Last refreshed 2026-06-15. Next refresh: weekly.
Why use Jurassic-2 Ultra on AWS Bedrock?
AWS Bedrock offers Jurassic-2 Ultra with pay-as-you-go pricing at $18.80/1M 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 Jurassic-2 Ultra 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="jurassic-2-ultra",jurassic-2-ultraRequest 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="jurassic-2-ultra",
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 Jurassic-2 Ultra Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | $18.80 | $18.80 |
| AI21 Studio | $18.80 | $18.80 |
Pricing
| 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.