URIAL-Bench - Extraction: leaderboard
The "Extraction" subtask of URIAL-Bench. A task from URIAL-Bench, which evaluates base (untuned) language models aligned purely through in-context prompting (Untuned LLMs with Restyled In-context ALignment), measuring instruction-following and helpfulness without fine-tuning.
Metric: Judge Score (0-10). Source: huggingface.co. Saturation forecast: Estimated already saturated. 19 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-4 | 9.38 | #438 |
| 2 | GPT-3.5 Turbo | 8.85 | #865 |
| 3 | Mistral-7B-v0.1 | 7.75 | #1326 |
| 4 | Llama 2 70B Base | 7.7 | #1025 |
| 5 | DBRX | 7.65 | #1045 |
| 6 | Mixtral 8x7B (v0.1) | 7.05 | #1083 |
| 7 | Yi 34B (Base) | 6.8 | #972 |
| 8 | gemma-7B | 6.25 | #1384 |
| 9 | Llama 2 13B Base | 4.7 | #1445 |
| 10 | Phi-2 | 4.45 | #1511 |
| 11 | Llama 2 7B Base | 3.4 | #1518 |
| 12 | gemma-2B | 3.1 | #1575 |
| 13 | Yi 6B (Base) | 2.95 | #1472 |
| 14 | falcon-7B | 2.75 | #1598 |
| 15 | mpt-7B | 1.55 | #1619 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=urial-bench-extraction · How It Works · Data refreshed daily, snapshot 2026-10-20.