SABER-Math - Statement-Statement: leaderboard

Metric: Overall 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, all 1000 queries, statement-statement setting (queries and documents are problem statements only, no solutions); higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 43 models tracked.

Top models

#ModelScore
1Qwen3-Embedding-8B60
2Qwen3-Embedding-0.6B56.6

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