Qwen: Qwen2.5 Coder 7B Instruct

33K

Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE, SwiGLU, RMSNorm, and GQA attention with support for up to 128K tokens using YaRN-based extrapolation. It is trained on a large corpus of source code, synthetic data, and text-code grounding, providing robust performance across programming languages and agentic coding workflows. This model is part of the Qwen2.5-Coder family and offers strong compatibility with tools like vLLM for efficient deployment. Released under the Apache 2.0 license.

OpenRouter 원가 (1M 토큰)

입력$0.030

출력$0.090

합계$0.120

인보이스랩 (월 예상)

입력 0.5M + 출력 0.5M 기준

공급가액₩99

부가세 (10%)₩9

결제 금액₩109

💡 부가세 ₩9 매입공제 가능

모델 정보

기본 정보

모델 ID	qwen/qwen2.5-coder-7b-instruct
제공사	Alibaba Qwen
컨텍스트 윈도우	32,768 토큰
모달리티	text->text

지원 기능

📋 Structured Output📄 JSON Mode🌡️ Temperature📏 Max Tokens

API 사용법

Python (OpenAI SDK 호환)

from openai import OpenAI

client = OpenAI(
    api_key="your-dream-api-key",
    base_url="https://api.invoicedream.co.kr/v1"
)

response = client.chat.completions.create(
    model="qwen/qwen2.5-coder-7b-instruct",
    messages=[
        {"role": "user", "content": "안녕하세요"}
    ]
)

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

Node.js / TypeScript

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your-dream-api-key',
  baseURL: 'https://api.invoicedream.co.kr/v1'
});

const response = await client.chat.completions.create({
  model: 'qwen/qwen2.5-coder-7b-instruct',
  messages: [{ role: 'user', content: '안녕하세요' }]
});

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

cURL

curl https://api.invoicedream.co.kr/v1/chat/completions \
  -H "Authorization: Bearer your-dream-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen2.5-coder-7b-instruct",
    "messages": [{"role": "user", "content": "안녕하세요"}]
  }'

💡 Tip: OpenAI SDK를 그대로 사용할 수 있습니다.base_url만 변경하면 됩니다!