NeuralBridgeDocumentation

Qwen3 VL Flash

unofficialchat
DeveloperQwen
Identifierqwen/qwen3-vl-flash-12544

Qwen3 VL Flash specifications

Context window256K
Max output tokens32768
Release date—
InputText, Image
OutputText

Qwen3 VL Flash pricing in rubles

You pay for what you use, per token and per unit. The final request cost is returned in the API response.

TypePrice
Input tokens14,35 ₽ per 1M tokens
Output tokens100,46 ₽ per 1M tokens

Prices are in rubles and may change with exchange rates.

What Qwen3 VL Flash can do

Qwen3 VL Flash API: connection and code examples

The service exposes a single OpenAI-compatible API. Set our base_url and the key from your dashboard.

OpenAI Python SDK

from openai import OpenAI

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

response = client.chat.completions.create(
    model="qwen/qwen3-vl-flash-12544",
    messages=[{"role": "user", "content": "Привет! Расскажи о себе."}],
)

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

Python (requests)

import requests

response = requests.post(
    "https://api.neuralbridge.ru/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "model": "qwen/qwen3-vl-flash-12544",
        "messages": [{"role": "user", "content": "Привет! Расскажи о себе."}],
    },
)

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

cURL

curl https://api.neuralbridge.ru/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-vl-flash-12544",
    "messages": [{"role": "user", "content": "Привет! Расскажи о себе."}]
  }'

API endpoints

POST /v1/chat/completionsprimaryChat Completions
Chat asosiy endpointi: xabarlar tarixini qabul qiladi va model javobini qaytaradi. Oqimli va oddiy rejimlarni qo‘llab-quvvatlaydi.
POST /v1/responsesResponses
Holat va tuzilgan chiqish bilan chatning muqobil formati.
POST /v1/messagesMessages
Anthropic formati: Claude uchun yozilgan mijozlar va SDKlar uchun bir xil chat.
POST /v1/converseConverse
Amazon Bedrock Converse formati — uni uchun yozilgan mijozlar uchun.
POST /v1/converse-streamConverse Stream
Bedrock Converse formatining oqimli varianti.
POST /v1/generateContentGenerate Content
Google Gemini formati — mijozlar va unga mo‘ljallangan SDKlar uchun.
POST /v1/streamGenerateContentStream Generate Content
Gemini formatining oqimli varianti.

Supported request parameters

ParameterDefaultAllowed valuesDescription
temperature1—Javobning xilma-xilligiga ta'sir qiladi: qiymat qanchalik yuqori bo'lsa, chiqish shunchalik tasodifiy, past bo'lsa, shunchalik oldindan aytib bo'ladigan.
top_p1—Eng ehtimoliy tokenlarning ulush tanlovini cheklaydi: faqat ehtimolliklari yig'indisi P ga teng bo'lgan tokenlar hisobga olinadi.
max_tokens——Model javobda yaratishi mumkin bo‘lgan tokenlar sonining yuqori chegarasi.
presence_penalty0—Agar token matnda allaqachon uchragan bo‘lsa, uning ehtimoli kamayadi — model yangi mavzularga osonroq o‘tadi.
frequency_penalty0—Token ehtimolini u qanchalik tez-tez uchraganiga proporsional ravishda kamaytiradi — takrorlanishlarga qarshi kurashadi.
stop——Cheklovchi satrlar ro‘yxati: model har qanday birini chiqarishi bilan generatsiya to‘xtatiladi.
seed——Tasodifiylikni qat'iy belgilaydi: bir xil seed va bir xil parametrlar bilan takroriy so‘rov bir xil natija beradi.
response_format——Javob formati: oddiy matn yoki berilgan sxema bo‘yicha qat'iy JSON.
streamfalse—Javobni generatsiya jarayonida oqim sifatida berish, oxirida bitta bo‘lak sifatida emas.
tools———
reasoning_effort—none, highAql darajasi: model javobdan oldin mulohaza qilish uchun qancha kuch sarflaydi. Yuqori daraja — chuqurroq tahlil, ko‘proq vaqt va tokenlar.
Language:РусскийEnglishУкраїнськаБеларускаяҚазақшаOʻzbekchaКыргызчаТоҷикӣՀայերենAzərbaycancaTürkmençeRomânăDeutschFrançaisEspañolItalianoPortuguêsPolskiNederlandsTürkçeΕλληνικά