SEA-LION family is a Regional open LLM from AI Singapore SEA-LION (Singapore).
One-line fit: best used for Malay, Thai, Indonesian, etc..
Key specifications
| Provider | AI Singapore SEA-LION |
|---|---|
| Model | SEA-LION family |
| Type | Regional open LLM |
| Context window | Varies |
| Pricing (indicative) | Open |
| Company category | National program |
| Region | Singapore |
| Official site | https://aisingapore.org |
Benchmarks and public standing
SEA language suites
Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.
What this model is good at
Malay, Thai, Indonesian, etc.
This aligns with AI Singapore SEA-LION’s broader strengths:
- SE Asian languages
- Open national models
- Regional NLP
Limitations and watch-outs
Not global coding frontier
- Rate limits, regional availability, and data retention policies vary by plan.
- Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
- Open-weight availability (if any) is separate from hosted API quality and safety filters.
Ideal users
- Product engineers shipping features that match: Malay, Thai, Indonesian, etc.
- Teams standardizing on the AI Singapore SEA-LION ecosystem
- Agent builders who need a Regional open LLM
When to pick something else
- Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
- Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
- Giant multimodal corpora / Workspace: compare Gemini-class models.
- Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.
Parent company
AI Singapore SEA-LION – National AI program releasing SEA-LION models for Southeast Asian languages.
Related models from AI Singapore SEA-LION
Data is curated for AIForumSphere model directory mid-2026 directional figures.
