Migration assistant

Replacing Amazon Nova Sonic?

Ranked replacement candidates, each shown with exactly what changes if you switch. Same-provider matches surface first because switching cost is lower; capability regressions are flagged in red.

AB
Migrating from

Amazon Nova Sonic

AWS Bedrock · Amazon Nova · Active
Input: —/M Output: —/M Context: 300K
View detail →
#1 RECOMMENDED

Amazon Nova Lite

AWS Bedrock · Amazon Nova
same provider; same family; same context window; loses 1 capability
View full detail →
What changes if you switch
Field Amazon Nova Sonic Amazon Nova Lite Impact
Input price $0.06/M Source price not verified
Output price $0.24/M Source price not verified
Context window 300K tokens 300K tokens Same capacity
Audio input ✓ supported ✗ not supported LOST — re-evaluate before switching
Function calling ✓ supported ✓ supported Preserved
Lifecycle Active Active Same status
Other candidates
#2

Amazon Nova Premier

AWS Bedrock
same provider; same family; 1M context (larger); loses 1 capability
Details →
Context window: +233% largerAudio input: LOST — re-evaluate before switching
#3

Amazon Nova Pro

AWS Bedrock
same provider; same family; same context window; loses 1 capability
Details →
Audio input: LOST — re-evaluate before switching
#4

Amazon Nova Canvas

AWS Bedrock
same provider; same family; loses 2 capabilities
Details →
Audio input: LOST — re-evaluate before switchingFunction calling: LOST — re-evaluate before switching
#5

Amazon Nova Micro

AWS Bedrock
same provider; same family; smaller context (128K); loses 1 capability
Details →
Context window: 57% smallerAudio input: LOST — re-evaluate before switching
Methodology

How candidates are ranked

Candidates are ranked by how much of the source model's profile each one preserves — weighing switching cost (same provider or model family surface first), capability parity (what you keep versus what you'd lose), context window, and pricing direction. A candidate that is itself deprecated is pushed down the list; one that's already retired is never recommended.

Ranking is purely algorithmic — no editorial weighting, no paid placement. Every value is pulled from each provider's own documentation; click any model name to see the source-linked detail.