Last refreshed 2026-06-01. Next refresh: weekly.
Why use Llama 3.2 90B Vision Instruct on AWS Bedrock?
AWS Bedrock offers Llama 3.2 90B Vision Instruct 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.
Compare Llama 3.2 90B Vision Instruct across 6 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-3.2-90b-vision-instruct",llama-3.2-90b-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-3.2-90b-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 90B Vision Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.90 | $0.90 |
| NVIDIA NIM | — | — |
| Bitdeer AI | $0.15 | $0.45 |
| AWS Bedrock | $1.35 | $1.80 |
| Microsoft Foundry | $2.04 | $2.04 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.35 |
| Output tokens | $1.80 |
Capabilities
About Llama 3.2 90B Vision Instruct
Instruction-tuned 90B Llama 3.2 Vision model for higher-capability image reasoning, visual question answering, visual grounding, 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 90B Vision Instruct cost on AWS Bedrock?
On AWS Bedrock, Llama 3.2 90B Vision Instruct costs $1.35 per 1M input tokens and $1.80 per 1M output tokens.
What is the context window for Llama 3.2 90B Vision Instruct on AWS Bedrock?
Llama 3.2 90B Vision Instruct supports a 128k token context window on AWS Bedrock.
How does AWS Bedrock compare to other Llama 3.2 90B Vision Instruct providers?
Llama 3.2 90B Vision Instruct is available from 6 providers. The cheapest input pricing is $0.15/1M tokens from Bitdeer AI.
Who created Llama 3.2 90B Vision Instruct?
Llama 3.2 90B Vision Instruct was created by AI at Meta as part of the Llama 3.2 model family.
Is Llama 3.2 90B Vision Instruct open source?
Llama 3.2 90B 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.