AI Agents
Models optimised for autonomous agent workflows.
Leading right now
Anthropic: Claude Fable 5
93.3
Score
Models optimised for autonomous agent workflows.
How we rank AI models
The Design for Online AI Model Leaderboard scores 592 models on a single 0ā100 scale built from four weighted dimensions: intelligence (reasoning and knowledge benchmarks), technical capability (coding and tool use), content quality (writing and instruction-following) and value (capability per dollar).
Underlying data is aggregated from the OpenRouter API for pricing and availability, Artificial Analysis for intelligence, coding and agentic indices, and the Hugging Face Open LLM Leaderboard for open-model benchmarks. We refresh these sources daily and layer our own editorial review on top, so a model that benchmarks well but is impractical to deploy will not automatically top the table.
Models are grouped into tiers (Frontier, Professional, Specialist, Efficient, Emerging and Legacy) to make like-for-like comparison easier, and newly released models are flagged so you can see what has just landed.
Leaderboard FAQ
How often is the leaderboard updated?
Pricing, availability and benchmark data are synced daily from our sources, and editorial scores are reviewed whenever a significant new model is released.
How is the overall score calculated?
Each model is graded 0ā10 on intelligence, technical capability, content quality and value; those dimensions are weighted and combined into the 0ā100 overall score used to rank the table.
Where does the data come from?
From the OpenRouter API, Artificial Analysis and the Hugging Face Open LLM Leaderboard, combined with hands-on editorial testing by the Design for Online team.
