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Mini toolsAI benchmarks
Browse benchmarks tracking how AI models perform on reasoning, coding, multimodal and knowledge tasks. Each benchmark has its own leaderboard with the latest results from frontier models.
Cross-benchmark model leaderboard
Compare how every tracked model ranks across the headline benchmarks in one matrix.
BFCL v3
Evaluates function/tool-calling correctness across single, parallel, multi-turn and irrelevance-detection scenarios.
GeneBench-Pro
A 129-problem benchmark testing whether AI agents can perform realistic, multi-stage scientific analyses in genomics, quantitative biology, and translational biomedicine. Each pr…
OSWorld
369 real desktop tasks across Ubuntu, Windows and macOS apps. Agents act through screenshots + mouse/keyboard.
Tau2-Bench Telecom
Multi-turn customer-service agent benchmark in a telecom domain: the model must take real tool actions while a simulated customer pushes back on incomplete or wrong answers.
Terminal-Bench 2.1
Terminal-Bench 2.1 evaluates AI agents on 89 hard, realistic tasks in command-line terminal environments inspired by real workflows, spanning domains such as compiling code, trai…
Terminal-Bench Hard
The hardest split of Terminal-Bench: agents must complete real CLI tasks (debugging, system admin, multi-step automation) inside a sandboxed terminal.
ViralBench
ViralBench evaluates AI models on their ability to autonomously generate viral TikTok content in the fitness space, running each model twice daily in an agentic loop with tools f…
