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Deepseek R1 Zero

DeepSeek-R1-Zero is a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step. It's 671B parameters in size, with 37B active in an inference pass. It demonstrates remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. See [DeepSeek R1](/deepseek/deepseek-r1) for the SFT model.

Pricing

Input Price
/ 1M tokens
Output Price
/ 1M tokens
Context Window
164K
tokens

💱 匯率 USD/NTD = 32.34 · 不含稅 · 更新於 2026/07/22

ProviderDDeepSeek
Released2025年3月
Model IDdeepseek-r1-zero

Technical specifications

Context window
164K tokens
Reasoning
Input
Text
Output
Text
!
此模型已下架 — API 呼叫會回傳 HTTP 410,但本頁面保留以利歷史查詢

Quick Start

Use Deepseek R1 Zero via BazaarLink API — just change the base_url:

Python
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-zero",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
TypeScript
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-zero",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Why use Deepseek R1 Zero 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
Try Now← All Models

Frequently Asked Questions

What is Deepseek R1 Zero?

DeepSeek-R1-Zero is a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step. It's 671B parameters in size, with 37B active in an inference pass. It demonstrates remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. See [DeepSeek R1](/deepseek/deepseek-r1) for the SFT model.

How much does the Deepseek R1 Zero API cost?

Deepseek R1 Zero 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 Zero with the OpenAI SDK?

Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "deepseek-r1-zero". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.

What is the context window for Deepseek R1 Zero?

Deepseek R1 Zero supports a context window of 163,840 tokens.

Is Deepseek R1 Zero available for free?

Deepseek R1 Zero is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.

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