MiMo-V2.5 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 ₹89.18 — 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 is one of the few open-weight models that understands audio and video as well as text and images, using encoders Xiaomi built itself. It is a 310-billion-parameter mixture of experts with 15 billion active per token and a million-token context, released under MIT in April 2026.

Xiaomi reports 56.1% on SWE-bench Pro and 65.8% on Terminal-Bench 2, respectable for its cost. Its weak spot is putting those senses to work: on agent tasks that need it to act on images or video, it scores far lower.

• Analysing recordings, video and images together with text.
• Coding agents on a budget.
• Media and document analysis.

• Weak at multimodal agent tasks: 23.8% on Xiaomi’s own Claw-Eval Multimodal.
• Xiaomi has not said how its reasoning can be controlled.
• Its scores are Xiaomi’s own.

Roar AI provides access to MiMo-V2.5 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 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",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

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

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