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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).

ReasoningTool callingCachingJSON schema
Try XiaomiMiMo/MiMo-V2.5-ProCompareDocs

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
Privacy policyDeepInfra Privacy Policy→

Benchmarks

Released 2026-04-22
Coding Indexcoding
45.5%

Artificial Analysis Coding Index β€” a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
86.6%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
53.8%

Artificial Analysis Intelligence Index β€” a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality β€” always test on your own workload.

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)

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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.
How does XiaomiMiMo/MiMo-V2.5-Pro perform on benchmarks?
XiaomiMiMo/MiMo-V2.5-Pro scores 94.2% on τ²-Bench, 86.6% on GPQA Diamond, 53.8% on Intelligence Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can XiaomiMiMo/MiMo-V2.5-Pro do?
XiaomiMiMo/MiMo-V2.5-Pro supports tool calling, extended reasoning, prompt caching, structured outputs (JSON schema). 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.

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