AWS Bedrock exposes Jurassic-2 Mid through model ID jurassic-2-mid. 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-mid— see the documentation for request format. - 3
Code Examples
pip install boto3AWS_ACCESS_KEY_IDjurassic-2-midUse 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-mid",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Pricing on AWS Bedrock
| Type | Price (per 1M) |
|---|---|
| Input tokens | $12.50 |
| Output tokens | $12.50 |
Capabilities
About Jurassic-2 Mid
Jurassic-2 Mid, developed by AI21 Labs, is a large language model that balances quality, speed, and cost, making it well-suited for complex language tasks such as chatbots and conversational interfaces. It has a parameter size of 17 billion and supports multiple languages including Spanish, French, German, Portuguese, Italian, and Dutch. Optimized for generating precise text from instruction-only prompts, the model is capable of zero-shot text generation without requiring examples. Despite its powerful capabilities, it shares common limitations with other LLMs, such as potential inaccuracies, lack of coherence, and the presence of training data biases.