BazaarLinkBazaarLink
Sign in
L

Llama3.1 Typhoon2 8b Instruct

Llama3.1-Typhoon2-8B-Instruct is a Thai-English instruction-tuned model with 8 billion parameters, built on Llama 3.1. It significantly improves over its base model in Thai reasoning, instruction-following, and function-calling tasks, while maintaining competitive English performance. The model is optimized for bilingual interaction and performs well on Thai-English code-switching, MT-Bench, IFEval, and tool-use benchmarks. Despite its smaller size, it demonstrates strong generalization across math, coding, and multilingual benchmarks, outperforming comparable 8B models across most Thai-specific tasks. Full benchmark results and methodology are available in the [technical report.](https://arxiv.org/abs/2412.13702)

Pricing

Input Price
/ 1M tokens
Output Price
/ 1M tokens
Context Window
8K
tokens

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

ProviderLscb10x
Released2025年3月
Model IDllama3.1-typhoon2-8b-instruct

Technical specifications

Context window
8K 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 Llama3.1 Typhoon2 8b Instruct 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="llama3.1-typhoon2-8b-instruct",
    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: "llama3.1-typhoon2-8b-instruct",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Why use Llama3.1 Typhoon2 8b 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
Try Now← All Models

Frequently Asked Questions

What is Llama3.1 Typhoon2 8b Instruct?

Llama3.1-Typhoon2-8B-Instruct is a Thai-English instruction-tuned model with 8 billion parameters, built on Llama 3.1. It significantly improves over its base model in Thai reasoning, instruction-following, and function-calling tasks, while maintaining competitive English performance. The model is optimized for bilingual interaction and performs well on Thai-English code-switching, MT-Bench, IFEval, and tool-use benchmarks. Despite its smaller size, it demonstrates strong generalization across math, coding, and multilingual benchmarks, outperforming comparable 8B models across most Thai-specific tasks. Full benchmark results and methodology are available in the [technical report.](https://arxiv.org/abs/2412.13702)

How much does the Llama3.1 Typhoon2 8b Instruct API cost?

Llama3.1 Typhoon2 8b Instruct pricing is available on this page. BazaarLink bills in TWD with no additional markup over the provider's list price.

How do I use Llama3.1 Typhoon2 8b Instruct with the OpenAI SDK?

Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "llama3.1-typhoon2-8b-instruct". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.

What is the context window for Llama3.1 Typhoon2 8b Instruct?

Llama3.1 Typhoon2 8b Instruct supports a context window of 8,192 tokens.

Is Llama3.1 Typhoon2 8b Instruct available for free?

Llama3.1 Typhoon2 8b Instruct is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.

中轉站誠信檢測 · BazaarLink 獨家

尚無此模型的檢測資料

BazaarLink Probe 對聲稱提供此模型的 endpoint 進行家族指紋驗證與 V3 子模型對照。 如發現行為與真貨基準不符,會列入異常案例。

查看完整檢測報告 →

Related Models & Links

All ModelsAPI DocumentationAPI Latency Probe
Support
Support
Hi! How can we help you?
Send a message and we'll get back to you soon.