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XiaomiMiMo/MiMo-V2.5-Pro

xiaomimimo/mimo-v2.5-pro
MiMo-V2.5-Pro is purpose-built to push the boundaries of complex software engineering and extreme long-horizon tasks. Compared to its predecessor, it achieves a comprehensive leap in general agentic capabilities, advancing the human-AI collaboration paradigm toward true "autonomous delivery." Without human intervention, it stably orchestrates massive workflows requiring up to a thousand tool calls in a single session, not only precisely capturing implicit requirements within ultra-long contexts but also demonstrating exceptional global architectural planning and self-correction discipline. In core agentic scenarios and long-horizon complexities, MiMo-V2.5-Pro is fully equipped to go head-to-head with top-tier global models like Claude Opus 4.6 and GPT-5.4. Backed by this exceptionally high execution confidence and long-term logical consistency, it completely sheds the "co-pilot" label, ready to take on truly serious, professional-grade workloads in real-world business environments.
Price
Input$2 per million tokens
Cached reads$0.4 per million tokens
Output$6/百万 tokens
Tiered pricing
Request the length each timeInputCached readsSelling price
0 < tokens <= 262,144$1$0.2$3
262,144 < tokens <= 1,048,576$2$0.4$6

Use the following code example to integrate our API:

1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.highwayapi.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="xiaomimimo/mimo-v2.5-pro",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=131072,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)

Information

Provider
-
Quantification
-

Supported Features

Context length
1048576
Maximum output
131072
serverless
Support
Function call
Support
Structured output
Support
Reasoning
Support
Input Capabilities
text
Output Capabilities
text
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