LLM API Providers for Southeast Asia With Low Latency
The short answer
Put the model in the same region as your users, then pick the smallest model that does the job. LLM deployment API providers for Southeast Asia, as of October 27, 2026:
- Amazon Bedrock — best overall: current Claude models listed for Singapore, Jakarta, Malaysia and Thailand.
- Google Vertex AI — Claude models in Singapore; Gemini’s newest models are served from the global endpoint.
- Azure AI Foundry — a Southeast Asia (Singapore) region for teams on Microsoft.
- Alibaba Cloud Model Studio — Qwen models from a Singapore region, the closest low-cost open-weight option.
This page is the regional spoke of our low latency inference providers guide, which ranks providers by tokens per second.
The comparison
Region names from each provider’s regional availability documentation on October 27, 2026.
| Provider | Southeast Asia regions | Current models there | Best for |
|---|---|---|---|
| Amazon Bedrock | Singapore (ap-southeast-1), Jakarta (ap-southeast-3), Malaysia (ap-southeast-5), Thailand (ap-southeast-7) | Claude Haiku 5.5, Sonnet 5.5, Opus 5.5 (in-region, geo or global inference profiles) | Closed frontier models close to users in four countries |
| Google Vertex AI | Singapore (asia-southeast1) | Claude Sonnet 5.5, Opus 5.5, Haiku 5.5; Gemini 3.8 Flash and Gemini 4 Argon via the global endpoint | Teams on Google Cloud; mixed Claude + Gemini |
| Azure AI Foundry | Southeast Asia (Singapore) | Model availability varies by deployment type (standard, data zone, global) | Microsoft estates, Azure OpenAI |
| Alibaba Cloud Model Studio | Singapore (ap-southeast-1) | Qwen family, OpenAI- and Anthropic-compatible endpoints | Low-cost open-weight models, China + SEA footprint |
Check the specific deployment type for each model. Bedrock’s table distinguishes in-region from geo and global cross-region inference, and only in-region keeps the request in that country.
Prices for the models you will actually use
Model prices are the same list price in most regions; regional and data-residency processing sometimes costs more. As of October 27, 2026 (see our current API prices):
- Claude Haiku 5.5 — $0.10 / $0.50 per million input/output tokens for prompts up to 100K tokens; the fast, cheap default for chat and voice.
- Claude Sonnet 5.5 — $2 / $10; the workhorse for agents.
- Gemini 3.8 Flash — $0.75 / $3.75 introductory rate through December 31, 2026.
- GPT-6 Luna — $0.10 / $0.50 on the OpenAI API; regional processing adds 10% where OpenAI offers it.
- Qwen 3.8 Flash — $0.15 / $0.47 on Alibaba Cloud Model Studio international.
Picks by job
- A customer chatbot in Indonesia, Malaysia or Thailand: Claude Haiku 5.5 on Bedrock in that country’s region; fall back to Singapore.
- An agent that needs a frontier model: Claude Sonnet 5.5 or Opus 5.5 on Bedrock Singapore or Vertex asia-southeast1.
- Gemini-based apps: Vertex global endpoint; measure from your users’ networks, because routing is Google’s choice.
- Cost-sensitive, high-volume classification or extraction: Qwen on Model Studio Singapore, or a small open model self-hosted in a local region.
- Data must not leave one country: Bedrock in-region profiles in Jakarta, Malaysia or Thailand, and confirm the in-region column for your exact model.
How to measure latency from Southeast Asia
- Test from where users are: mobile networks in Jakarta and Manila behave differently from a Singapore data centre.
- Record time to first token at the 95th percentile, not the average.
- Compare one model across two regions before comparing two models; the region often matters more.
- For voice, pair a local model region with a local media edge — see cloud providers for real-time audio streaming to LLM apps.
Last verified: October 27, 2026.