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xiaomimimo/mimo-v2-flash

Xiaomi MiMo-V2-Flash is a proprietary MoE model developed by Xiaomi, designed for extreme inference efficiency with 309B total parameters (15B active). By incorporating an innovative Hybrid attention architecture and multi-layer MTP inference acceleration, it ranks among the top 2 global open-source models across multiple Agent benchmarks. Its coding capabilities surpass all open-source models and rival the industry-leading closed-source model, Claude 4.5 Sonnet—yet at only 2.5% of the inference

🧠Reasoning🔧Tool calling
Try xiaomimimo/mimo-v2-flashCompareDocs

Specifications

Context window262K tokens
Max output—
API typechat
AddedMay 27, 2026
Model IDnovita/xiaomimimo/mimo-v2-flash
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy→

Benchmarks

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

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Novita AI models overview.

Pricing

Input / 1M
$0.10
Output / 1M
$0.30
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0130
1M input + 100K output$0.13
10M input + 1M output$1.30

Requesty charges exactly what the upstream provider charges — 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 novita/xiaomimimo/mimo-v2-flash.

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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="novita/xiaomimimo/mimo-v2-flash",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Novita AI models

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xiaomimimo/mimo-v2-pro
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minimax/minimax-m2.7-highspeed
205K ctx$0.60/1M
kwaipilot/kat-coder-pro
256K ctx$0.30/1M
inclusionai/ring-2.6-1t
262K ctx$0.30/1M
inclusionai/ling-2.6-flash
262K ctx$0.10/1M

Frequently asked questions

How much does xiaomimimo/mimo-v2-flash cost?
xiaomimimo/mimo-v2-flash is priced at $0.10 per million input tokens and $0.30 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of xiaomimimo/mimo-v2-flash?
xiaomimimo/mimo-v2-flash has a context window of 262K tokens. That's roughly 350 words of input you can fit in a single prompt.
What can xiaomimimo/mimo-v2-flash do?
xiaomimimo/mimo-v2-flash supports tool calling, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use xiaomimimo/mimo-v2-flash 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 "novita/xiaomimimo/mimo-v2-flash". The Quickstart above shows Python, JavaScript and cURL snippets.

Access xiaomimimo/mimo-v2-flash through Requesty

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