HELM SeaHELM - IndicSentiment: leaderboard
HELM SeaHELM Southeast-Asian-languages evaluation: Indic-language sentiment classification.
Metric: Macro F1 score. Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 21 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.0 Flash | 98.59 | #342 |
| 2 | Llama 3.1 405B Instruct | 98.3 | #457 |
| 3 | Gemini 2.0 Flash Lite | 98.24 | #450 |
| 4 | Llama 3.3 70B Instruct | 98.2 | #534 |
| 5 | Llama 4 Scout Instruct | 98.05 | #539 |
| 6 | Llama 3.2 90B Vision Instruct | 98 | #622 |
| 7 | GPT-4o Mini (2024-07-18) | 97.8 | #558 |
| 8 | Claude 3.7 Sonnet (20250219) | 97.75 | #201 |
| 9 | Llama 3.1 70B Instruct | 97.7 | #561 |
| 10 | DeepSeek V3 | 97.5 | #321 |
| 11 | GPT-4o (2024-11-20) | 97.3 | #381 |
| 12 | Llama 3.1 8B CPT SEA LIONv3 Instruct | 96.75 | #810 |
| 13 | Qwen 2.5 72B Instruct | 93.89 | #454 |
| 14 | Claude 3.5 Haiku (20241022) | 93.48 | #588 |
| 15 | Qwen 2 72B Instruct | 75.29 | #576 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=helm-seahelm-indicsentiment · How It Works · Data refreshed daily, snapshot 2026-10-20.