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MiMo-V2-Flash

Verified

MiMo-V2-Flash delivers long-context text generation from Xiaomi.

XiaomiLanguage ModelsClosed
Model page
Updated 2026-06-14

About MiMo-V2-Flash

MiMo-V2-Flash is a text-only LLM released by Xiaomi. Its architecture supports a context length of 262144 tokens, allowing it to process lengthy documents or conversations in a single pass. The model remains closed-weight with parameter count undisclosed.

Its primary strength lies in managing extended textual sequences without truncation. This capability suits scenarios that demand retention of information across many thousands of tokens. As a proprietary offering, access occurs through Xiaomi's designated platforms rather than local deployment.

Typical usage includes summarization of long reports, multi-turn dialogue maintenance, and analysis of extensive codebases or transcripts. Developers integrate it where cloud-based inference and large context handling are priorities.

Capabilities

Long-context reasoning
Text generation
Document summarization
Question answering
Instruction following
Code generation

How MiMo-V2-Flash compares

MiMo-V2-Flash (striped bar) vs other language models on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · MiMo-V2-Flash ranks #16 of 72

$0.19
Qwen3 30B A3B Instruct 2507
$0.20
Nemotron 3 Nano 30B A3B
$0.21
Hy3 preview
$0.27
Qwen3 Coder 30B A3B Instruct
$0.28
Qwen3 32B
$0.30
Step 3.5 Flash
$0.30
MiMo-V2-Flash
$0.30
gpt-oss-safeguard-20b
$0.34
DeepSeek V3.2
$0.35
Phi 4 Mini Instruct
$0.40
GLM 4.7 Flash
$0.40
Llama 3.3 Nemotron Super 49B V1.5
$0.40
Hermes 4 70B

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long Document Summarization

The model excels at summarizing extensive documents thanks to its 262144-token context window and dedicated summarization capability.

Complex Code Generation

It supports detailed code generation and instruction following, making it suitable for building multi-file applications from natural language specifications.

In-Depth Question Answering

Strong long-context reasoning allows accurate answers drawn from very large knowledge bases or conversation histories.

Strengths & limitations

Strengths

  • +Very large context window
  • +Optimized for speed
  • +Strong text-only performance
  • +Efficient long-document handling

Limitations

  • Text modality only
  • No vision or multimodal support
  • Context overhead on maximum lengths

Cost calculator

Estimate what MiMo-V2-Flash would cost for your usage.

$0.00025
per request
$2.5
estimated / month

Based on MiMo-V2-Flash's $0.10/1M input · $0.30/1M output. Estimate only — actual cost varies by provider and caching.

Quick start

OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.

JavaScript · openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "xiaomi/mimo-v2-flash",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: xiaomi/mimo-v2-flash

Editor's verdict

Our take on MiMo-V2-Flash

MiMo-V2-Flash is Xiaomi's proprietary language models with a 262K-token context window.

At $0.30 per 1M output tokens, it is very cost-efficient for its class.

It is available through Xiaomi's API and aggregators like OpenRouter.

Best suited to very large context window and optimized for speed.

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Frequently asked questions

Specific pricing details are not provided in the model specifications.

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