Atlas / Models / Xiaomi / Xiaomi: MiMo-V2-Flash

Xiaomi: MiMo-V2-Flash✓ Catalog verified

xiaomi/mimo-v2-flash

MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a hybrid-thinking toggle and a 256K context window, and excels at reasoning, coding, and agent scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks as the top #1 open-source model globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. Learn more in our docs.

Input price
$0.09 /1M
Output price
$0.29 /1M
Context
262K
Modalities
text
Released
Dec 14, 2025
Tool calling
✓ Yes
Atlas signal
88/100
01

Overview

MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a hybrid-thinking toggle and a 256K context window, and excels at reasoning, coding, and agent scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks as the top #1 open-source model globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. Learn more in our docs.

Access: available through the official Xiaomi API. Context window: 262K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierxiaomi/mimo-v2-flash
ProviderXiaomi
Model typeText LLM
Context window262K catalog
Input modalitiestext
Output modalitiestext
ReleasedDec 14, 2025
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": 0.95,
  "temperature": null,
  "frequency_penalty": null
}
03

Pricing

Live pricing components for xiaomi/mimo-v2-flash as published in the catalog.

$0.09
Input /1M
$0.29
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$9e-8$0.09 / 1MPer input token
Completion tokens$2.9e-7$0.29 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.1Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Xiaomi: MiMo-V2-Flash
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
83signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Xiaomi: MiMo-V2-Flash through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="xiaomi/mimo-v2-flash",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Xiaomi: MiMo-V2-Flash cost?

$0.09 per 1M input tokens and $0.29 per 1M output tokens on the official Xiaomi API.

What is the context window of Xiaomi: MiMo-V2-Flash?

Xiaomi: MiMo-V2-Flash supports up to 262K tokens of context.

Does Xiaomi: MiMo-V2-Flash support tool / function calling?

Yes, Xiaomi: MiMo-V2-Flash supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Xiaomi: MiMo-V2-Flash?

Use the official Xiaomi API with the model id `xiaomi/mimo-v2-flash`. See the Quick start section above for code examples.