Open Japanese LLM - Wikicorpus J TO E Comet Wmt22: leaderboard

The "Wikicorpus J TO E Comet Wmt22" 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-instruct479.02#835
2Llama-3.1-Tulu-3-70B77.96#482
3llm-jp-3.1-1.8B-instruct477.56#1273
4Llama-3.3-Swallow-70B-Instruct-v0.477.15#529
5Llama 3 70B Instruct76.85#634
6Gemma 2 27B (IT)76.81#645
7Llama 3.1 70B76.7#592
8qwen2.5-bakeneko-32B-instruct-v276.47#562
9DeepSeek R1 Distill Llama 70B76.42#594
10Qwentile2.5-32B-Instruct76.31#339
11aya-expanse-32B76.21#692
12EZO-Qwen2.5-32B-Instruct76.16#471
13QwQ 32B-Preview76.12#651
14tempmotacilla-cinerea-030876.1#395
15Awqward2.5-32B-Instruct75.99#371

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-wikicorpus-j-to-e-comet-wmt22 · How It Works · Data refreshed daily, snapshot 2026-10-20.