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.
| 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.
