SABER-Math - Calculus and Analysis: leaderboard

Metric: nDCG@10 (0-100) with exponential gain, printed 0 to 1 and scaled by 100: each competition or olympiad problem query reranks its own pool of 150 candidate problems, graded 0 to 5 by Bradley-Terry fits of GPT-OSS-120B pairwise relevance judgments over a 20-round Swiss tournament; every system at its default configuration and task instruction, statement-full setting (the query is a problem statement, each document a problem with its solution), the queries of the calculus and analysis domain; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 43 models tracked.

Top models

#ModelScore
1Qwen3-Embedding-8B59.8
2Qwen3-Embedding-0.6B54.6

Interactive version: theaggregate.ai/benchmark?slug=saber-math-calculus-and-analysis · How It Works · Data refreshed daily, snapshot 2026-09-29.