LLM Reference
AWS Bedrock

Using Palmyra X5 on AWS Bedrock

Implementation guide · Palmyra X · Writer

Serverless

AWS Bedrock exposes Palmyra X5 through model ID palmyra-x5. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-10. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at AWS Bedrock and generate an API key.
  2. 2
    Use the AWS Bedrock SDK or REST API to call palmyra-x5 — see the documentation for request format.
  3. 3
    You'll be billed $0.60/1M input, $6.00/1M output tokens. See full pricing.

Code Examples

Install
pip install boto3
API key
AWS_ACCESS_KEY_ID
Model ID
palmyra-x5

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.

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="palmyra-x5",
    messages=[{
        "role": "user",
        "content": [{"text": "Hello"}]
    }]
)
print(response["output"]["message"]["content"][0]["text"])

Pricing on AWS Bedrock

TypePrice (per 1M)
Input tokens$0.60
Output tokens$6.00

Capabilities

VisionMultimodalJSON / Tool useStructured Outputs

About Palmyra X5

Writer lists Palmyra X5 as an active AI Studio API model with text and image input, a 1M-token context window, and an 8,192-token output limit. Its documented capabilities map to Agents, Long context, Vision, and JSON / Tool use.

Model Specs

Released2026-02-01
Context1m
ArchitectureDecoder Only

Provider

AWS Bedrock
AWS Bedrock

Amazon Web Services

Seattle, Washington, United States