Amazon Nova 2.5 Sonic on AWS Bedrock

Nova · Amazon Web Services (AWS) AI

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Last refreshed 2026-10-06. Next refresh: weekly.

Why use Amazon Nova 2.5 Sonic on AWS Bedrock?

AWS Bedrock offers Amazon Nova 2.5 Sonic with competitive pricing. 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.

Input / 1M
-
Output / 1M
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Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install boto3
Auth
export AWS_ACCESS_KEY_ID=...
Call
import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="nova-2-5-sonic",
Model ID
nova-2-5-sonic

Request 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="nova-2-5-sonic",
    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.

Pricing

TypePrice (per 1M)
Audio input$1.00

Capabilities

JSON / Tool useAudio

About Amazon Nova 2.5 Sonic

Amazon Nova 2.5 Sonic is Amazon's speech-to-speech model for real-time voice agents, generally available on Amazon Bedrock from 5 October 2026. It improves reasoning, instruction following and tool-calling accuracy over Nova 2 Sonic, with lower latency, seven languages, voice and text in one session, asynchronous tool calling and a 256K context window.

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