Catalysing AI Innovation for
Southeast Asia
SEA-LION is a family of efficient, open-source, multilingual, multimodal language models designed to understand Southeast Asia’s diverse languages, cultures, and contexts.

Latest Announcements
Model Catalogue
Explore our family of models and see our latest release.
Aquarium Data Platform
Join our community-driven open data platform for Southeast Asia. Contribute and explore datasets powering future models.
SEA-HELM Leaderboard
Track model performance and gain insights with SEA-HELM, assessing large language models across Southeast Asian languages, chat, instruction-following, regional tasks, and English capabilities.
Capabilities
Powering linguistic and cultural understanding across Southeast Asia
SEA-LION is designed to capture the intricate linguistic and cultural nuance of under-represented population groups and low resource languages across Southeast Asian communities.
Open & Collaborative
- Fully open-source and community-driven
- Framework-agnostic for research and commercial use
Regional Excellence
- Complements existing models and benefits from SOTA models & fine-tuned on SEA data
- Purpose-built to understand SEA cultures and contexts
Resource Efficient
- High performance even on low infrastructure
- Quantised models deployable on lightweight setups, like laptops
Multimodal
- Supports both image and text inputs (audio soon)
- Enables document comprehension, visual Q&A, and reasoning
Multilingual & Multicultural
- Performant in over 11 Southeast Asian languages
- Produces culturally aligned and context-aware outputs
Safe & Secure
- Safety-tuned for SEA contexts
- Aligned with human-curated data for reliable results
SEA-LION’s Guiding Principles
Choice
Users have the freedom to choose how to interact:
- Closed vs Open
- Build vs Buy
- East vs West
- Model
- Independence
Open
Users have visibility on how it is being built:
- Data
- Models
- Evaluations
- Code Checkpoints
Responsible
Users understand the ethical reasoning behind how our models are:
- Built
- Aligned
- Deployed
Inclusive
Users have a model that is relevant for their demographics:
- Representative
- Aligned
- Collaborative
