Speed
Output tokens / second
MiMo-V2.5 Pro overview
MiMo-V2.5 Pro by Xiaomi
Whether you're running complex software engineering pipelines, long-horizon agentic tasks, or just pushing what a language model can reliably accomplish, this is where you start.
MiMo-V2.5 Pro specs
- Model ID
xiaomi/mimo-v2.5-pro- Developer
- Xiaomi
- Context window
- 1,000,000 tokens
- Max output
- 128,000 tokens
- Input
- Text, Image
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
MiMo-V2.5-Pro API Overview
MiMo-V2.5-Pro isn't just a better version of its predecessor, it's a substantive re-think of what an AI model should be capable of when it has adequate time, context, and tools at its disposal. It succeeds MiMo-V2-Pro across every dimension that matters for real-world engineering work.
Sustained Agentic Execution
V2.5-Pro can maintain coherent, goal-directed behavior across thousands of tool calls within a single session without losing track of constraints, accumulated context, or intermediate state. That's a practical threshold most models can't approach.
Harness Awareness
The model demonstrates what the team calls "harness awareness", it actively maps its own environment, manages memory usage strategically, and shapes how context gets populated in service of the goal. It treats scaffolding as an extension of itself, not just a tool list.
Long-Horizon Coherence
With a 1M-token context window, V2.5-Pro doesn't just hold more information, it reasons over it coherently. Tasks spanning hours of real compute time remain structurally sound, with self-correcting behavior when intermediate results deviate from plan.
Advanced Software Engineering
From repo-level understanding to project scaffolding, architecture planning, code review, and end-to-end builds, V2.5-Pro was evaluated against the Xiaomi MiMo Coding Bench, an in-house suite built to test exactly these real-world engineering workflows.
Real-World Tasks
Synthetic benchmarks are useful signals, but the most honest test of a reasoning model is whether it can complete real work that would challenge a trained professional. Here's what MiMo-V2.5-Pro achieved when handed three demanding, open-ended tasks and left to run.
Use cases
MiMo V2.5 Pro is documented as suited for complex agent tasks that require deep reasoning and long-horizon execution. It is also documented for complex software engineering, including autonomous code generation and full pipeline development. Another documented use case is long document processing and in-depth analysis. It is also described as fitting large-scale code generation and workflow automation.
Capabilities
- Function calling
- Streaming
- Structured outputs
- Reasoning
- Web search
MiMo-V2.5 Pro benchmarks by 
Artificial Analysis
See how MiMo-V2.5 Pro compares in generation speed and latency. Data retrieved Nov 3, 2026.
Benchmark results
Compare 10 models available on AI/ML API across 5 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
GPQA Diamond
Graduate-level science questions written to resist web search.
Terminal-Bench 4.0
Agentic tasks completed in a command-line environment.
AA-LCR
Reasoning across long documents of about 100k tokens.
SciCode
Python coding tasks drawn from scientific research.
MiMo-V2.5 Pro API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.4602 | 1M tokens |
| Output | $0.9205 | 1M tokens |
| Cached input | $0.0038 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
MiMo-V2.5 Pro vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 MiMo-V2.5 Pro | $0.4602 | $0.9205 |
| MiMo V2.6 Flash | $0.1481 | $0.2962 |
| MiMo-V2.5 | $0.1481 | $0.2962 |
| MiMo V2.6 Pro | $0.4602 | $0.9205 |
| MiMo V2.6 Pro UltraSpeed | $4.6 | $9.2 |
How to use the MiMo-V2.5 Pro API
View docs
Build with your agent
Give your agent the model details, code and documentation.
Paste it into your coding agent to build the integration.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "xiaomi/mimo-v2.5-pro",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "xiaomi/mimo-v2.5-pro",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "xiaomi/mimo-v2.5-pro",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to MiMo-V2.5 Pro
Related articles
MiMo-V2.5 Pro FAQ
What is the context window of MiMo-V2.5 Pro?
MiMo-V2.5 Pro has a 1,000,000 tokens context window and can return up to 128,000 tokens.
What inputs and outputs does MiMo-V2.5 Pro support?
MiMo-V2.5 Pro takes text as input and returns text.
What is the model ID for MiMo-V2.5 Pro?
Use xiaomi/mimo-v2.5-pro as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
When was MiMo-V2.5 Pro released?
MiMo-V2.5 Pro became available on April 23, 2026.
How much does MiMo-V2.5 Pro cost?
MiMo-V2.5 Pro costs $0.4602 input and $0.9205 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does MiMo-V2.5 Pro support streaming?
Yes, MiMo-V2.5 Pro can stream responses as they are generated.
Who created MiMo-V2.5 Pro?
MiMo-V2.5 Pro was built by Xiaomi.