AWS Bedrock exposes Jurassic-2 Ultra through model ID jurassic-2-ultra. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the AWS Bedrock SDK or REST API to call
jurassic-2-ultra— see the documentation for request format. - 3
Code Examples
pip install boto3AWS_ACCESS_KEY_IDjurassic-2-ultraUse 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.
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="jurassic-2-ultra",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Pricing on AWS Bedrock
| Type | Price (per 1M) |
|---|---|
| Input tokens | $18.80 |
| Output tokens | $18.80 |
Capabilities
About Jurassic-2 Ultra
Jurassic-2 Ultra by AI21 Labs is their most advanced large language model, designed for intricate text generation tasks that demand high-quality output. It is specifically optimized for "zero-shot" prompts, meaning it performs well without requiring example inputs—making it perfect for chatbot and conversational applications. As the flagship model in the Jurassic series, it features over 60 billion parameters and supports multiple languages such as English, Spanish, and French. While its primary strengths are in text completion, generation, and summarization, it also excels in tasks like question answering and advanced information extraction.