The Public Standard for
Real World AI Performance

A single measure of AI's potential economic impact — agentic model performance across finance, coding, and legal tasks, weighted by each sector's share of U.S. GDP.

Can a model do the research that builds the next model? Autonomous LLM R&D scored against selected published, human, and frontier-model references.

Comparing native provider search against independent web-search tools on legal-research and finance-analysis tasks

Evaluating agents on legal research tasks across diverse areas of US law

Tests an agent's ability to complete legal work using documents, spreadsheets, presentations, and file-system tools.

Evaluating language models on a wide range of open source legal reasoning tasks.

Evaluating agents on core financial analyst tasks

Evaluating agents on Excel-based financial modeling tasks

Evaluating agents on research-grade US corporate tax questions

Can models support the medical billing process?

Can models support doctors with their administrative work?

Can models write math proofs that are formally verified?

Research workflow tasks contributed by practicing scientists across five domains

Can agents solve agentic biology data investigations?

Student Assessment with Generative Evaluation

How good are speech-to-text models at handling exact structured values in English workplace speech?

Can models build web applications from scratch?

Can language models reimplement working programs in another language?

Can language models rebuild programs from scratch?

State-of-the-art set of difficult terminal-based tasks

How important are skills for agents?

International Olympiad in Informatics

Can AI agents find security bugs and patch them?

Can AI agents work out what a real-world binary does without its source code?

Can an AI agent build and run a space program in Kerbal Space Program?

Which model can make the most money playing poker?

Can AI help people navigate SNAP benefits?