Ebisu - JF-ICR: leaderboard
Metric: Accuracy (%). Source: arxiv.org. 22 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 4 Scout | 60.64 |
| 2 | Llama-3.3-Swallow-70B-Instruct-v0.4 | 59.57 |
| 3 | Llama 3.3 70B Instruct | 56.38 |
| 4 | GPT-5 | 55.32 |
| 5 | Claude Sonnet 4.5 | 52.13 |
| 6 | DeepSeek V3.1 | 51.06 |
| 7 | Kimi K2 | 45.74 |
| 8 | Qwen 3 235B A22B 2507 Instruct | 45.74 |
| 9 | Gemini 3 Flash | 39.36 |
| 10 | Qwen 2.5 32B Instruct | 38.3 |
| 11 | Ministral-3-14B-Instruct-2512 | 37.23 |
| 12 | Qwen 3 32B | 19.15 |
| 13 | Qwen 3 14B | 18.09 |
| 14 | Qwen 3 8B | 12.77 |
| 15 | Qwen-14B | 6.38 |
Interactive version: theaggregate.ai/benchmark?slug=ebisu-jf-icr · How It Works · Data refreshed daily, snapshot 2026-09-19.