--- title: "jailbreakbench vs LLMSurvey" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jailbreakbench-jailbreakbench-vs-rucaibox-llmsurvey" tools: ["jailbreakbench-jailbreakbench", "rucaibox-llmsurvey"] --- # jailbreakbench vs LLMSurvey *GraphCanon updated Jul 12, 2026* ## Verdict Pick jailbreakbench when tags unique to jailbreakbench: python; pick LLMSurvey when pricing: Since no detailed pricing plan was specified in the repository contents, it can be inferred that access to the materials and resources of LLMSurvey might be free; however, specific details about usage. [jailbreakbench](https://jailbreakbench.github.io) reports 626 GitHub stars, 74 forks, and 11 open issues, last pushed Apr 4, 2025. [LLMSurvey](https://arxiv.org/abs/2303.18223) has 12k stars, 935 forks, and 30 open issues, last pushed Mar 11, 2025. Figures are from public GitHub metadata via [jailbreakbench's repository](https://github.com/JailbreakBench/jailbreakbench) and [LLMSurvey's repository](https://github.com/RUCAIBox/LLMSurvey). | | [jailbreakbench](/tools/jailbreakbench-jailbreakbench.md) | [LLMSurvey](/tools/rucaibox-llmsurvey.md) | | --- | --- | --- | | Tagline | JailbreakBench: An Open Robustness Benchmark for Jailbreaking Language Models [NeurIPS 2024 Datasets and Benchmarks Track] | A comprehensive collection of papers and resources related to Large Language Models. | | Stars | 626 | 12,187 | | Forks | 74 | 935 | | Open issues | 11 | 30 | | Language | Python | Python | | Adopt for | - | LLMSurvey is a comprehensive resource center dedicated to large language model research, collecting and organizing scholarly materials and resources relevant to chain-of-thought reasoning, in-context learning, RLHF, and训 | | Persona | - | - | | Runtime | - | - | | License | MIT | The license for LLMSurvey is unknown based on the provided repository information. | | Categories | LLM Frameworks, Inference & Serving, Evaluation & Observability | LLM Frameworks, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jailbreakbench](/tools/jailbreakbench-jailbreakbench.md) | [LLMSurvey](/tools/rucaibox-llmsurvey.md) | | --- | --- | --- | | Days since push | 463d | 487d | | Open issues (now) | 11 | 30 | | Full report | [trust report](/tools/jailbreakbench-jailbreakbench/trust.md) | [trust report](/tools/rucaibox-llmsurvey/trust.md) | ## Decision facts: LLMSurvey - **Pricing:** freemium - Since no detailed pricing plan was specified in the repository contents, it can be inferred that access to the materials and resources of LLMSurvey might be free; however, specific details about usage - **Adopt for:** LLMSurvey is a comprehensive resource center dedicated to large language model research, collecting and organizing scholarly materials and resources relevant to chain-of-thought reasoning, in-context learning, RLHF, and训 - **License detail:** The license for LLMSurvey is unknown based on the provided repository information. ## Choose when ### Choose jailbreakbench if… - Tags unique to jailbreakbench: python. - Also covers Inference & Serving. - More recently updated (last pushed Apr 4, 2025). ### Choose LLMSurvey if… - Pricing: Since no detailed pricing plan was specified in the repository contents, it can be inferred that access to the materials and resources of LLMSurvey might be free; however, specific details about usage. - Tags unique to LLMSurvey: pre-training, chain-of-thought, llm, instruction-tuning. - You should use LLMSurvey if you are seeking deep insights into specific advancements such as long chain-of-thought (CoT) reasoning approaches used by DeepSeek-R1 or OpenAI's o-series models. ## 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. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use LLMSurvey - You might not want to use LLMSurvey if you prefer tools that offer practical implementation details over a survey-style summary and organization of research papers. - Consider other resources if your focus is on hands-on development rather than deep academic exploration, as LLMSurvey provides extensive academic coverage but fewer direct coding or implementation how ## Common questions ### What is the difference between jailbreakbench and LLMSurvey? jailbreakbench: JailbreakBench: An Open Robustness Benchmark for Jailbreaking Language Models [NeurIPS 2024 Datasets and Benchmarks Track]. LLMSurvey: A comprehensive collection of papers and resources related to Large Language Models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose jailbreakbench over LLMSurvey? Choose jailbreakbench over LLMSurvey when Tags unique to jailbreakbench: python; Also covers Inference & Serving; More recently updated (last pushed Apr 4, 2025). ### When should I choose LLMSurvey over jailbreakbench? Choose LLMSurvey over jailbreakbench when Pricing: Since no detailed pricing plan was specified in the repository contents, it can be inferred that access to the materials and resources of LLMSurvey might be free; however, specific details about usage; Tags unique to LLMSurvey: pre-training, chain-of-thought, llm, instruction-tuning; You should use LLMSurvey if you are seeking deep insights into specific advancements such as long chain-of-thought (CoT) reasoning approaches used by DeepSeek-R1 or OpenAI's o-series models. ### 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid LLMSurvey? You might not want to use LLMSurvey if you prefer tools that offer practical implementation details over a survey-style summary and organization of research papers. Consider other resources if your focus is on hands-on development rather than deep academic exploration, as LLMSurvey provides extensive academic coverage but fewer direct coding or implementation how ### Is jailbreakbench or LLMSurvey more popular on GitHub? LLMSurvey has more GitHub stars (12,187 vs 626). Stars measure visibility, not whether either tool fits your constraints. ### Are jailbreakbench and LLMSurvey open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to jailbreakbench or LLMSurvey? GraphCanon lists graph-backed alternatives at [jailbreakbench alternatives](/tools/jailbreakbench-jailbreakbench/alternatives) and [LLMSurvey alternatives](/tools/rucaibox-llmsurvey/alternatives) ([jailbreakbench markdown twin](/tools/jailbreakbench-jailbreakbench/alternatives.md), [LLMSurvey markdown twin](/tools/rucaibox-llmsurvey/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-rucaibox-llmsurvey.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jailbreakbench or LLMSurvey? jailbreakbench: Dormant. LLMSurvey: Dormant. 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 LLMSurvey? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jailbreakbench trust report](/tools/jailbreakbench-jailbreakbench/trust); [LLMSurvey trust report](/tools/rucaibox-llmsurvey/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/_