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Deepseek R1 Distill Llama 8b

DeepSeek R1 Distill Llama 8B is a distilled large language model based on [Llama-3.1-8B-Instruct](/meta-llama/llama-3.1-8b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across multiple benchmarks, including: - AIME 2024 pass@1: 50.4 - MATH-500 pass@1: 89.1 - CodeForces Rating: 1205 The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models. Hugging Face: - [Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) - [DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B) |

Pricing

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

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

ProviderDDeepSeek
Released2025年2月
Model IDdeepseek-r1-distill-llama-8b

Technical specifications

Context window
— 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 Distill Llama 8b 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-distill-llama-8b",
    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-distill-llama-8b",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Why use Deepseek R1 Distill Llama 8b 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 Distill Llama 8b?

DeepSeek R1 Distill Llama 8B is a distilled large language model based on [Llama-3.1-8B-Instruct](/meta-llama/llama-3.1-8b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across multiple benchmarks, including: - AIME 2024 pass@1: 50.4 - MATH-500 pass@1: 89.1 - CodeForces Rating: 1205 The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models. Hugging Face: - [Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) - [DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B) |

How much does the Deepseek R1 Distill Llama 8b API cost?

Deepseek R1 Distill Llama 8b 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 Llama 8b with the OpenAI SDK?

Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "deepseek-r1-distill-llama-8b". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.

What is the context window for Deepseek R1 Distill Llama 8b?

Deepseek R1 Distill Llama 8b supports a context window of 0 tokens.

Is Deepseek R1 Distill Llama 8b available for free?

Deepseek R1 Distill Llama 8b is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.

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