LLM Reference
AWS Bedrock

Llama 3.2 11B Instruct on AWS Bedrock

Llama 3.2 · AI at Meta

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Last refreshed 2026-05-22. Next refresh: weekly.

Why use Llama 3.2 11B Instruct on AWS Bedrock?

AWS Bedrock offers Llama 3.2 11B Instruct with pay-as-you-go pricing at $0.20/1M input tokens. AWS Bedrock is Amazon's fully managed foundation-model service, providing unified API access to top models from Anthropic, Meta, Mistral, and other leading AI labs with built-in tools for RAG, fine-tuning, and AI agent development.

Input / 1M
$0.20
Output / 1M
$0.27
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install boto3
Auth
export AWS_ACCESS_KEY_ID=...
Call
import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="llama-3-2-11b-instruct",
Model ID
llama-3-2-11b-instruct

Request example

import boto3

# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="llama-3-2-11b-instruct",
    messages=[{
        "role": "user",
        "content": [{"text": "Hello"}]
    }]
)
print(response["output"]["message"]["content"][0]["text"])

Gotchas

  • Use Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.
  • The endpoint template includes a region segment; set the same region in your SDK/client configuration.
  • The examples expect AWS_ACCESS_KEY_ID; rename it only if your application config maps the new variable.

Pricing

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.27

Capabilities

Structured Outputs

About Llama 3.2 11B Instruct

Llama 3.2 11B Instruct is Meta's Llama 3.2 model. Its knowledge cutoff is 2023-12.

FAQ

What does Llama 3.2 11B Instruct cost on AWS Bedrock?

On AWS Bedrock, Llama 3.2 11B Instruct costs $0.20 per 1M input tokens and $0.27 per 1M output tokens.

What is the context window for Llama 3.2 11B Instruct on AWS Bedrock?

Llama 3.2 11B Instruct supports a 128,000 token context window on AWS Bedrock.

Who created Llama 3.2 11B Instruct?

Llama 3.2 11B Instruct was created by AI at Meta as part of the Llama 3.2 model family.

Is Llama 3.2 11B Instruct open source?

Llama 3.2 11B Instruct is not open source; the seed data lists it as proprietary.

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Model Specs

Released2025-09-01
Parameters11B
Context128K
Knowledge cutoff2023-12