NeuralBridgeDocumentation

Qwen3 Coder Plus

unofficialchat
DeveloperQwen
Identifierqwen/qwen3-coder-plus-12544

Qwen3 Coder Plus specifications

Context window1M
Max output tokens65536
Release date—
InputText
OutputText

Qwen3 Coder Plus 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 tokens35,88 ₽ per 1M tokens
Output tokens251,16 ₽ per 1M tokens

Prices are in rubles and may change with exchange rates.

What Qwen3 Coder Plus can do

Qwen3 Coder Plus 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-coder-plus-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-coder-plus-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-coder-plus-12544",
    "messages": [{"role": "user", "content": "Привет! Расскажи о себе."}]
  }'

API endpoints

POST /v1/chat/completionsprimaryChat Completions
The main chat endpoint: takes a message history and returns the model reply. Supports streaming and regular modes.
POST /v1/responsesResponses
Alternative chat format with state and structured output.
POST /v1/messagesMessages
Anthropic format: the same chat for clients and SDKs written for Claude.
POST /v1/converseConverse
Amazon Bedrock Converse format, for clients written against it.
POST /v1/converse-streamConverse Stream
Streaming variant of the Bedrock Converse format.
POST /v1/generateContentGenerate Content
Google Gemini format, for clients and SDKs written against it.
POST /v1/streamGenerateContentStream Generate Content
Streaming variant of the Gemini format.

Supported request parameters

ParameterDefaultAllowed valuesDescription
temperature1—Controls how varied the answer is: higher values make the output more random, lower values more predictable.
top_p1—Nucleus sampling: only the most probable tokens whose probabilities add up to P are considered.
max_tokens——Upper limit on the number of tokens the model may generate in its answer.
presence_penalty0—Penalizes tokens that already appeared in the text, nudging the model toward new topics.
frequency_penalty0—Penalizes tokens in proportion to how often they already appeared — fights repetition.
stop——List of stop strings: generation halts as soon as the model produces any of them.
seed——Pins randomness: repeating a request with the same seed and parameters returns the same result.
response_format——Response format: plain text or strict JSON following a given schema.
streamfalse—Deliver the answer as a stream while it is generated instead of one chunk at the end.
tools———
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