Xiaomi: MiMo-V2.6-Pro

2 providers live

xiaomi/mimo-v2.6-pro

2 live providers
97.2% uptime
1.20 s first token
37 tok/s output

MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding workloads. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.

Context: 1M; tokens
Max output: 943.7K; tokens
Input: $0.43; per million tokens
Output: $0.87; per million tokens

Providers

Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.Benchmarks

Live providers of MiMo-V2.6-Pro, in the router's order
Who answers now	Input per 1M	First token
llm.buzzpicked	$0.43	3.57 s
DeepInfra	$0.43	1.20 s

llm.buzz answers now: first in the router's order.

First token is the 24-hour median. If the pick fails, the next one answers at its own price.

#	Provider	Input	Output	Cache read	Latency	Throughput	Uptime (3d)
1	llm.buzzAutoNon-EU Data policy not declared	$0.43	$0.87	$0.0036	3.57 s	37 tok/s	97.2%
2	DeepInfraNon-EU Data policy not declared	$0.43	$0.87	$0.0036	1.20 s	18 tok/s	95.8%

Want to serve this model?Become a provider

Price history

No price changes since Oct 20, 2026.

DeepInfra$0.43 in, $0.87 out

Performance

Last 24 hours, from llm.buzz's test requests

Throughput (tok/s)

llm.buzz37 tok/s
DeepInfra18 tok/s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 05:00	54 tok/s	54 tok/s	54 tok/s
llm.buzz	Oct 26, 09:00	6.0 tok/s	6.0 tok/s	6.0 tok/s
llm.buzz	Oct 26, 13:00	112 tok/s	112 tok/s	112 tok/s
llm.buzz	Oct 26, 17:00	31 tok/s	31 tok/s	31 tok/s
llm.buzz	Oct 26, 21:00	31 tok/s	31 tok/s	31 tok/s
llm.buzz	Oct 27, 03:00	37 tok/s	37 tok/s	37 tok/s
llm.buzz	Last 24 hours	37 tok/s	6.0 tok/s	6.0 tok/s
DeepInfra	Oct 26, 09:00	26 tok/s	26 tok/s	26 tok/s
DeepInfra	Oct 26, 13:00	15 tok/s	15 tok/s	15 tok/s
DeepInfra	Oct 26, 18:00	11 tok/s	11 tok/s	11 tok/s
DeepInfra	Oct 26, 23:00	37 tok/s	37 tok/s	37 tok/s
DeepInfra	Oct 27, 03:00	18 tok/s	18 tok/s	18 tok/s
DeepInfra	Last 24 hours	18 tok/s	11 tok/s	11 tok/s

Latency (time to first token)

llm.buzz3.57 s
DeepInfra1.20 s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 05:00	2.07 s	2.07 s	2.07 s
llm.buzz	Oct 26, 09:00	4.29 s	4.29 s	4.29 s
llm.buzz	Oct 26, 13:00	18.4 s	18.4 s	18.4 s
llm.buzz	Oct 26, 17:00	6.17 s	6.17 s	6.17 s
llm.buzz	Oct 26, 21:00	3.57 s	3.57 s	3.57 s
llm.buzz	Oct 27, 03:00	3.57 s	3.57 s	3.57 s
llm.buzz	Last 24 hours	3.57 s	18.4 s	18.4 s
DeepInfra	Oct 26, 09:00	0.83 s	0.83 s	0.83 s
DeepInfra	Oct 26, 13:00	0.69 s	0.69 s	0.69 s
DeepInfra	Oct 26, 18:00	2.48 s	2.48 s	2.48 s
DeepInfra	Oct 26, 23:00	1.20 s	1.20 s	1.20 s
DeepInfra	Oct 27, 03:00	38.2 s	38.2 s	38.2 s
DeepInfra	Last 24 hours	1.20 s	38.2 s	38.2 s

Uptime

Last 72 hours, by hour

Best provider 97.2%

This model

llm.buzz

DeepInfra

Up: 95% or more served
Degraded: 85% to 95%
Down: below 85%
No data
From llm.buzz's test requests

Questions

How much does Xiaomi: MiMo-V2.6-Pro cost?

Xiaomi: MiMo-V2.6-Pro costs $0.43 per million input tokens and $0.87 per million output tokens at llm.buzz, the provider requests go to first, with cache reads at $0.0036 per million tokens.

Do providers train on my prompts?

Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.

Can I serve Xiaomi: MiMo-V2.6-Pro myself?

Yes. Apply as a provider, add your endpoint and list this model at your price. It goes live once the automated check passes.

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Call it

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.llm.buzz/api/v1",
    api_key=os.environ["LLM_BUZZ_KEY"],
)
reply = client.chat.completions.create(
    model="xiaomi/mimo-v2.6-pro",
    messages=[{"role": "user", "content": "Hello"}],
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.llm.buzz/api/v1",
  apiKey: process.env.LLM_BUZZ_KEY,
});
const reply = await client.chat.completions.create({
  model: "xiaomi/mimo-v2.6-pro",
  messages: [{ role: "user", content: "Hello" }],
});

curl https://api.llm.buzz/api/v1/chat/completions \
  -H "Authorization: Bearer $LLM_BUZZ_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "xiaomi/mimo-v2.6-pro",
       "messages": [{"role": "user", "content": "Hello"}]}'

Endpoints

POST /api/v1/chat/completionsPOST /api/v1/responsesPOST /api/v1/messages

Authentication

Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.

More in Authentication and the API reference.

Call Xiaomi: MiMo-V2.6-Pro with one keyEach request pays the price of the provider that answered it.

Get API key