbreakbench/trust.md) | [trust report](/tools/simonw-llm/trust.md) | ## Shared compatibility - **Python**: [jailbreakbench](/tools/jailbreakbench-jailbreakbench.md) - Python runtime; [llm](/tools/simonw-llm.md) - Python runtime ## Decision facts: jailbreakbench - **Adopt for:** JailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions. ## Decision facts: llm - **Requirements:** - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities. - **Adopt for:** Decision-critical facts for 'llm' - **License detail:** Apache-2.0 ## Choose when ### Choose jailbreakbench if… - License: jailbreakbench is MIT, llm is Apache-2.0. - Tags unique to jailbreakbench: jailbreaking, language-models, neurips-2024-datasets-and-benchmarks-tra, robustness-benchmark. - Also covers Evaluation & Observability. - JailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions. ### Choose llm if… - License: llm is Apache-2.0, jailbreakbench is MIT. - Requirements: - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities.. - Tags unique to llm: ai, llms, openai. - Also covers Inference & Serving, LLM Frameworks. - - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods. ## When NOT to use jailbreakbench - Last GitHub push was 463 days ago (dormant maintenance, Apr 4, 2025). Validate activity before betting a new project on jailbreakbench. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use llm - - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based. - - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models. ## Common questions ### What is the difference between jailbreakbench and llm? jailbreakbench: An Open Robustness Benchmark for Jailbreaking Language Models. llm: Access large language models from the command-line. See the comparison table for live GitHub stats and shared categories. ### When should I choose jailbreakbench over llm? Choose jailbreakbench over llm when License: jailbreakbench is MIT, llm is Apache-2.0; Tags unique to jailbreakbench: jailbreaking, language-models, neurips-2024-datasets-and-benchmarks-tra, robustness-benchmark; Also covers Evaluation & Observability; JailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions. ### When should I choose llm over jailbreakbench? Choose llm over jailbreakbench when License: llm is Apache-2.0, jailbreakbench is MIT; Requirements: - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities.; Tags unique to llm: ai, llms, openai; Also covers Inference & Serving, LLM Frameworks; - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods. ### When should I avoid jailbreakbench? Last GitHub push was 463 days ago (dormant maintenance, Apr 4, 2025). Validate activity before betting a new project on jailbreakbench. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid llm? - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based. - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models. ### Is jailbreakbench or llm more popular on GitHub? llm has more GitHub stars (12,172 vs 626). Stars measure visibility, not whether either tool fits your constraints. ### Are jailbreakbench and llm open source? Yes - both are open-source projects on GitHub (jailbreakbench: MIT, llm: Apache-2.0). ### Where can I find alternatives to jailbreakbench or llm? GraphCanon lists graph-backed alternatives at [jailbreakbench alternatives](/tools/jailbreakbench-jailbreakbench/alternatives) and [llm alternatives](/tools/simonw-llm/alternatives) ([jailbreakbench markdown twin](/tools/jailbreakbench-jailbreakbench/alternatives.md), [llm markdown twin](/tools/simonw-llm/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/jailbreakbench-jailbreakbench-vs-simonw-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jailbreakbench or llm? jailbreakbench: Dormant. llm: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for jailbreakbench and llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jailbreakbench trust report](/tools/jailbreakbench-jailbreakbench/trust); [llm trust report](/tools/simonw-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jailbreakbench-jailbreakbench`](/api/graphcanon/graph?tool=jailbreakbench-jailbreakbench) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_