MiMo-V2.6-Pro-UltraSpeed
Delivers V2.6-Pro's flagship performance at up to 20x output speed.
Built for real-time interaction and latency-sensitive production scenarios.
Model Specs
Modality
Capabilities
Performance
Model Pricing
CNY
USD
Strengths
Native Pro Performance
Retains V2.6-Pro's full flagship-level capability with zero compromise—same experience on complex tasks, no intelligence traded for speed
Peak Ultra-Speed Experience
Delivers up to 20x faster output speed than V2.6-Pro—built for real-time interaction and latency-sensitive scenarios.
Recommended Scenarios
Quantitative Trading
When breaking news drops, the model analyzes market impact and generates trading signals within milliseconds — closing the decision loop before the market moves for truly low-latency quantitative response.
Real-time Risk Control
Complete complex fraud reasoning and risk assessment within hundreds of milliseconds before settlement. Break past the limits of traditional rule engines, balancing real-time speed with deep reasoning.
Scientific Research
Power instant generation and validation of large-scale hypotheses, cutting human-machine latency to near real-time. Eliminate waiting gaps and keep researchers' thinking continuous.
Real-time Coding Assistance
Deliver code generation that outpaces reading speed for zero-perceived-latency completion. Complex refactors finish in an instant, meaningfully improving development continuity.
Integration
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("MIMO_API_KEY"),
base_url="https://api.xiaomimimo.com/v1"
)
completion = client.chat.completions.create(
model="mimo-v2.6-pro-ultraspeed",
messages=[
{
"role": "system",
"content": "You are MiMo, an AI assistant developed by Xiaomi. Today is date: Tuesday, December 16, 2025. Your knowledge cutoff date is December 2024."
},
{
"role": "user",
"content": [
{
"type": "text",
"text": "Generate a modern-style SaaS landing page as a single file containing only HTML, CSS and JavaScript."
}
]
}
],
max_completion_tokens=131072,
stream=True
)
print("\n========== [Thinking Content] ==========\n")
answering = False
for chunk in completion:
if not chunk.choices:
continue
delta = chunk.choices[0].delta
if hasattr(delta, "reasoning_content") and delta.reasoning_content:
print(delta.reasoning_content, end='', flush=True)
if hasattr(delta, "content") and delta.content:
if not answering:
print("\n\n========== [Answer Content] ==========\n")
answering = True
print(delta.content, end='', flush=True)