MiMo-V2.5-Pro API in India

In Indian rupees, the currency your card is charged in, with the published US dollar rate beside each.

For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost ₹277.10 — 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.

Prices are our published US dollar rates converted at ₹98.00 to the dollar, our rate for October — the same rate your card is charged.

MiMo-V2.5-Pro is Xiaomi’s flagship, a trillion-parameter model made for long, autonomous software work. Xiaomi’s showcase had it build a compiler in Rust over 4.3 hours and 672 tool calls, passing all 233 tests. It is also sparing with words: Xiaomi says it uses 40–60% fewer tokens than comparable frontier models to reach similar results.

It reads text only — the image and audio model is MiMo-V2.5 — and its weights are open under MIT. Xiaomi reports 57.2% on SWE-bench Pro.

• Long-running autonomous coding sessions.
• Agent work on a tight token budget.
• Complex, multi-step software engineering.

• Text only.
• Xiaomi’s leads are self-reported, and reviewers caution that such leads have not always held up in everyday use.
• Xiaomi has not said how its reasoning can be controlled.

Roar AI provides access to MiMo-V2.5-Pro through the Roar AI gateway, charged in Indian rupees on one bill with every other model. Requests from India go through our gateway in Bangalore. Developers can use MiMo-V2.5-Pro alongside other supported models without a separate integration for every provider.

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="mimo-v2.5-pro",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

Requests to MiMo-V2.5-Pro are processed on international infrastructure, outside India. The model directory says where each model is processed.

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