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Llama 3.1 Tulu 3 405b

Tülu 3 405B is the largest model in the Tülu 3 family, applying fully open post-training recipes at a 405B parameter scale. Built on the Llama 3.1 405B base, it leverages Reinforcement Learning with Verifiable Rewards (RLVR) to enhance instruction following, MATH, GSM8K, and IFEval performance. As part of Tülu 3’s fully open-source approach, it offers state-of-the-art capabilities while surpassing prior open-weight models like Llama 3.1 405B Instruct and Nous Hermes 3 405B on multiple benchmarks. To read more, [click here.](https://allenai.org/blog/tulu-3-405B)

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

ProviderLallenai
Released2025年2月
Model IDllama-3.1-tulu-3-405b

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 Llama 3.1 Tulu 3 405b 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="llama-3.1-tulu-3-405b",
    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: "llama-3.1-tulu-3-405b",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Why use Llama 3.1 Tulu 3 405b 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 Llama 3.1 Tulu 3 405b?

Tülu 3 405B is the largest model in the Tülu 3 family, applying fully open post-training recipes at a 405B parameter scale. Built on the Llama 3.1 405B base, it leverages Reinforcement Learning with Verifiable Rewards (RLVR) to enhance instruction following, MATH, GSM8K, and IFEval performance. As part of Tülu 3’s fully open-source approach, it offers state-of-the-art capabilities while surpassing prior open-weight models like Llama 3.1 405B Instruct and Nous Hermes 3 405B on multiple benchmarks. To read more, [click here.](https://allenai.org/blog/tulu-3-405B)

How much does the Llama 3.1 Tulu 3 405b API cost?

Llama 3.1 Tulu 3 405b pricing is available on this page. BazaarLink bills in TWD with no additional markup over the provider's list price.

How do I use Llama 3.1 Tulu 3 405b with the OpenAI SDK?

Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "llama-3.1-tulu-3-405b". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.

What is the context window for Llama 3.1 Tulu 3 405b?

Llama 3.1 Tulu 3 405b supports a context window of 0 tokens.

Is Llama 3.1 Tulu 3 405b available for free?

Llama 3.1 Tulu 3 405b is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.

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