Comparison
jailbreakbench vs llm
Verdict
Pick jailbreakbench when license: jailbreakbench is MIT, llm is Apache-2.0; pick llm when license: llm is Apache-2.0, jailbreakbench is MIT.
Markdown twin · jailbreakbench alternatives · llm alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | jailbreakbench | llm |
|---|---|---|
| Maintenance | Dormant (463d since push) As of today · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- jailbreakbench
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Language Models [NeurIPS 2024 Datasets and Benchmarks Track]
- llm
- Access large language models from the command-line
Stars
- jailbreakbench
- 626
- llm
- 12k
Forks
- jailbreakbench
- 74
- llm
- 920
Open issues
- jailbreakbench
- 11
- llm
- 645
Language
- jailbreakbench
- Python
- llm
- Python
Adopt for
- jailbreakbench
- -
- llm
- Decision-critical facts for 'llm'
Persona
- jailbreakbench
- -
- llm
- -
Runtime
- jailbreakbench
- -
- llm
- -
License
- jailbreakbench
- MIT
- llm
- Apache-2.0
Last pushed
- jailbreakbench
- Apr 4, 2025
- llm
- Jul 9, 2026
Categories
- jailbreakbench
- LLM Frameworks, Evaluation & Observability, Inference & Serving
- llm
- LLM Frameworks, Inference & Serving
Trust and health
Maintenance
- jailbreakbench
- Dormant (18%)
- llm
- Very active (96%)
Days since push
- jailbreakbench
- 463d
- llm
- 1d
Open issues (now)
- jailbreakbench
- 11
- llm
- 645
Owner type
- jailbreakbench
- Organization
- llm
- User
Full report
- jailbreakbench
- Trust report
- llm
- Trust report
Shared compatibility
- Python · jailbreakbench: Python runtime · llm: Python runtime
Choose jailbreakbench if…
- License: jailbreakbench is MIT, llm is Apache-2.0.
- Tags unique to jailbreakbench: python.
- Also covers Evaluation & Observability.
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.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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: llms, ai, openai.
- - 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (JailbreakBench/jailbreakbench) · observed Jul 11, 2026
- GitHub forks (JailbreakBench/jailbreakbench) · observed Jul 11, 2026
- Last push (JailbreakBench/jailbreakbench) · observed Apr 4, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (simonw/llm) · observed Jul 11, 2026
- GitHub forks (simonw/llm) · observed Jul 11, 2026
- Last push (simonw/llm) · observed Jul 9, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: jailbreakbench 626 · llm 12k (synced Jul 11, 2026).
Common questions
- What is the difference between jailbreakbench and llm?
- jailbreakbench: JailbreakBench: An Open Robustness Benchmark for Jailbreaking Language Models [NeurIPS 2024 Datasets and Benchmarks Track]. 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: python; Also covers Evaluation & Observability.
- 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, anduv.; - Requires an OpenAI API key for certain functionalities.; Tags unique to llm: llms, ai, openai; - 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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 and llm alternatives (jailbreakbench markdown twin, llm markdown twin), 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 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; llm trust report.