SEA-HELM (Indonesian) - SEA-Safeguard: leaderboard
SEA-Safeguard: the safety evaluation group within SEA-HELM's safety competency for Indonesian. Normalized 0-100 score from AI Singapore's SEA-HELM leaderboard: (score - random baseline) / (maximum - baseline), floored at 0 and averaged over eight runs; higher is better.
Metric: Normalized Score. Source: leaderboard.sea-lion.ai. Saturation forecast: Estimated already saturated. 58 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemma 3 12B (IT) | 76.03 | #672 |
| 2 | Gemma 3 27B (IT) | 75.94 | #528 |
| 3 | Llama-SEA-LION-v3-70B-IT | 74.9 | #407 |
| 4 | Llama-SEA-LION-v3-8B-IT | 73.74 | #800 |
| 5 | Qwen 3.5 35B A3B (Reasoning) | 73.07 | #268 (Qwen 3.5 35B A3B) |
| 6 | Llama 3.1 8B Instruct | 72.87 | #1017 |
| 7 | Qwen 3.5 27B (Reasoning) | 71.94 | #192 (Qwen 3.5 27B) |
| 8 | GPT-OSS-120B (Reasoning) | 71.19 | #346 (GPT-OSS-120B) |
| 9 | Qwen 3 VL 8B Instruct | 71.1 | #419 |
| 10 | Qwen 3.5 4B (Reasoning) | 71.02 | #514 (Qwen 3.5 4B) |
| 11 | Qwen 3.5 9B (Reasoning) | 70.87 | #391 (Qwen 3.5 9B) |
| 12 | Gemma 4 26B A4B (IT) (Reasoning) | 70.72 | #293 (Gemma 4 26B A4B (IT)) |
| 13 | Qwen 3.6 35B A3B (Reasoning) | 69.86 | #238 (Qwen 3.6 35B A3B) |
| 14 | Qwen 3 VL 32B Instruct | 69.82 | #290 |
| 15 | Qwen 3 VL 4B Instruct | 69.66 | #510 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=sea-helm-indonesian-sea-safeguard · How It Works · Data refreshed daily, snapshot 2026-11-05.