llm-jp-3.1-1.8B: benchmark results

LLM-jp 3.1 pretrained release developed by NII's LLM-jp project, using Llama architecture and a 4,096-token context window. Provider: National Institute of Informatics. Access: Open.

Aggregate Rating 1434 ± 40, rank #4505 of 10916 rated models, from 50 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Open Japanese LLM - Wiki Dependency SET F151.53Score (%)95.9
Open Japanese LLM - FA29.97Score (%)89.2
Open Japanese LLM - Wiki PAS SET F18.51Score (%)82.2
Open Japanese LLM - AIO Char F162.05Score (%)76.9
Open Japanese LLM - Wiki NER SET F19.73Score (%)76.1
Open Japanese LLM - Wiki Reading Char F178.69Score (%)64.9
Open Japanese LLM - Jsick Exact Match81.14Score (%)64.8
Open Japanese LLM - Wikicorpus J TO E Bleu EN10.88Score (%)56.5
Open Japanese LLM - ALT E TO J Bert Score JA F185.75Score (%)50.2
Open Japanese LLM - QA52.53Score (%)50
Open Japanese LLM - Jsem Exact Match76.64Score (%)48.4
Open Japanese LLM - Wikicorpus J TO E Bert Score EN F190.1Score (%)48.4

Interactive version: theaggregate.ai/model?slug=llm-jp-3-1-1-8b · How It Works · Data refreshed daily, snapshot 2026-11-08.