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mimo-v2.6-pro

Xiaomi/Open weights/1 provider

Xiaomi MiMo V2.6 Pro. Flagship 1T+ parameter MoE, native omni-modal input (text, image, video, audio), text output. 1M token context window, 128K max output. OpenAI-compatible.More
Compare 1 endpointAll models →

Which id to call

xiaomi/mimo-v2.6-pro

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

From /1M input

$0.43

Xiaomi

Context

1.0M

131K output

Endpoints

1

1 region

Regions

1

chat

Capabilities 5/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

1 endpoint / 1 region

Providers serving mimo-v2.6-pro

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving mimo-v2.6-pro, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1XiaomiGlobal1.0M$0.43$0.87$0.0036no-train

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

xiaomi/mimo-v2.6-pro

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="xiaomi/mimo-v2.6-pro",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

Intelligence Indexreasoning
46.3%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

4

More from Xiaomi

mimo-v2.6-flash

1.0M ctx/from $0.14/1 provider

mimo-v2.6-pro-ultraspeed

1.0M ctx/from $4.35/1 provider

mimo-v2.5-pro

1.0M ctx/from $0.43/2 providers

mimo-v2.5

1.0M ctx/from $0.14/2 providers

Reference

mimo-v2.6-pro questions

Which providers serve mimo-v2.6-pro?

mimo-v2.6-pro is available from 1 provider through Requesty: Xiaomi. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does mimo-v2.6-pro cost?

Pricing starts at $0.43 per million input tokens and $0.87 per million output tokens on Xiaomi, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is mimo-v2.6-pro open weights?

Yes. mimo-v2.6-pro is an open-weights model from Xiaomi, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.

What is the context window of mimo-v2.6-pro?

mimo-v2.6-pro supports up to 1.0M tokens of context, with up to 131K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use mimo-v2.6-pro with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "xiaomi/mimo-v2.6-pro" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Route mimo-v2.6-pro through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings