Last refreshed 2026-05-19. Next refresh: weekly.
Why use Llama 3.2 1B Instruct on AWS Bedrock?
AWS Bedrock offers Llama 3.2 1B Instruct with pay-as-you-go pricing at $0.10/1M 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 1B 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-3.2-1b-instruct",llama-3.2-1b-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-3.2-1b-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 1B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $0.03 | $0.20 |
| Fireworks AI | $0.10 | $0.10 |
| NVIDIA NIM | — | — |
| Bitdeer AI | $0.15 | $0.45 |
| AWS Bedrock | $0.10 | $0.10 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.10 |
Capabilities
About Llama 3.2 1B Instruct
Llama 3.2 1B Instruct is Meta's Llama 3.2 model. It offers a 128K-token context window with weights openly available for self-hosting and scores 25.6 on GPQA.
FAQ
What does Llama 3.2 1B Instruct cost on AWS Bedrock?
On AWS Bedrock, Llama 3.2 1B Instruct costs $0.10 per 1M input tokens and $0.10 per 1M output tokens.
What is the context window for Llama 3.2 1B Instruct on AWS Bedrock?
Llama 3.2 1B Instruct supports a 128k token context window on AWS Bedrock.
How does AWS Bedrock compare to other Llama 3.2 1B Instruct providers?
Llama 3.2 1B Instruct is available from 6 providers. The cheapest input pricing is $0.027/1M tokens from OpenRouter.
Who created Llama 3.2 1B Instruct?
Llama 3.2 1B Instruct was created by AI at Meta as part of the Llama 3.2 model family.
Is Llama 3.2 1B Instruct open source?
Llama 3.2 1B Instruct is open source according to the seed data.