Intelligence
Index v5.0
MiMo V2.6 Pro overview
MiMo V2.6 Pro by Xiaomi
Send multimodal prompts to mimo-v2.6-pro and get back an omnimodal reasoning response for complex projects, long-horizon tasks, and professional work.
MiMo V2.6 Pro specs
- Model ID
xiaomi/mimo-v2.6-pro- Developer
- Xiaomi
- Context window
- 1,048,576 tokens
- Max output
- 131,072 tokens
- Input
- Image, Text, Video
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
What Is MiMo V2.6 Pro API?
MiMo V2.6 Pro is Xiaomi’s flagship omni-modal reasoning model for complex projects, long-horizon tasks, high-stakes work, cybersecurity, and research. Xiaomi describes it as a trillion-parameter model with full-modality support and top-tier agent capabilities.
The model page lists capabilities including omni-modal understanding, deep thinking, tool call, streaming, web search, structured output, and context caching. Xiaomi also says the model combines 3D spatial reasoning, multimodal perception, and computer-use capabilities.
Technical Reference
| Developer | Xiaomi |
|---|---|
| Model ID | xiaomi/mimo-v2.6-pro |
| Release Date | September 21, 2026 |
| Context Window | 1,048,576 tokens (~1.0M) |
| Max Output Tokens | 131,072 tokens |
| Modalities | Image, Text, Video → Text |
| Capabilities | reasoning, streaming, structured (JSON schema) output, tool/function calling, vision |
What MiMo V2.6 Pro Brings to the Table
Omni-modal input
Xiaomi states that MiMo V2.6 Pro jointly understands images, video, audio, and text. Third-party coverage also describes it as natively supporting text, image, video, and audio inputs.
3D and interactive world capabilities
MiMo V2.6 can decompose text, image, or video prompts into multiple tasks, coordinate multiple agents, and build interactive 3D scenes with visual verification. Xiaomi also says it can generate 3D objects and scenes in Blender from text or reference images.
Computer-use and embodied control
The model is described as having computer-use agent capabilities and as being able to control a Franka Panda robotic arm in embodied simulation using multi-view camera input and visual feedback.
Tool and structured-output support
Xiaomi’s model page explicitly lists tool call, streaming, web search, structured output, and context caching among the model’s features. OpenRouter likewise reports tool calling and structured outputs support for this model.
Where MiMo V2.6 Pro Makes the Most Sense
Interactive 3D content creation
Use MiMo V2.6 Pro for turning text, images, or video into playable 3D worlds, interactive scenes, and Blender assets for animation, 3D printing, or game development.
Agentic software and design workflows
Xiaomi positions the model for complex programming, agent tasks, web pages, slides, frontends, and design work that may involve Figma or image/video generation tools.
Embodied simulation and robotics
The model is described as able to read multi-view camera feeds, reason continuously, and control a Franka Panda robotic arm to grasp, match colors, and place objects precisely.
Video and educational production
Xiaomi says the model can produce creative and product promo videos, and also explain abstract concepts with coherent animations and narration aligned to visuals.
MiMo V2.6 Pro vs the Alternatives
MiMo V2.6 Flash
Xiaomi presents Flash as the other main model in the MiMo V2.6 family and says it emphasizes a balance between performance, efficiency, and cost, while Pro is the flagship reasoning model.
Sources: https://mimo.xiaomi.com/mimo-v2-6 · https://aiidelist.com/blog/what-is-mimo-v2-6 · https://ai-tldr.dev/models/mimo-v2-6-pro/
Use cases
MiMo V2.6 Pro is documented as suited for complex software engineering, long-running agent tasks, and professional workflows.
It is also described as a fit for cybersecurity and research, especially high-stakes work and complex projects.
Another documented use case is new materials R&D, including literature review, molecular design, and automated dry-lab experiments for PFAS capture.
It is also shown helping researchers with material design and computational screening.
Capabilities
- Reasoning
- Streaming
- Structured outputs
- Function calling
- Vision
MiMo V2.6 Pro benchmarks by 
Artificial Analysis
See how MiMo V2.6 Pro compares in intelligence, generation speed, cost per task and latency. Data retrieved Nov 3, 2026.
Benchmark results
Compare 8 models available on AI/ML API across 4 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
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 V2.6 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 V2.6 Pro vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 MiMo V2.6 Pro | $0.4602 | $0.9205 |
| MiMo V2.6 Flash | $0.1481 | $0.2962 |
| MiMo-V2.5 | $0.1481 | $0.2962 |
| MiMo-V2.5 Pro | $0.4602 | $0.9205 |
| MiMo V2.6 Pro UltraSpeed | $4.6 | $9.2 |
How to use the MiMo V2.6 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-v2.6-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-v2.6-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-v2.6-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 V2.6 Pro
MiMo V2.6 Pro FAQ
How much does MiMo V2.6 Pro cost?
MiMo V2.6 Pro costs $0.4602 input and $0.9205 output per 1M tokens on AI/ML API, billed as you go with no subscription.
What is MiMo V2.6 Pro designed for?
MiMo V2.6 Pro is Xiaomi’s flagship reasoning model, built for complex projects, long-horizon tasks, high-stakes work, cybersecurity, and research.
Which input modalities does MiMo V2.6 Pro support?
It supports text, images, video, and audio as input.
What kind of output does MiMo V2.6 Pro produce?
It produces text output.
Does MiMo V2.6 Pro support streaming?
Yes. Xiaomi lists streaming as one of the model’s supported capabilities.
Does MiMo V2.6 Pro support tools or function calling?
Yes. Xiaomi lists tool call support for the model.
Does MiMo V2.6 Pro support structured output?
Yes. Xiaomi lists structured output as a supported capability.
Does MiMo V2.6 Pro support vision tasks?
Yes. The model supports joint understanding of images and video, and Xiaomi describes it as omni-modal.
What agent-style capabilities does MiMo V2.6 Pro have?
Xiaomi says it can coordinate multiple agents, handle computer-use tasks, and build interactive 3D scenes from text, image, or video prompts.
Can MiMo V2.6 Pro work with 3D and creative workflows?
Yes. Xiaomi says it can generate 3D objects and scenes in Blender, create frontends and slide decks, and assemble video and music workflows.