Last refreshed 2026-06-01. Next refresh: weekly.
Why use Llama 3.2 11B Vision Instruct on AWS Bedrock?
AWS Bedrock offers Llama 3.2 11B Vision 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.
Compare Llama 3.2 11B Vision Instruct across 8 providers to find the best fit for your use caseSetup recipe
Python + curlpip install boto3export AWS_ACCESS_KEY_ID=...import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="llama-3.2-11b-vision-instruct",llama-3.2-11b-vision-instructRequest 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-vision-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.
Compare Llama 3.2 11B Vision Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | $0.05 | $0.68 |
| OpenRouter | $0.24 | $0.24 |
| Fireworks AI | $0.20 | $0.20 |
| NVIDIA NIM | — | — |
| Bitdeer AI | $0.15 | $0.45 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.27 |
Capabilities
About Llama 3.2 11B Vision Instruct
Instruction-tuned 11B Llama 3.2 Vision model for image reasoning, visual question answering, document understanding, and captioning. NVIDIA NIM lists text plus image input, text output, and a 128K context window for the Llama 3.2 Vision collection.
FAQ
What does Llama 3.2 11B Vision Instruct cost on AWS Bedrock?
On AWS Bedrock, Llama 3.2 11B Vision 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 Vision Instruct on AWS Bedrock?
Llama 3.2 11B Vision Instruct supports a 128k token context window on AWS Bedrock.
How does AWS Bedrock compare to other Llama 3.2 11B Vision Instruct providers?
Llama 3.2 11B Vision Instruct is available from 8 providers. The cheapest input pricing is $0.049/1M tokens from Cloudflare Workers AI.
Who created Llama 3.2 11B Vision Instruct?
Llama 3.2 11B Vision Instruct was created by AI at Meta as part of the Llama 3.2 model family.
Is Llama 3.2 11B Vision Instruct open source?
Llama 3.2 11B Vision Instruct has open weights under Llama 3 Community according to the seed data, but that does not necessarily mean an OSI-approved open-source license.