Last refreshed 2026-07-26. Next refresh: weekly.
Why use Claude 2.1 on AWS Bedrock?
AWS Bedrock offers Claude 2.1 with pay-as-you-go pricing at $8.00/1M 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 Claude 2.1 across 2 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="claude-2.1",claude-2.1Request 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="claude-2.1",
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 Claude 2.1 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | $8.00 | $24.00 |
| Anthropic | $8.00 | $24.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $8.00 |
| Output tokens | $24.00 |
Capabilities
About Claude 2.1
Claude 2.1, developed by Anthropic, is a cutting-edge large language AI model that significantly advances conversational AI. It features an impressive 200,000-token context window, allowing for the processing of extensive documents, surpassing the capabilities of many rivals. A notable improvement in Claude 2.1 is the reduction in hallucination rates, halving false statements compared to Claude 2.0, resulting in more accurate outputs. Additionally, it offers enhanced comprehension and summarization abilities, particularly for complex texts. The model includes a beta API integration feature, increasing its utility in various workflows. While its progress is notable, ongoing enhancements and user feedback remain vital.