Matharena Domain Overview🔒 SSL Verified

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• ↓ Model analysis across MathArena
• ↓ Top Alternatives to matharena.ai

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"🎉 New (July 21): We added Kimi K3 and Muse Spark 1.1 to the leaderboard!"

"🎉 New (July 16): We released the latest versions of ArXivMath and BrokenArXiv!"

"Expected performance summarizes model strength across non-deprecated competitions, not just the selected benchmark above."

"Expected performance is the mean predicted correctness across all questions from non-deprecated competitions under a two-parameter item-response theory model: for model ability $\theta_m$ and question difficulty $\beta_q$ with discrimination $\alpha_q$, we use $p_{m,q}=\sigma(\alpha_q(\theta_m-\beta_q))$ and report $\frac{1}{Q}\sum_q p_{m,q}$. Parameters are fitted on existing data, and the expected performance is a single number summarizing the overall performance of a model across all competitions and questions. A model needs to have at least 42 answered questions to be included in the expected performance plots. Confidence intervals simulate outcomes from the fitted IRT model, refit the full IRT model on each simulated dataset, then evaluate each refit on the fixed non-deprecated question set. Overall, this model is very similar to the Epoch Capability Index. The sole difference is that we fit the parameters $\alpha_q$ and $\beta_q$ for each question, rather than for each benchmark."

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Model analysis across MathArena