Pricing
- Input Tokens: $0 /M tokens
- Output Tokens: $0 /M tokens
- Cache Read: $0 /M tokens
Input Modalities
- Text
- Vision
- Audio
- Video
Output Modalities
- Text
Context length
- 1.05M tokens
Try this model
Python
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AIHUBMIX_API_KEY"],
base_url="https://aihubmix.com/v1",
)
response = client.chat.completions.create(
model="xiaomi-mimo-v2.6-flash-free",
messages=[
{
"role": "user",
"content": "Hello, how are you?"
}
],
max_tokens=1024,
stream=False,
)
print(response.choices[0].message.content)mimo-v2.6-flash is Xiaomi's latest model series. A fully multimodal, highly intelligent, low-cost efficient inference model, it is the best-balanced choice for high-frequency invocations and large-scale tasks in professional office settings.
MiMo-V2.6-Pro is Xiaomi’s trillion-parameter, natively omni-modal flagship reasoning model for complex projects, long-horizon agentic tasks, coding, research, and professional knowledge work. It supports a 1M-token context window and up to 128K output tokens. Compared with V2.5, it delivers stronger reasoning and long-task performance while retaining the same API pricing.
MiMo-V2.6-Pro-UltraSpeed combines the flagship performance of MiMo-V2.6-Pro and offers up to 20× output speed to serve highly real-time interactive and latency-sensitive production scenarios.
xiaomi-mimo-v2.6-pro-free is the open free version of xiaomi-mimo-v2.6-pro. To maintain reliable service, each account is limited to 5 requests per minute, 100 requests per day, and 1 million tokens per day.
Only supports OpenAI-compatible formats.

MiMo-V2.5 is a native, fully multimodal large model designed for agent scenarios; it can see, hear, and read, and translate understanding into action. It has over 1 trillion total parameters (42B active parameters), employs an innovative hybrid-attention architecture, and supports an ultra-long 1M context length. Built on a powerful model base, we continuously scale compute across broader agent scenarios, further expanding the agent’s action space and achieving an important generalization from coding to claw.
© 2023 - 2026 AIHubMix, LLC