Qwen2.5 Coder 7b Instruct
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.
Pricing
💱 匯率 USD/NTD = 32.34 · 不含稅 · 更新於 2026/07/22
Technical specifications
Quick Start
Use Qwen2.5 Coder 7b Instruct via BazaarLink API — just change the base_url:
from openai import OpenAI
client = OpenAI(
base_url="https://bazaarlink.ai/api/v1",
api_key="sk-bl-YOUR_API_KEY",
)
response = client.chat.completions.create(
model="qwen2.5-coder-7b-instruct",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://bazaarlink.ai/api/v1",
apiKey: "sk-bl-YOUR_API_KEY",
});
const response = await client.chat.completions.create({
model: "qwen2.5-coder-7b-instruct",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Why use Qwen2.5 Coder 7b Instruct via BazaarLink?
- ✓USD billing (TWD-quoted) + unified invoices — no foreign credit card needed for Taiwan teams
- ✓OpenAI-compatible API — zero code changes required
- ✓Automatic failover — multi-provider redundancy for the same model
- ✓Chinese-language support — local team, instant help
Frequently Asked Questions
What is Qwen2.5 Coder 7b Instruct?
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.
How much does the Qwen2.5 Coder 7b Instruct API cost?
Qwen2.5 Coder 7b Instruct costs $0.0300 per 1K input tokens and $0.0900 per 1K output tokens when accessed through BazaarLink.
How do I use Qwen2.5 Coder 7b Instruct with the OpenAI SDK?
Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "qwen2.5-coder-7b-instruct". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.
What is the context window for Qwen2.5 Coder 7b Instruct?
Qwen2.5 Coder 7b Instruct supports a context window of 131,072 tokens.
Is Qwen2.5 Coder 7b Instruct available for free?
Qwen2.5 Coder 7b Instruct is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.