The Holistic AI LLM Decision Hub
Helping senior leaders make confident, well-informed decisions about their LLM environment.
Choosing the Right LLM Is a High-Stakes Decision
Selecting a large language model for your organization is more than just a technical choice, it's a strategic one. The model you choose will shape your AI capabilities, security posture, cost structure, and user experience. And once integrated, it's not easily or cheaply replaced. That's why this decision demands rigor, foresight, and the right data.
Compare LLMs with Confidence
Holistic AI provides trusted, independent rankings of large language models across performance, red teaming, jailbreaking safety, and real-world usability. Our insights are grounded in rigorous internal red teaming and jailbreaking tests, alongside publicly available benchmarks. This enables CIOs, CTOs, developers, researchers, and organizations to choose the right model faster and with greater confidence.
With this tool, you can:
- Compare models on safety, cost, and performance
- Identify the best LLMs for your specific use cases
- Validate whether your current model is the right fit
- Discover the safest and most secure options
- Calculate estimated costs for each model
LLM Evaluation Toolkit
A practical toolkit for comparing models, costs, and capabilities.
Comprehensive Model Directory
Browse leading LLMs from OpenAI, Anthropic, Google, Meta, and more.
Detailed Model Pages
Access specs like developer, release date, license, and architecture.
Performance Benchmarks
Compare models on logic, math, and coding using standardized tests.
Safety & Red Teaming Insights
View jailbreaking resistance, safety scores, and response risk levels.
Pricing Calculator
Estimate token costs and compare pricing across models.
Provider Comparison
See which providers offer each model and how they stack up.
Interactive Tools
Leverage comparison charts, recommendation engines, and cost optimizers.
Business Decision Guide
Get tailored recommendations based on your business goals.
Real-World Use Cases
Explore model applications across industries and tasks.
Data Source
Comparative insights are based on a combination of rigorous red teaming and jailbreaking testing performed by Holistic AI, as well as publicly available benchmark data. External benchmarks include CodeLMArena, MathLiveBench, CodeLiveBench, and GPQA. These were sourced from official model provider websites, public leaderboards, benchmark sites, and other accessible resources to ensure transparency, accuracy, and reliability.