Open Japanese LLM - Wiki Reading Char F1: leaderboard

The "Wiki Reading Char F1" subtask of Open Japanese LLM. A task from the Open Japanese LLM Leaderboard, evaluating models on Japanese-language knowledge, reasoning and understanding.

Metric: Score (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 418 models tracked.

Top models

#ModelScoreOverall rank
1llm-jp-3.1-13B-instruct494.25#835
2llm-jp-3.1-1.8B-instruct491.66#1273
3Llama-3.3-Swallow-70B-Instruct-v0.490.2#529
4Llama 3.1 70B87.2#592
5aya-expanse-32B87.05#692
6llm-jp-3-13B86.93#1219
7Llama 3 70B86.82#631
8Llama 3.1 70B Instruct86.16#561
9Llama-3.1-Tulu-3-70B85.97#482
10Llama 3.1 Nemotron 70B Instruct85.82#554
11Llama 3.3 70B Instruct85.01#534
12Llama 3 70B Instruct83.93#634
13qwen2.5-bakeneko-32B-instruct-v283.46#562
14Gemma 2 27B (IT)83.03#645
15Qwen 2.5 32B Instruct82.04#498

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=open-japanese-llm-wiki-reading-char-f1 · How It Works · Data refreshed daily, snapshot 2026-10-20.