SEA-LION
Open-source family of LLMs trained for Southeast Asian languages
SEA-LION is an open-source LLM family platform best for ASEAN-language chatbots, agents, and document understanding where regional language coverage matters more than raw capability. Its SEA edge is the only major LLM family designed from the ground up for 11+ SEA languages including Burmese, Khmer, Lao, and Tamil — languages GPT-4 and Claude routinely under-serve. The caveat: as research-led open source from AI Singapore, production ops and commercial support are looser than buying enterprise GPT-4, so teams need their own MLOps to ship reliably.
- ✓Free, open weights on Hugging Face — no per-token cost when self-hosted
- ✓11+ SEA language coverage including low-resource Burmese, Khmer, Lao, Tamil
- ✓Multimodal v4 adds image + text input with 256K native context
- ✓SEA-Guard safety models tuned for regional norms — rare in Western LLMs
- ✓Available via Vertex AI, Bedrock, and OpenAI-compatible API for easy adoption
- ×Production tooling and commercial support thinner than OpenAI or Anthropic
- ×Raw English-language reasoning still trails GPT-4 and Claude on hard benchmarks
- ×Self-hosting requires MLOps capability beyond what most SEA SMEs have in-house
- ×Reviews count of 42 reflects an early-stage adoption curve
About SEA-LION
SEA-LION (Southeast Asian Languages In One Network) is an open-source LLM family built by AI Singapore under the National Multimodal LLM Programme. Trained on regional data spanning Bahasa Indonesia, Thai, Vietnamese, Tagalog, Malay, Burmese, Khmer, Lao, and more. Released free under permissive licenses, with SEA-LION v4 adding multimodal (image + text) support and 256K context.
Key Features
Best For
Southeast Asia Fit
Built and released by AI Singapore, the only major LLM family designed from the ground up for ASEAN languages and cultural context. Open source means SEA companies can self-host on local infrastructure, which matters for data residency rules in Indonesia, Vietnam, and Thailand.
- Global
- SEA
Integrations
- Messaging
- Telegram
- Other
- SEA-LION API
- Google Vertex AI
- Amazon Bedrock
- OpenAI-compatible API
- AWS SageMaker AI
- vLLM
- Cloudflare Workers AI
- SEA-LION Playground
- GGUF
This profile was researched and written with AI from SEA-LION's public pages, and AI assistants quote pages on this site. Something wrong or out of date? Email info@software-listing.com with this page and a public source. Corrections are free, for every listing.
How listings and corrections work →Related Analysis & Guides
The questions operators actually ask.
Is SEA-LION free?
Yes. Open weights are available under MIT-leaning licenses. Hosted access through Vertex AI, Bedrock, or Cloudflare Workers AI is priced per their respective infrastructure rates.
Does SEA-LION support Burmese, Khmer, and Lao?
Yes. SEA-LION is one of the very few LLM families trained on Burmese, Khmer, and Lao alongside the better-served ID/TH/VI/MS/TL — making it the realistic pick for low-resource Mekong-region projects.
Is SEA-LION better than GPT-4 for Bahasa Indonesia?
It depends on the benchmark. For SEA-language understanding and cultural context, SEA-LION often competes well. For complex reasoning in English, GPT-4 still leads. Many SEA teams use both.
Can I deploy SEA-LION on my own infrastructure?
Yes. Open weights mean self-hosting via vLLM, SageMaker, or your own GPU box, which matters for data residency rules in Indonesia, Vietnam, and Thailand.