SEA-HELM (Burmese) - Summarization: leaderboard
Abstractive summarization of Burmese news articles. 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: Around 2032. 58 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Llama 3.3 70B Instruct | 28.45 | #541 |
| 2 | Llama 4 Scout Instruct | 25.71 | #547 |
| 3 | Gemma 4 26B A4B (IT) (Reasoning) | 25.55 | #293 (Gemma 4 26B A4B (IT)) |
| 4 | Qwen 3.5 27B (Reasoning) | 24.24 | #192 (Qwen 3.5 27B) |
| 5 | Qwen 3.5 122B A10B (Reasoning) | 23.56 | #184 (Qwen 3.5 122B A10B) |
| 6 | Qwen 3.5 4B (Reasoning) | 23.46 | #514 (Qwen 3.5 4B) |
| 7 | Llama-SEA-LION-v3-70B-IT | 23.28 | #407 |
| 8 | Qwen 3.6 27B (Reasoning) | 22.87 | #182 (Qwen 3.6 27B) |
| 9 | Qwen 3 32B (Thinking) | 22.84 | #449 (Qwen 3 32B) |
| 10 | Qwen 3.5 9B (Reasoning) | 22.35 | #391 (Qwen 3.5 9B) |
| 11 | Llama 3.1 8B Instruct | 21.97 | #1017 |
| 12 | Qwen 3.6 35B A3B (Reasoning) | 21.66 | #238 (Qwen 3.6 35B A3B) |
| 13 | Qwen 3 14B (Reasoning) | 21.28 | #542 (Qwen 3 14B) |
| 14 | Gemma 3 4B (IT) | 20.29 | #997 |
| 15 | Qwen 3.5 35B A3B (Reasoning) | 19.29 | #268 (Qwen 3.5 35B A3B) |
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-burmese-summarization · How It Works · Data refreshed daily, snapshot 2026-11-05.