MiMo-V2.5 | Xiaomi Multimodal LLM API Pricing

Name: Mimo V2.5 API
Brand: xiaomi
Price: 0.4 USD
Availability: InStock

Użycie API

Użyj poniższych przykładów kodu, aby zintegrować się z naszym API:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="xiaomi/mimo-v2.5",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

Wprowadzenie do modelu

Xiaomi: MiMo-V2.5

This model is imported from OpenRouter metadata and exposed through the WaveSpeed AI OpenAI-compatible API for chat completions and compatible application workflows.

Why It Looks Great

text+image+audio+video->text architecture for Text, Audio, Image, Video to Text workloads
1048576 context window for long prompts, document analysis, and multi-turn workflows
Competitive pricing at $0.4/$2 per million tokens
Vision input support for image understanding and multimodal tasks
Function calling and tool-use support for agentic application workflows
Structured output support for JSON responses and schema-constrained generation
Reasoning controls available through supported OpenRouter parameters

Key Features

Context Window: 1048576 tokens
Max Input: 917504 tokens
Max Output: 131072 tokens
Vision: Supported
Function Calling: Supported
Structured Outputs: Supported
Image Generation: Not listed
Audio Input: Supported
Supported Parameters: frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, response_format, stop, temperature, tool_choice, tools, top_p

Specifications

Specification	Value
Provider	xiaomi
Model Type	Chat Completions model
Architecture	text+image+audio+video->text
Context Window	1048576 tokens
Max Input	917504 tokens
Max Output	131072 tokens
Input	Text, Audio, Image, Video
Output	Text
Vision	Supported
Function Calling	Supported
Structured Outputs	Supported
OpenRouter Created	April 22, 2026

Pricing

Token Type	Cost
Input	$0.4 per million tokens
Output	$2 per million tokens
Cached Input	$0.08 per million tokens

Note: Pricing is generated from OpenRouter model metadata. If multiple upstream providers expose different endpoint prices, review and adjust the price before publishing.

How to Use

Write your prompt - describe the task, provide context, and specify the desired output format.
Submit - the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: xiaomi/mimo-v2.5

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="xiaomi/mimo-v2.5",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "xiaomi/mimo-v2.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Mimo V2.5 API

xiaomi/mimo-v2.5

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding tasks. Its 1M context window supports complete documents, extended conversations, and complex task contexts in a single pass, making it ideal for integration with agent frameworks where strong reasoning, rich perception, and cost efficiency all matter.

Najczęstsze pytania o Mimo V2.5

Ile kosztuje API Mimo V2.5?+

Cennik na WaveSpeedAI: $0.40 za milion tokenów wejściowych i $2.00 za milion tokenów wyjściowych. Prompt caching i przetwarzanie wsadowe są rozliczane oddzielnie i obniżają efektywny koszt długich, powtarzalnych obciążeń.

Jakie jest okno kontekstu Mimo V2.5?+

Mimo V2.5 obsługuje do 1049K tokenów kontekstu i do 131K tokenów wyjściowych na zapytanie.

Czy Mimo V2.5 jest kompatybilny z OpenAI?+

Tak. WaveSpeedAI udostępnia Mimo V2.5 przez endpoint kompatybilny z OpenAI pod https://llm.wavespeed.ai/v1. Skieruj oficjalny OpenAI SDK na ten base URL ze swoim kluczem API WaveSpeedAI — bez innych zmian w kodzie.

Jak zacząć z Mimo V2.5?+

Zaloguj się do WaveSpeedAI, utwórz klucz API w Access Keys, a następnie wyślij żądanie na https://llm.wavespeed.ai/v1/chat/completions z id modelu pokazanym powyżej. Nowe konta otrzymują darmowe kredyty na ocenę Mimo V2.5.

Cennik

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