galactica-30B: benchmark results

Meta AI Papers with Code Galactica 30B is a scientific decoder-only language model trained on a 106B-token scientific corpus, including papers, textbooks and structured scientific data. This is the original base release under CC BY-NC 4.0, separate from OPT and instruction-tuned variants. Provider: Other. Access: Open.

Aggregate Rating 1273 ± 19, rank #9031 of 10916 rated models, from 68 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MMLU-by-task - Electrical Engineering56.55Accuracy (%)91.6
MMLU-by-task - Anatomy54.81Accuracy (%)90.7
MMLU-by-task - High School Physics37.75Accuracy (%)89.6
MMLU-by-task - College Physics34.31Accuracy (%)86.4
MMLU-by-task - High School Chemistry44.83Accuracy (%)84.1
MMLU-by-task - Econometrics34.21Accuracy (%)82.6
MMLU-by-task - Conceptual Physics47.23Accuracy (%)82.2
MMLU-by-task - College Mathematics36Accuracy (%)80.2
MMLU-by-task - College Medicine50.29Accuracy (%)73
MMLU-by-task - College Biology58.33Accuracy (%)72.8
MMLU-by-task - Medical Genetics58Accuracy (%)71.9
MMLU-by-task - College Computer Science45Accuracy (%)71.3

Interactive version: theaggregate.ai/model?slug=galactica-30b · How It Works · Data refreshed daily, snapshot 2026-11-08.