3 models across 1 family · Latest: SEA-LION V4 27B Instruct (2025-08)
National AI initiative for Singapore
AI Singapore's portfolio covers 3 active models across 1 non-obsolete family, with task labels spanning rag, agents, and long context. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 5 decision-task tags, 3 active tracked models, latest research stamp 2026-06-03.
Use this portfolio page for
- Teams evaluating rag, agents, and long context across this lab's releases
- Readers comparing families before locking a flagship SKU
- 3 tracked SKUs for migration and pricing follow-ups
Do not stop here for
- Choosing a hosting provider without opening a model page for price ladders
Active models
3
Non-deprecated SKUs linked to this researcher
Active families
1
Non-obsolete families in coverage
Open catalog
1 OSS
0 open-weight (text match)
Decision task tags
5
Mapped to the site-wide task taxonomy
Latest dated release
2025-08-25
SEA-LION V4 27B Instruct
Freshness
2026-06-03
Researched 1d ago
Release cadence
Showing 3 recent dated ships (full timeline below). Latest spotlight: SEA-LION V4 27B Instruct (2025-08-25).
Where this lab wins
- RAG: 1 tracked model with ruler / needle retrieval benchmarks.
- Agentic: 1 tracked model with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 1 tracked model with context-token or InfiniteBench-class signal.
- Vision: 1 tracked model with multimodal benchmark coverage.
Flagship quality / price signal
Anchor SKU: SEA-LION 7B (best sourced coding Q/$ in this portfolio).
Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).
AI Singapore is a Singaporean AI research organization founded in 2017. National AI initiative for Singapore. AI Singapore ships 1 model family totaling 3 models, with the most recent release SEA-LION V4 27B Instruct in 2025-08. Notable families include SEA-LION. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators. View official API endpoints, benchmark performance, and coding/agent fit for every AI Singapore model.
About
AI Singapore (AISG) was established in 2017 as a national program aimed at enhancing Singapore's artificial intelligence capabilities to invigorate its digital economy. Its mission revolves around cultivating deep national AI expertise to generate substantial social and economic benefits. This involves nurturing local talent, building a strong AI ecosystem, and positioning Singapore as a global leader in AI. A pivotal element of AISG's efforts focuses on groundbreaking AI research. This encompasses exploring fundamental AI techniques and algorithms, facilitating national research collaborations, and developing local AI talent. Furthermore, AISG tackles vital questions related to AI technology gaps, societal and economic impacts of AI advancements, and ensuring safe, secure, and ethical AI usage aligned with societal and legal norms. AISG's commitment extends to AI governance, where it actively supports research to mitigate AI risks, including promoting fairness, accountability, transparency, ethics, and safety. This includes examining fairness in AI benefit distribution and ensuring transparency and explainability of AI systems, alongside implementing safety measures and accountability frameworks. In terms of technological innovation, AISG leverages AI to address Singapore's challenges, aiming for notable economic and social impacts. Initiatives vary from grand challenges to prize-based challenges, all designed to spur innovation while addressing national needs. Collaboration with industries to develop AI products and solutions is a key strategy, highlighted by programs like the 100 Experiments (100E) initiative and the AI Apprenticeship Programme (AIAP). AISG's distinctive contributions to generative AI and large language models (LLMs) are particularly significant. The SEA-LION project, a collection of LLMs tailored for Southeast Asian languages and cultures, exemplifies this. This initiative addresses gaps in the global LLM landscape, fostering inclusivity and broader representation. Collaborations with companies like Sony Research and Google enhance SEA-LION's development and dataset improvements, showcasing AISG's commitment to advancing AI in culturally diverse contexts. Furthermore, partnerships with AWS make generative AI models readily accessible to small and medium enterprises (SMEs). Overall, AI Singapore is integral to shaping Singapore's AI ecosystem through fundamental and applied research, promoting responsible AI development, and fostering innovation in generative AI and LLMs. Its emphasis on inclusivity, collaboration, and open-source initiatives cements its status as a vital player in the global AI arena.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| SEA-LION V4 27B Instruct | 2025-08-25 | 128k | - | - | Gemma |
| SEA-LION 7B | 2024-09-01 | 4k | - | - | Unknown |
| SEA-LION 3B | 2024-09-01 | 2k | - | - | Unknown |
Model families
Recent releases
- SEA-LION V4 27B Instruct- 2025-08-25
- SEA-LION 7B- 2024-09-01
- SEA-LION 3B- 2024-09-01
FAQ
Who founded AI Singapore and when?
AI Singapore was founded in 2017 and is associated with Singapore.
What models has AI Singapore released?
AI Singapore ships 3 models across 1 family: SEA-LION.
Is AI Singapore's technology open source?
Some tracked AI Singapore models are open-weight, including SEA-LION V4 27B Instruct.
Where is AI Singapore headquartered?
AI Singapore is headquartered in Singapore.
What is AI Singapore known for?
National AI initiative for Singapore. Its most prominent tracked family is SEA-LION.
How can I access AI Singapore's models?
AI Singapore's models are available via Cloudflare Workers AI and NVIDIA NIM.
Explore related pages
Last reviewed: 2026-06-03. Data sourced from public lab announcements and provider documentation.