Requesty

XiaomiMiMo/MiMo-V2.5-Pro

MiMo-V2.5-Pro is an open-source Mixture-of-Experts (MoE) language model with 1.02T total parameters and 42B active parameters. It utilizes the hybrid attention architecture and 3-layers Multi-Token Prediction (MTP) introduced in [MiMo-V2-Flash](https://github.com/XiaomiMiMo/MiMo-V2-Flash).

🧠ReasoningπŸ”§Tool calling⚑Caching

Specifications

Context window1.0M tokens
Max outputβ€”
API typechat
AddedMay 27, 2026
Model IDdeepinfra/XiaomiMiMo/MiMo-V2.5-Pro
Data retentionNo
Used for trainingNo
Provider locationπŸ‡ΊπŸ‡Έ US

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model β€” check the base model page or the DeepInfra Inc. models overview.

Pricing

Input / 1M
$1.00
Output / 1M
$3.00
Cache write
β€”
Cache read / 1M
$0.20
Estimated cost
100K input + 10K output$0.13
1M input + 100K output$1.30
10M input + 1M output$13.00

Requesty charges exactly what the upstream provider charges β€” no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to deepinfra/XiaomiMiMo/MiMo-V2.5-Pro.

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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="deepinfra/XiaomiMiMo/MiMo-V2.5-Pro", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Other DeepInfra Inc. models

Frequently asked questions

How much does XiaomiMiMo/MiMo-V2.5-Pro cost?
XiaomiMiMo/MiMo-V2.5-Pro is priced at $1.00 per million input tokens and $3.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges β€” we don't add markup.
What is the context window of XiaomiMiMo/MiMo-V2.5-Pro?
XiaomiMiMo/MiMo-V2.5-Pro has a context window of 1.0M tokens. That's roughly 1,398 words of input you can fit in a single prompt.
What can XiaomiMiMo/MiMo-V2.5-Pro do?
XiaomiMiMo/MiMo-V2.5-Pro supports tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use XiaomiMiMo/MiMo-V2.5-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 "deepinfra/XiaomiMiMo/MiMo-V2.5-Pro". The Quickstart above shows Python, JavaScript and cURL snippets.

Access XiaomiMiMo/MiMo-V2.5-Pro through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.