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MiMo-V2.5-Pro API: toman pricing and code

xiaomi/mimo-v2.5-pro

toolsreasoningjson
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Input · per 1M tokens
126,204 toman
Output · per 1M tokens
252,409 toman
One 1,000-word request ≈
492 toman

You are billed for the usage the request actually reported. Prices follow the market. Cached input: 1,044 toman / 1M.Pricing and top-ups

MiMo-V2.5-Pro example: tool calling

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

from openai import OpenAI
import json

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

tools = [{
    "type": "function",
    "function": {
        "name": "check_stock",
        "description": "Returns the stock level of a product",
        "parameters": {
            "type": "object",
            "properties": {"sku": {"type": "string"}},
            "required": ["sku"],
        },
    },
}]

messages = [{"role": "user", "content": "How many of the Nike NK-42 shoe are in stock?"}]
first = client.chat.completions.create(model="xiaomi/mimo-v2.5-pro", messages=messages, tools=tools)
call = first.choices[0].message.tool_calls[0]

# you run the function yourself — the model never touches the database
args = json.loads(call.function.arguments)
result = {"sku": args["sku"], "qty": 7}

messages += [first.choices[0].message, {"role": "tool", "tool_call_id": call.id, "content": json.dumps(result)}]
final = client.chat.completions.create(model="xiaomi/mimo-v2.5-pro", messages=messages, tools=tools)
print(final.choices[0].message.content)

What is MiMo-V2.5-Pro good for?

MiMo-V2.5-Pro is one of Xiaomi's models. Put "xiaomi/mimo-v2.5-pro" in the model field and the rest of your code stays as it is. MiMo-V2.5-Pro keeps 1,050,000 tokens in view at once, and that number is what caps the conversation history in your product. A single response can run to 131,072 tokens. On price it sits in the "cheap" band — cheaper than 127 and dearer than 279 of the other paid models in the catalogue.

Capabilities available on this id: 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 492 toman per 1,000-word exchange (126,204 in, 252,409 out, per 1M tokens). It supports cached input: repeated context is billed at 1,044 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 DeepSeek V3: MiMo-V2.5-Pro works out roughly 1.1× more expensive, and its context window is larger. 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 203 thousand-word requests on MiMo-V2.5-Pro, and every 1,000 toman is about 2,033 words of round trip. A job with one million input tokens and one million output tokens comes to 378,613 toman in total. Filling this model's 1,050,000-token window costs 132,515 toman on the input side alone, which is the real reason to keep conversation history short.

Xiaomi has 2 models in our catalogue; the cheapest is MiMo-V2.5 at 158 toman per thousand words and the dearest MiMo-V2.5-Pro at 492. Among the less common parameters it accepts logit_bias, logprobs, min_p, repetition_penalty, top_k, top_logprobs — all through the standard request body. By context size the nearest option from another provider is GPT-5.4 at 1,050,000 tokens.

What to use it for: high-volume work such as classification, tagging and bulk summarising, logic puzzles and code review, 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-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....

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 out290 toman
Summarising a ten-page document4,000 in + 600 out656 toman
Classifying a thousand short rows120,000 in + 20,000 out20,193 toman

Frequently asked

How do I call MiMo-V2.5-Pro 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-v2.5-pro". Nothing else in your code changes.
What does MiMo-V2.5-Pro cost in toman?
126,204 toman per 1M input tokens and 252,409 toman per 1M output tokens; a 1,000-word request is around 492 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does MiMo-V2.5-Pro take?
Up to 1,050,000 tokens per request, roughly 788k words. A single answer can reach 131,072 tokens.
Does MiMo-V2.5-Pro support streaming and tool calling?
Streaming (stream=true) works on every model here. This one supports tool calling in the standard OpenAI shape. Structured output through response_format works too.