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MiMo-V2.6-Pro-UltraSpeed API: toman pricing and code

xiaomi/mimo-v2.6-pro-ultraspeed

Image inputTool callingReasoningJSON outputAudio input
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Input · per 1M tokens
1,506,054 toman
Output · per 1M tokens
3,012,108 toman
One 1,000-word request ≈
5,874 toman

You are billed for the usage the request actually reported. Prices follow the market. Cached input: 12,464 toman per 1M tokens.Pricing and top-ups

MiMo-V2.6-Pro-UltraSpeed example: reading an image into JSON

The example is picked from this model's own capabilities. Drop in your key and it runs as is.

# tip: a data URI works too — base64 the file and prefix it with data:image/jpeg;base64,
curl https://api.uttapen.ir/v1/chat/completions \
  -H "Authorization: Bearer sk-up-…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "xiaomi/mimo-v2.6-pro-ultraspeed",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "text", "text": "Return only the invoice number and the total, as JSON."},
        {"type": "image_url", "image_url": {"url": "https://example.com/factor.jpg"}}
      ]
    }]
  }'
import base64, json
from openai import OpenAI

client = OpenAI(base_url="https://api.uttapen.ir/v1", api_key="sk-up-…")

img = base64.b64encode(open("factor.jpg", "rb").read()).decode()

resp = client.chat.completions.create(
    model="xiaomi/mimo-v2.6-pro-ultraspeed",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Return the invoice number, the date and the total as JSON."},
            {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{img}"}},
        ],
    }],
    response_format={"type": "json_object"},
)
print(json.loads(resp.choices[0].message.content))
import OpenAI from "openai";
import { readFileSync } from "node:fs";

const client = new OpenAI({ baseURL: "https://api.uttapen.ir/v1", apiKey: "sk-up-…" });
const img = readFileSync("factor.jpg").toString("base64");

const resp = await client.chat.completions.create({
  model: "xiaomi/mimo-v2.6-pro-ultraspeed",
  messages: [{
    role: "user",
    content: [
      { type: "text", text: "Return the invoice number, the date and the total as JSON." },
      { type: "image_url", image_url: { url: `data:image/jpeg;base64,${img}` } },
    ],
  }],
  response_format: { type: "json_object" },
});
console.log(JSON.parse(resp.choices[0].message.content));

What is MiMo-V2.6-Pro-UltraSpeed good for?

The id for MiMo-V2.6-Pro-UltraSpeed in our API is "xiaomi/mimo-v2.6-pro-ultraspeed", served from Xiaomi. Context is 1,048,576 tokens; past that you have to summarise the history yourself. A single response can run to 131,072 tokens. On price it sits in the "mid-range" band — cheaper than 82 and dearer than 315 of the other paid models in the catalogue.

Capabilities available on this id: it reads images directly, which makes it a real option for invoices, forms and screenshots; it accepts audio input; it supports tool calling, so it can invoke your own functions with valid arguments; it returns schema-valid JSON through response_format, ready to hand to your code; it has a reasoning mode that pays off on multi-step problems, maths and debugging. All of it works through the standard parameters of the official OpenAI SDK — no custom client, no wrapper. Keep in mind that reasoning tokens are output tokens and do appear on the bill.

For a back-of-envelope figure: about 5,874 toman per 1,000-word exchange (1,506,054 in, 3,012,108 out, per 1M tokens). It supports cached input: repeated context is billed at 12,464 toman per 1M, which matters a lot if your system prompt is long. You are always charged for the usage the request actually reported, never for the estimate, and a failed request costs nothing.

The closest alternative with the same capabilities from a different provider is Gemini 3.5 Flash: MiMo-V2.6-Pro-UltraSpeed works out about 20% more expensive, and its context window is the same size. Both run on the same key and the same code, so trying the other one is a single string change.

To make the figure concrete: 100,000 toman of credit buys roughly 17 thousand-word requests on MiMo-V2.6-Pro-UltraSpeed, and every 1,000 toman is about 170 words of round trip. A job with one million input tokens and one million output tokens comes to 4,518,163 toman in total. Filling this model's 1,048,576-token window costs 1,579,212 toman on the input side alone, which is the real reason to keep conversation history short.

Its nearest relative in the catalogue is "xiaomi/mimo-v2.5", and choosing between those two is where most people hesitate. On a thousand-word request this variant works out about 5.4× more expensive (5,874 against 1,080 toman). The context windows differ too: 1,048,576 against 1,000,000 tokens. Maximum answer length differs as well: 131,072 against 65,536 tokens. On parameters the other takes top_k.

Xiaomi has 5 models in our catalogue; the cheapest is MiMo-V2.6-Flash at 189 toman per thousand words and the dearest MiMo-V2.6-Pro-UltraSpeed at 5,874. Among the less common parameters it accepts presence_penalty — all through the standard request body. It does not support seed, which most models here do, so test before switching if your code relies on them. By context size the nearest option from another provider is DeepSeek V4 Flash 0423 at 1,048,576 tokens.

What to use it for: product chatbots and internal assistants, where cost and quality have to balance, logic puzzles and code review, pulling text and fields out of images, agents that reach out to APIs and databases, extracting data against a fixed schema, analysing a long document or codebase in one request.

Provider's own description

MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original model in quality while delivering roughly 10x...

Three real jobs, priced on this model

Each figure is derived from the prices above and moves when they do.

JobTokensCost
One chat turn with a medium history1,500 in + 400 out3,464 toman
Summarising a ten-page document4,000 in + 600 out7,831 toman
Classifying a thousand short rows120,000 in + 20,000 out240,969 toman

Frequently asked

How do I call MiMo-V2.6-Pro-UltraSpeed from Iran?
Sign up with your mobile number, top the wallet up in toman, create an API key, then in the official OpenAI SDK point base_url at https://api.uttapen.ir/v1 and set model to "xiaomi/mimo-v2.6-pro-ultraspeed". Nothing else in your code changes.
What does MiMo-V2.6-Pro-UltraSpeed cost in toman?
1,506,054 toman per 1M input tokens and 3,012,108 toman per 1M output tokens; a 1,000-word request is around 5,874 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does MiMo-V2.6-Pro-UltraSpeed take?
Up to 1,048,576 tokens per request, roughly 786k words. A single answer can reach 131,072 tokens.
Does MiMo-V2.6-Pro-UltraSpeed support streaming and tool calling?
Streaming (stream=true) works on every model here. This one supports tool calling in the standard OpenAI shape. Image input is accepted through image_url, as a data URI or a public URL. Structured output through response_format works too.