Qwen 3.8 Omni Flash API in Sri Lanka

Prices are shown in LKR to make model costs easier to estimate and manage for Sri Lankan teams, with the published US dollar rate beside each.

For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost LKR 395 — a long prompt and a page of answer each. Every rate is published and stays the same from one request to the next. See every model.

Rupee prices are our published US dollar rates converted at LKR 330.00 to the dollar, our rate for October 2026 — the same rate your invoice uses.

Qwen 3.8 Omni Flash is the Qwen built to take in more than text. You send speech, images or video with your prompt and it answers in text: a transcript, a summary of a call, the steps shown in a screen recording. It shares its design with Qwen 3.8 Flash and holds up to a million tokens in one request.

Sound is inexpensive to send. Alibaba counts seven tokens for each second of audio, so an hour-long recording is about 25,000 tokens of input. It thinks before answering by default, with adjustable effort.

• Transcribing meetings, calls and voice notes.
• Summarising long recordings and answering questions about them.
• Reading screen recordings and short videos.
• Pulling names, dates and actions out of speech.

• Replies come back as text. For a spoken answer, pair it with a text-to-speech model on the same key.
• Thinking is on by default. Turn the effort down for straightforward transcription to keep replies quick.

Roar AI provides access to Qwen 3.8 Omni Flash through the Roar AI gateway, with usage billed in LKR and no foreign card needed. Developers can use Qwen 3.8 Omni Flash alongside other supported models without maintaining a separate integration for every provider.

Alibaba says it recognises speech in 113 languages and dialects, without naming Sinhala or Tamil. Try a few of your own recordings first.

Use the OpenAI SDK you already have — point it at Roar AI and name the model. Read the docs.

from openai import OpenAI

client = OpenAI(base_url="https://api.roar-ai.com/v1", api_key="roar_live_…")

reply = client.chat.completions.create(
    model="qwen3.8-omni-flash",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

Requests to Qwen 3.8 Omni Flash are processed in Singapore, outside Sri Lanka.

Roar AI’s locally hosted model is separate and is labelled as such: if a workload has to stay in the country, Qwen 3.8 27B (Colombo) runs on our own server in Colombo.

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