Open Japanese LLM v2 - JamC-QA: leaderboard
Metric: Exact Match (%). Source: huggingface.co. 20 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama-3.3-Swallow-70B-Instruct-v0.4 | 58.77 |
| 2 | Qwen 3.5 27B (Non-reasoning) | 54.83 |
| 3 | Qwen 3.6 27B (Non-reasoning) | 54.66 |
| 4 | llm-jp-4-32B-a3B (Thinking) | 53.66 |
| 5 | llm-jp-3.1-13B-instruct4 | 49.76 |
| 6 | GPT-OSS-120B | 49.37 |
| 7 | llm-jp-4-8B (Thinking) | 49.33 |
| 8 | gemma-4-26B-A4B-it (Thinking) | 48.03 |
| 9 | Gemma 3 27B (IT) | 47.94 |
| 10 | Qwen 3 32B (Non-reasoning) | 45.3 |
| 11 | Llama 3.3 70B Instruct | 44.87 |
| 12 | Qwen 3 8B (Thinking) | 32.01 |
| 13 | GPT-OSS-20B | 29.88 |
Interactive version: theaggregate.ai/benchmark?slug=open-japanese-llm-v2-jamc-qa · How It Works · Data refreshed daily, snapshot 2026-09-19.