MiMo 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.
Omni-modal understanding
Xiaomi’s model page describes capabilities including Omni-Modal Understanding and Deep Thinking.
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
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
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.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "xiaomi/mimo-v2.6-flash", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = 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": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST 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":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
Cached input is billed at roughly a fiftieth of the fresh-input rate, so workflows that re-send the same long prefix cost far less than the headline input price suggests.
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 37.9 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 27, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
MiMo V2.6 Flash This page | Agentic workflows and structured output | |||
| Reasoning + agents | ||||
| Reasoning + agents |
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.
