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MiMo V2.6 Flash is Xiaomi’s full-modality reasoning model for high-frequency, large-scale professional tasks, optimized for a strong balance of speed, quality, and cost.
Send text, images, video, or audio to MiMo-V2.6-Flash and receive a full-modality reasoning response back.
xiaomi/mimo-v2.6-flashhttps://api.aimlapi.com/v1MiMo V2.6 Flash is Xiaomi’s full-modality, high-intelligence, low-cost reasoning model for professional workflows and large-scale, high-frequency use cases.
It natively accepts text, image, video, and audio and returns text, with support for streaming, tool calling, and structured output in the provider catalogue.
| Developer | Xiaomi |
|---|---|
| Model ID | xiaomi/mimo-v2.6-flash |
| 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 |
Multimodal input
The model supports joint understanding of text, image, video, and audio.
Reasoning-oriented positioning
Xiaomi describes MiMo V2.6 Flash as a reasoning model designed for high-frequency calls and large-scale tasks in professional workflows.
Developer-tool support
The provider catalogue lists streaming, tools, and structured_output among its capabilities.
Efficiency features
Xiaomi says the model uses a hybrid attention architecture with a 1:5 ratio of Global Attention to Sliding Window Attention, a window size of 128, and 3 MTP layers for faster inference.
Agentic workflows
The model is positioned for tasks that involve tool use, multi-step reasoning, and large-scale operational workflows.
Multimodal understanding
It can be used for tasks that require combined interpretation of images, video, audio, and text.
Professional automation
Xiaomi describes it as well suited to high-frequency calls and large-scale tasks in professional settings.
MiMo V2.6 Pro
Xiaomi presents MiMo V2.6 Pro alongside Flash as part of the same MiMo V2.6 series, with Flash positioned as the lower-cost reasoning option.
Sources: https://mimo.mi.com/models/en-US/mimo-v2.6-flash · https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL · https://www.fonearena.com/blog/492958/xiaomi-mimo-v2-6-pro-mimo-v2-6-flash-features.html/amp
High-frequency professional workflows are a documented fit for MiMo V2.6 Flash, which is described as the “best balance for high-frequency calls and large-scale tasks in professional workflows.”
It is also suited to long multimodal analysis and agent runs, including repositories, tool traces, and multi-session work, where long-context handling is important.
Another documented use case is self-hosted coding-agent work and developer workflows, with the model family described as built for coding agents and professional workflows.
It is further suited to multimodal pipelines and computer-use tasks, including reading screenshots, video, or audio alongside text, as well as visual and interactive tasks in richer environments.
See how MiMo V2.6 Flash compares in intelligence, generation speed, cost per task and latency. Data retrieved Nov 3, 2026.
Compare 8 models available on AI/ML API across 4 independent benchmarks.
Expert-written questions across academic subjects.
Agentic tasks completed in a command-line environment.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
| Usage | Price | Unit |
|---|---|---|
| Input | $0.1481 | 1M tokens |
| Output | $0.2962 | 1M tokens |
| Cached input | $0.003 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.1481 | $0.2962 | |
| $0.1481 | $0.2962 | |
| $0.4602 | $0.9205 | |
| $0.4602 | $0.9205 | |
| $4.6 | $9.2 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "xiaomi/mimo-v2.6-flash",
"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-flash",
"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-flash",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());MiMo V2.6 Flash costs $0.1481 input and $0.2962 output per 1M tokens on AI/ML API, billed as you go with no subscription.
MiMo V2.6 Flash is a full-modality reasoning model for high-frequency calls and large-scale professional tasks. It is positioned for reasoning-heavy workflows with streaming, tools, structured output, and multimodal understanding.
It accepts text, image, video, and audio inputs. Xiaomi describes it as a natively omnimodal model with joint understanding across those modalities.
It returns text output. The model is designed to understand multiple input modalities while producing text responses.
Yes, it supports tool call capability. Xiaomi lists tool call among its model capabilities.
Yes, it supports structured output. Xiaomi lists structured output as a capability for the model.
Yes, it supports streaming. Xiaomi lists streaming among the model capabilities.
Yes, it is described as a full-modality, high-intelligence, low-cost reasoning model. Xiaomi also highlights omnimodal understanding and deep thinking for the model.
Yes, Xiaomi describes it as jointly understanding images, video, audio, and text. The model is built for multimodal perception across those inputs.
It is aimed at high-frequency calls and large-scale tasks in professional workflows. Xiaomi presents it as the best balance of speed, quality, and cost for that use case.