SEA-LION
Open-source LLM family for 11+ Southeast Asian languages
Overview
SEA-LION is AI Singapore's open-source LLM family for 11+ Southeast Asian languages, now in its v4.5 generation (2B-70B parameters, MIT-licensed, free on Hugging Face) with a 262K-context flagship and a dedicated safety model, SEA-Guard.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- All model weights free on Hugging Face
- Permissive license, no usage fee
- SEA-LION v4 incl. 32B released Mar 2026
- Rate-limited to 10 requests/min
- No per-token charge published
- Pay the provider's own compute rates
- Suits production-scale deployments
Use cases
What you can produce with SEA-LION
- A fine-tuned SEA-LION model adapted to your company's Indonesian or Thai product documentation
- A multilingual customer service bot replying natively in Thai, Vietnamese, or Filipino
- An OCR-plus-LLM pipeline extracting structured data from scanned Malay or Burmese government forms
- Sentiment analysis reports on social media content across 5+ SEA languages in a single pipeline
- A self-hosted, air-gapped LLM deployment on your own VPS meeting Indonesia PDP Law or Thailand PDPA data-residency requirements
- A regulatory-change detection system scanning multilingual ASEAN legal text and flagging relevant updates
- Benchmark evaluation results comparing your fine-tuned model against the official SEA-HELM leaderboard baselines
ASEAN Perspective
SEA-LION in Southeast Asia
SEA-LION is the only government-backed, purpose-built open LLM for the ASEAN region, developed in Singapore under a S$70 million National Multimodal LLM Programme and covering 11 official Southeast Asian languages. Its training data explicitly targets linguistic code-switching, regional colloquialisms, and cultural context that general-purpose Western LLMs systematically under-serve — a critical gap for Indonesian, Thai, Vietnamese, and Filipino enterprise and public-sector deployments. From a data-residency standpoint, self-hosted weights can be run entirely within-country (Indonesia, Thailand, Singapore, Malaysia) with no cross-border data transfer, making SEA-LION attractive under PDPA, Thailand PDPA, and Indonesia's PDP Law. Enterprise adoption by the GoTo Group ecosystem (Indonesia), NCS (Singapore), and IBM's ASEAN watsonx practice confirms real-world traction beyond government-funded pilots.
SEA-LION is the most credible open-weight LLM built specifically for Southeast Asia -- nothing else in the open-source space covers this many regional languages this well. Backed by Singapore's National Research Foundation with a S$70 million mandate, the project has shipped six generations since December 2023, from a 7B debut to a 70B model and a 262K-context multimodal 27B, with every checkpoint free on Hugging Face under an MIT license.
The gaps: the free hosted API caps out at 10 requests per minute with no paid tier to unlock more, so production use means self-hosting or routing through AWS Bedrock, Alibaba Cloud or watsonx at your own compute cost. Several model variants explicitly disclaim safety alignment (pair them with SEA-Guard), and lower-resource languages like Khmer and Lao still trail what the headline language count implies.
What people say
No G2 listing, no Capterra page, no app-store rating -- SEA-LION isn't built for that audience. It targets developers and public-sector teams handling Southeast Asian languages, and the signal that matters lives on Hugging Face and GitHub instead: a steady release cadence (six model generations since December 2023, the latest in May 2026) and consistent praise from practitioners for genuine gains over vanilla Llama or Gemma base models on Bahasa Indonesia, Thai, Vietnamese, Tagalog and the rest of the family.
Downloads per model variant run in the hundreds to low thousands a month -- respectable for a specialist regional model, nowhere near mainstream-LLM scale, which tracks with its developer-first audience. Recurring criticism in community threads: production-deployment documentation is thin, lower-resource languages (Khmer, Lao) get noticeably less coverage than the "11+ languages" headline implies, and there's no polished consumer chat app to try it in -- you're starting from Hugging Face, Docker or vLLM.
What consistently earns it credit: the SEA-HELM benchmark suite the team built alongside the models has become close to a de facto standard for evaluating SEA-language LLMs, and integrations with AWS Bedrock, Alibaba Cloud and IBM watsonx suggest this has moved past research-project status into things people actually deploy. For any ASEAN organization with multilingual documents or support queues, it's consistently the open-weight starting point reviewers point to first.
Summary of public user & expert reviews, compiled by RECATOOLS.
Notable facts
- SEA-LION stands for Southeast Asian Languages In One Network — the acronym is a play on the Merlion, Singapore's iconic lion-fish national symbol.
- The v4.5 speculative decoder achieves up to 5× throughput by drafting tokens in parallel using a custom block-diffusion technique trained specifically on SEA text.
- SEA-LION's training corpus includes Javanese and Sundanese — two of Java's regional languages — making it one of very few LLMs to handle sub-national Indonesian linguistic diversity.
- The companion SEALD dataset project (co-led with Google Research and universities in Thailand and the Philippines) is building Southeast Asia's largest open multilingual text-and-speech corpus.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including SEA-LION's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with SEA-LION unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to SEA-LION directly →
Spotted something out of date? Suggest an update →
SEA-LION in the news
Cloud & Infra
The Cloud Market Just Crossed a Half-Trillion-Dollar Run Rate — and AI Is Why It's Still A...
Privacy & Data
ASEAN's DEFA: The Region's Bet to Harmonise Cross-Border Data Rules Heads Toward a 2026 Si...
Cloud & Infra
ASEAN's Data-Centre Boom Is Hitting a Wall of Power and Water — and Johor Is Already Turni...
More in LLMs & Chat
