Join the Kaggle Benchmarking Challenge: $2,500 in Prizes for FIVE Winners!
We're excited to team up with Kaggle for a brand new challenge! Running through October 11 , the Kaggle Benchmarking Challenge asks you to build a benchmark, run it against real models, and tell us what you found. Today's models reason, write code, use tools, and hold multi-turn conversations, and their capabilities will likely change by tomorrow. Public leaderboards only tell you so much, so why…
The Kaggle Benchmarking Challenge invites participants to create their own evaluations and run them across a range of AI models, with the chance to win a $2,500 prize pool across five winners. The challenge encourages testers to build benchmarks that probe specific capabilities or behaviors, such as multi-step reasoning, code generation, tool use, image recognition, or unique failure modes. The goal is to uncover insights that public leaderboards often miss, by measuring how models perform in real-world scenarios.
To participate, users must submit a benchmark on Kaggle, detailing the task they ran, which models they tested, and what insights they gleaned. Submissions should go beyond merely reporting numbers, explaining what the results imply and how they've altered the participant's understanding of the models. The best benchmarks emerge from addressing a particular curiosity rather than attempting a broad, generic test.
Judging criteria include the insights shared, the clarity of writing, and the creativity of the benchmark itself. Participants can create tasks directly from their local development environment using the Kaggle CLI. Resources like the Kaggle Benchmarks Python library on GitHub and an introduction to community benchmarks on Kaggle are available to guide participants through the process.
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