The most comprehensive evaluation benchmark for assessing generative AI performance across real-world safety and risk use cases. Know what model performs best for your work tasks.
Top performing models from SAFE-Bench evaluations across all safety categories and use cases.
Top performing models for risk analysis tasks including hazard identification and incident investigation.
Top performing models for analyzing workplace ergonomics, biomechanical risk assessment, and intervention recommendations.
Safety & Risk professionals need clarity about how well AI performs on real-world tasks. SAFE-Bench's mission is to clearly show how well AI performs on these tasks.
Test models across actual safety and risk tasks: Hazard Identification, Incident Investigation, Policy Review, Ergonomics, RAMS, Generative Materials, and Safety Intelligence.
See exactly how GPT, Claude, Gemini, Grok, and other models perform on your specific safety use cases. Make informed decisions based on actual performance data.
Unlike generic AI benchmarks, SAFE-Bench tests models on tasks that safety and risk professionals actually perform every day in their work.
| Model | Avg Results (%) |
|---|---|
 | 95.64 |
 | 87.50 |
| 87.14 |
| 86.83 |
 | 86.36 |
| 82.20 |
| 80.58 |
 | 77.07 |
Submit your AI model for comprehensive evaluation across our seven safety and risk benchmarks. Get detailed performance insights and join the leaderboard.
Submit Your Model for Testing