SciEval (K-12) - Evidence Match Rate: leaderboard

Metric: Evidence match rate (%): share of predicted evidence sentences whose best sentence-embedding cosine similarity to an expert evidence sentence exceeds 0.65, on the held-out test set of SciEval, a K-12 science instructional-material evaluation benchmark: given an NGSS lesson as page-marked PDF text and one EQuIP rubric criterion, the model returns a 0-3 score and the supporting evidence as JSON, simplified prompt, temperature 0; failed predictions are left out; higher is better. Source: arxiv.org. Saturation forecast: Around 2034. 6 models tracked.

Top models

#ModelScore
1Qwen 3 4B 2507 Instruct36.04
2Gemini 2.0 Flash18.27
3Llama 3.1 8B Instruct17.25
4Llama 3.2 3B Instruct14.97
5GPT-4o Mini8.63

Interactive version: theaggregate.ai/benchmark?slug=scieval-k-12-evidence-match-rate · How It Works · Data refreshed daily, snapshot 2026-10-07.