llama-3.2-1b-instruct

completions

bydeepinfra

llama-3.2-1b-instruct

completions

Published by: metaProvider:

deepinfra

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate efficiently in low-resource environments while maintaining strong task performance. Supporting eight core languages and fine-tunable for more, Llama 1.3B is ideal for businesses or developers seeking lightweight yet powerful AI solutions that can operate in diverse multilingual settings without the high computational demand of larger models. Click here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md). Usage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).

Context

131072

Input

<$0.01 / 1M tokens

Output

$0.01 / 1M tokens

Accepts: text

Returns: text

Context: 131072 Input: <$0.01 / 1M tokensOutput: $0.01 / 1M tokensAccepts: textReturns: text

Access llama-3.2-1b-instruct through LangDB AI Gateway

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Performance Analytics for llama-3.2-1b-instruct

Usage Statistics (Last 1 Days):

Total Requests: 2 API calls
Average TPS: 144.99 tokens per second
Average Response Time: 1158.70ms
Average Time to First Token: 215.50ms
Total Cost: $0.00
Average Request Cost: $0.0000

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/13/2025	2	144.99	1158.70ms	215.50ms	$0.00

Performance Summary:

Model: llama-3.2-1b-instruct by deepinfra

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

Average Daily Requests: 2

Peak Daily Requests: 2

Statistics

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Request Volume

Daily API requests

Performance (TPS)

Tokens per second

144.99 tokens/s

Code Examples

Integration samples and API usage

Code Samples for llama-3.2-1b-instruct

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="llama-3.2-1b-instruct",
    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: "llama-3.2-1b-instruct",
    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": "llama-3.2-1b-instruct",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: llama-3.2-1b-instruct

Provider: deepinfra

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

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llama-3.2-1b-instruct by deepinfra - AI Model Details, Pricing, and Performance Metrics

llama-3.2-1b-instruct

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Access llama-3.2-1b-instruct through LangDB AI Gateway

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