LLM Reference
AWS Bedrock

Llama 3.2 90B Vision on AWS Bedrock

Llama 3.2 · AI at Meta

ServerlessOpen Source

Last refreshed 2026-05-11. Next refresh: weekly.

Why use Llama 3.2 90B Vision on AWS Bedrock?

AWS Bedrock offers Llama 3.2 90B Vision with pay-as-you-go pricing at $1.35/1M 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
$1.35
Output / 1M
$1.80
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-3.2-90b-vision",
Model ID
llama-3.2-90b-vision

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-3.2-90b-vision",
    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$1.35
Output tokens$1.80

Capabilities

VisionStructured Outputs

About Llama 3.2 90B Vision

Advanced multimodal model with image reasoning, visual question answering, and document analysis

FAQ

What does Llama 3.2 90B Vision cost on AWS Bedrock?

On AWS Bedrock, Llama 3.2 90B Vision costs $1.35 per 1M input tokens and $1.8 per 1M output tokens.

What is the context window for Llama 3.2 90B Vision on AWS Bedrock?

Llama 3.2 90B Vision supports a 128k token context window on AWS Bedrock.

Who created Llama 3.2 90B Vision?

Llama 3.2 90B Vision was created by AI at Meta as part of the Llama 3.2 model family.

Is Llama 3.2 90B Vision open source?

Llama 3.2 90B Vision is open source according to the seed data.

Get Started

Model Specs

Released2024-09-25
Parameters88.8B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2024-03