OpenAI-compatible API

One API.
Many AI Models.

Bali LLM is an AI inference platform. Access leading open-source language models through one simple, reliable and developer-friendly API — no GPU infrastructure, no model deployment, no new SDK to learn.

  • One unified APIMany models, one integration
  • OpenAI-compatibleDrop-in /v1/chat/completions
  • No GPU to manageWe run the infrastructure
  • Built in IndonesiaBy PT Bali Towerindo Sentra Tbk

What is Bali LLM

AI models, made simple

Bali LLM makes it easy for developers and businesses to integrate large language models into their applications. We host and serve leading open-source models behind a single endpoint, so your team ships features instead of provisioning GPUs.

Because the API follows the OpenAI specification, moving an existing application over is usually a change of base_url and a model name — the rest of your code stays exactly as it is.

  • No GPU infrastructure to buy, size, or babysit
  • No model deployment or serving stack to maintain
  • Switch or compare models by changing one string
  • Streaming and function calling supported
kimi-k3
Tolong ringkas kontrak sewa menara ini jadi 5 poin buat rapat direksi, bahasa formal.
Berikut ringkasan kontrak sewa menara dalam 5 poin:
  1. Objek sewa — 1 unit menara telekomunikasi beserta ruang antena.
  2. Jangka waktu — 10 tahun, dengan opsi perpanjangan otomatis.
  3. Nilai & eskalasi — biaya sewa tahunan dengan penyesuaian berkala.
  4. Kewajiban pemeliharaan — ditanggung pihak pemilik menara.
  5. Pengakhiran — pemberitahuan tertulis sebelum masa berakhir.
Sekarang versi Bahasa Jawa halus, singkat.

Why Bali LLM

Everything you need to ship AI features

One API, one key, one bill — and the freedom to change your mind about models.

🔌

Simple

One API to reach every model we serve. Integrate once, then pick models per use case without touching your integration again.

⚡

Fast

Low-latency inference tuned for production traffic, with streaming responses so chat and agent workloads feel instant.

🎛️

Flexible

Choose the model that fits the job — a small fast one for classification, a larger one for reasoning over long documents.

📈

Scalable

Scale AI workloads up and down without buying GPUs, managing clusters, or planning capacity months ahead.

🧩

OpenAI-compatible

Already using OpenAI? Switching is simple. Works with the OpenAI SDKs, LangChain, LlamaIndex, n8n, and anything that speaks the same spec.

🏢

Enterprise-ready

Dedicated endpoints, higher rate limits, private deployment, and dedicated capacity when a shared endpoint is not enough.

Available models

Pick the model that fits the job

Same API, same request format — different cost and capability points.

Powered by leading open-source models

  • Kimi
  • Qwen
  • Nemotron
Model Type Context Use case Status
Kimi K3 Chat · Reasoning 1M Flagship — agents, multi-step reasoning, very long documents Available
Nemotron 3.5 Lightning Chat 1M Long-context chat and high-throughput drafting Available
Qwen 3.5 122B Chat 256K Long documents, summarisation, RAG Available
Qwen 3.6 35B Chat 256K Fast general chat, customer support, classification Available

Need a dedicated endpoint or a private deployment? Tell us about your use case — pricing is flexible and quoted per workload.

Quickstart

Build with Bali LLM

If you already use an OpenAI-compatible API, getting started takes minutes. Point base_url at Bali LLM, pick a model, and send your first request — the rest of your application stays exactly as it is.

  • Get your API key
  • Choose a model that fits the job
  • Send your request and get the response
  • No new SDK, no GPU, no deployment step
Get API access
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_BALILLM_API_KEY",
    base_url="https://api.balillm.ai/v1",
)

response = client.chat.completions.create(
    model="kimi-k3",
    messages=[
        {"role": "user", "content": "Hello BaliLLM"},
    ],
)

print(response.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.BALILLM_API_KEY,
  baseURL: "https://api.balillm.ai/v1",
});

const res = await client.chat.completions.create({
  model: "kimi-k3",
  messages: [
    { role: "user",
      content: "Buatkan balasan email penawaran sewa menara, sopan dan singkat." },
  ],
});

console.log(res.choices[0].message.content);
curl https://api.balillm.ai/v1/chat/completions \
  -H "Authorization: Bearer $BALILLM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k3",
    "messages": [
      { "role": "user", "content": "Apa itu Bali LLM?" }
    ]
  }'

Already using an OpenAI-compatible API? Changing base_url is usually the whole migration.

Use cases

What teams build with Bali LLM

AI chatbots

Conversational assistants for customer service, in Bahasa Indonesia or any language your users speak.

AI agents

Tool-using agents and automation, powered by function calling and structured JSON output.

Content generation

Generate, translate, and transform content at scale — from product copy to internal reports.

Enterprise AI

RAG over SOPs, contracts, and regulations, wired into the business systems you already run.

Ready to build with AI?

Start integrating powerful AI models with Bali LLM. Tell us what you are building and we will get you a key.

Get in touch

Contact us

Get in touch

Leave your details and a short note about your use case. Our team will reply by email — usually within one business day.

Need a dedicated AI solution?

  • Dedicated model or dedicated endpoint
  • Private / on-premise deployment
  • Higher rate limits and enterprise support
  • Dedicated capacity for your workload
  • PT Bali Towerindo Sentra Tbk, Jakarta, Indonesia
  • Your details are only used to answer your enquiry.

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