mimo-v2-flash

completions

byopenrouter

mimo-v2-flash

completions

Published by: xiaomiProvider:

openrouter

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](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config).

Released

Dec 16, 2025

Knowledge

Jun 19, 2025

Context

262144

Input

$0.1 / 1M tokens

Output

$0.3 / 1M tokens

Cached

$0.03 / 1M tokens

Capabilities: tools, reasoning

Accepts: text

Returns: text

Released Dec 16, 2025Knowledge Cutoff: Jun 19, 2025

Context: 262144 Input: $0.1 / 1M tokensOutput: $0.3 / 1M tokensCached: $0.03 / 1M tokensCapabilities: tools, reasoningAccepts: textReturns: text

Access mimo-v2-flash through LangDB AI Gateway

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Benchmark Results for mimo-v2-flash

Category Performance Scores:

Maths: Score 96.30 (Top 1% - Rank #4)
Finance: Score 67.75 (Top 5% - Rank #17)
Science: Score 77.43 (Top 14% - Rank #48)
Writing: Score 67.67 (Top 14% - Rank #48)
Academia: Score 61.90 (Top 10% - Rank #34)
Marketing: Score 67.39 (Top 9% - Rank #31)
Programming: Score 31.80 (Top 21% - Rank #71)

Overall Performance: 67.17682539682541 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	21.10	Top 9%	General Knowledge
GPQA	84.60	Top 8%	STEM (Physics, Chemistry, Biology)
SciCode	39.40	Top 23%	Scientific
MMLU-Pro	84.30	Top 17%	General Knowledge
LiveCodeBench	86.80	Top 5%	Programming
AA Math Index	96.30	Top 1%	Mathematics
AA Coding Index	31.80	Top 21%	Programming
AAII	39.20	Top 11%	General

GPQA Score: 84.60 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 262144 tokens

Comparing against 337 models in the database

Category Scores

maths#3 finance#8

Benchmark Tests

View Other Benchmarks

HLE

21.1

General Knowledge

GPQA

84.6

STEM (Physics, Chemistry, Biology)

SciCode

39.4

Scientific

MMLU-Pro

84.3

General Knowledge

LiveCodeBench

86.8

Programming

AA Math Index

96.3

Mathematics

AA Coding Index

31.8

Programming

AAII

39.2

General

Metric	HLE	GPQA	SciCode	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	21.1	84.6	39.4	84.3	86.8	96.3	31.8	39.2

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Code Examples

Integration samples and API usage

Code Samples for mimo-v2-flash

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="mimo-v2-flash",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

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

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "mimo-v2-flash",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

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

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mimo-v2-flash",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: mimo-v2-flash

Provider: openrouter

API Endpoint: $https://api.us-east-1.langdb.ai

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mimo-v2-flash by openrouter - AI Model Details, Pricing, and Performance Metrics

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Access mimo-v2-flash through LangDB AI Gateway

Category Scores

Benchmark Tests

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