llama3-8b-instruct-v1.0

completions

bybedrock

llama3-8b-instruct-v1.0

completions

Published by: metaProvider:

bedrock

ideal for limited computational power and resources, and edge devices. The model excels at text summarization, text classification, sentiment analysis, and language translation.

Context

32K

Input

$0.3 / 1M tokens

Output

$0.6 / 1M tokens

Accepts: text

Returns: text

Context: 32K Input: $0.3 / 1M tokensOutput: $0.6 / 1M tokensAccepts: textReturns: text

Access llama3-8b-instruct-v1.0 through LangDB AI Gateway

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Integrate with meta's llama3-8b-instruct-v1.0 and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

Unified API

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99.9% Uptime

10,000+Monthly Requests

Performance Analytics for llama3-8b-instruct-v1.0

Usage Statistics (Last 2 Days):

Total Requests: 3 API calls
Average TPS: 159.28 tokens per second
Average Response Time: 5275.90ms
Average Time to First Token: 123.90ms
Total Cost: $0.00
Average Request Cost: $0.0005

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/14/2025	2	153.24	6679.10ms	119.40ms	$0.00
9/19/2025	1	191.93	2469.60ms	132.70ms	$0.00

Performance Summary:

Model: llama3-8b-instruct-v1.0 by bedrock

Monitoring Period: 9/13/2025 to 9/20/2025

Average Daily Requests: 2

Peak Daily Requests: 2

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

159.28 tokens/s

Code Examples

Integration samples and API usage

Code Samples for llama3-8b-instruct-v1.0

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="llama3-8b-instruct-v1.0",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "llama3-8b-instruct-v1.0",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama3-8b-instruct-v1.0",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: llama3-8b-instruct-v1.0

Provider: bedrock

API Endpoint: $https://api.us-east-1.langdb.ai

Create API Key

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llama3-8b-instruct-v1.0 by bedrock - AI Model Details, Pricing, and Performance Metrics

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Access llama3-8b-instruct-v1.0 through LangDB AI Gateway

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