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Xiaomi · MiMo · Flagship

MiMo V2.6 Pro

Discount −30%New

Xiaomi's omnimodal flagship for coding, long agent workflows and visual tasks.

Model id

mimo-v2.6-pro
Get an API keyTry in Chat

Price per 1M tokens

Input
Regular rate $0.435now $0.3045
Output
Regular rate $0.87now $0.609
Cached input
$0.003699% below input

30% below the market rate.

Added here 18 Oct 2026 — read the changelog for what changed and why.

Output is 2× the input rate. $1 covers about 1,639 prompts of 1,000 input + 500 output tokens. 1 credit = $1 of usage. All rates

Start using MiMo V2.6 Pro

Set ONEAIAPIKEY_API_KEY to a key from your console, then run any example. Streaming is on so long answers are not cut off by idle-connection timeouts.

curl https://api.oneaiapikey.com/v1/chat/completions \
  -H "Authorization: Bearer $ONEAIAPIKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mimo-v2.6-pro",
    "stream": true,
    "messages": [{"role": "user", "content": "Check the order status for each customer in this list and draft a reply to the late ones."}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.oneaiapikey.com/v1",
    api_key=os.environ["ONEAIAPIKEY_API_KEY"],
)

stream = client.chat.completions.create(
    model="mimo-v2.6-pro",
    messages=[{"role": "user", "content": "Check the order status for each customer in this list and draft a reply to the late ones."}],
    stream=True,  # recommended for long outputs
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.oneaiapikey.com/v1",
  apiKey: process.env.ONEAIAPIKEY_API_KEY,
});

const stream = await client.chat.completions.create({
  model: "mimo-v2.6-pro",
  messages: [{ role: "user", content: "Check the order status for each customer in this list and draft a reply to the late ones." }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

More: quickstart · API reference · try it in Chat first

Benchmarks reported by the vendor

Scores for MiMo V2.6 Pro as its maker published them, with the setting they state. We have not re-run them. Versions and settings differ between vendors, so compare only identical benchmark names; compare models side by side.

Tokens per day, by model

Last 7 days, UTC days

Hover, tap or drag across any day, or focus the chart and use the arrow keys, to see how every model did that day.

Real tokens served through this gateway, updated every 5 minutes. Ranked by usage, not quality.

Full ranking insights

Nearest alternative

MiMo V2.6 Pro or Qwen3.8 Max?

MiMo V2.6 Pro is the only MiMo model here. Qwen3.8 Max from Qwen is the closest-priced flagship-tier model from another vendor. Each comparison lists the published rates and limits, then what favours each side.

MiMo V2.6 ProvsQwen3.8 Max

Per 1M tokensMiMo V2.6 ProQwen3.8 Max
Input$0.304547% less$0.577
Output$0.60965% less$1.73
Cached input$0.003699% less$0.25
Context1.05M5% larger1M
Max output131.1k2% more128k

Pick MiMo V2.6 Pro when

  • cost per request decides it: MiMo V2.6 Pro charges input 47% less and output 65% less than Qwen3.8 Max.
  • prompts run past 1M tokens: MiMo V2.6 Pro reads up to 1.05M.
  • one answer must be longer than 128k tokens (its limit is 131.1k).
  • you rely on Structured output, which Qwen3.8 Max does not list.
  • the work is coding, agent workflows and visual tasks, which this catalogue lists for MiMo V2.6 Pro and not for Qwen3.8 Max.

Pick Qwen3.8 Max instead when

  • MiMo V2.6 Pro does not list JSON mode and your code depends on it.
  • your workload looks like coding projects, professional documents and video understanding, labels the catalogue gives Qwen3.8 Max only.

Use cases

What MiMo V2.6 Pro is listed for, and what it costs

The catalogue lists MiMo V2.6 Pro for coding, agent workflows and visual tasks. Rows with a price show one typical request at the published rates, with the arithmetic shown. The market-rate figure shows the same request at the lowest public price elsewhere. Token counts are examples; your prompts will differ.

Model your own traffic

  1. Coding

    Implementing a function or endpoint: 8,000 tokens of context in, 2,000 tokens of code out.

    Capable across languages for implementation, debugging and explaining code.

    “Write a TypeScript endpoint that returns paginated orders for the signed-in user.”

    Same request on Qwen3.8 Max $0.008076.

    $0.003654

    per task, about 2,736 per $10

    $0.00522 at the market rate

    0.008 × $0.3045 + 0.002 × $0.609

  2. Agent workflows

    One step of a tool-using agent: 20,000 tokens of instructions, tool results and history, 15,000 of them cached, and 1,000 tokens of tool calls and notes out.

    “Check the order status for each customer in this list and draft a reply to the late ones.”

    Same request on Qwen3.8 Max $0.008366.

    $0.002186

    per agent step, about 4,574 per $10

    $0.0031 at the market rate

    0.005 × $0.3045 + 0.015 × $0.0036 + 0.001 × $0.609

  3. Visual tasks

    The cost depends on the size and number of images you send, so no typical request is priced here.

Overview

When MiMo V2.6 Pro fits

MiMo V2.6 Pro is a flagship model from Xiaomi, available here under the exact model id “mimo-v2.6-pro”. It is currently the only MiMo model we serve. Xiaomi has not published a release date we can cite; it has been available here since 18 Oct 2026.

Xiaomi documents tools, vision, reasoning, structured output and prompt caching for it, and it reads images as well as text.

It costs $0.3045 per million input tokens and $0.609 per million output tokens, so output is 2× the input rate. That is 30% below the market rate of $0.435 input and $0.87 output per million tokens, the lowest public price we found at other API gateways. On the use cases below, output makes up 33% of the bill for coding and 28% for agent workflows, so trimming the context you send saves more than capping the answer. With a 3:1 input-to-output mix it ranks 7th lowest-cost of the 27 models on this site.

Cached input bills at $0.0036 per million tokens, 99% below the standard input rate. In the agent workflows example, 15k of the 20k input tokens come from cache, which brings one agent step from $0.0067 down to $0.002186.

It is served through the OpenAI-compatible format at https://api.oneaiapikey.com/v1, so any SDK or tool that lets you set a custom base URL, for example Codex CLI, Cursor and Cline, can use it. It is not offered on the Anthropic Messages endpoint; pick an Anthropic-format model for Claude Code.

Similar models

Same tier, other vendors

Same key, same balance. Switching is a change to the model field.

Compare side by sideAll models

Use MiMo V2.6 Pro with any balance.

MiMo V2.6 Pro is a paid model: any balance above $0 pays for it, the $10.00 sign-up credit included. When it runs out, add $1 or more to your wallet. Every request is billed at the rates above, with a receipt in your usage log.

Create an accountSee pricing

MiMo V2.6 Pro is developed by Xiaomi. Model names and trademarks belong to their owners. One AI API Key is an independent API gateway and is not affiliated with, endorsed by or sponsored by Xiaomi.