Deepseek R1 Distill Qwen 7b
DeepSeek-R1-Distill-Qwen-7B is a 7 billion parameter dense language model distilled from DeepSeek-R1, leveraging reinforcement learning-enhanced reasoning data generated by DeepSeek's larger models. The distillation process transfers advanced reasoning, math, and code capabilities into a smaller, more efficient model architecture based on Qwen2.5-Math-7B. This model demonstrates strong performance across mathematical benchmarks (92.8% pass@1 on MATH-500), coding tasks (Codeforces rating 1189), and general reasoning (49.1% pass@1 on GPQA Diamond), achieving competitive accuracy relative to larger models while maintaining smaller inference costs.
Pricing
💱 匯率 USD/NTD = 32.34 · 不含稅 · 更新於 2026/07/22
Technical specifications
Quick Start
Use Deepseek R1 Distill Qwen 7b 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="deepseek-r1-distill-qwen-7b",
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: "deepseek-r1-distill-qwen-7b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Why use Deepseek R1 Distill Qwen 7b 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 Deepseek R1 Distill Qwen 7b?
DeepSeek-R1-Distill-Qwen-7B is a 7 billion parameter dense language model distilled from DeepSeek-R1, leveraging reinforcement learning-enhanced reasoning data generated by DeepSeek's larger models. The distillation process transfers advanced reasoning, math, and code capabilities into a smaller, more efficient model architecture based on Qwen2.5-Math-7B. This model demonstrates strong performance across mathematical benchmarks (92.8% pass@1 on MATH-500), coding tasks (Codeforces rating 1189), and general reasoning (49.1% pass@1 on GPQA Diamond), achieving competitive accuracy relative to larger models while maintaining smaller inference costs.
How much does the Deepseek R1 Distill Qwen 7b API cost?
Deepseek R1 Distill Qwen 7b pricing is available on this page. BazaarLink bills in TWD with no additional markup over the provider's list price.
How do I use Deepseek R1 Distill Qwen 7b with the OpenAI SDK?
Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "deepseek-r1-distill-qwen-7b". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.
What is the context window for Deepseek R1 Distill Qwen 7b?
Deepseek R1 Distill Qwen 7b supports a context window of 131,072 tokens.
Is Deepseek R1 Distill Qwen 7b available for free?
Deepseek R1 Distill Qwen 7b is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.