Context Window
300,000
Tokens
Model Cost Profile
Amazon: Nova Pro 1.0
Developer: amazon
Pricing updated Mar 10, 2026
Input rank: #235Output rank: #250
Amazon's Nova Pro 1.0 offers an extensive context window of 300,000 tokens, making it ideal for applications requiring in-depth analysis of large datasets, such as legal document review or comprehensive content generation. With an input price of $0.80 per million tokens and an output price of $3.20 per million tokens, teams can effectively budget for high-volume tasks while optimizing costs for both data ingestion and response generation. This model is particularly suited for enterprises that need to handle complex queries and generate detailed reports or summaries efficiently.
👁 Vision🔧 Tool Calling
Input Price / 1M
$0.8000
Prompt tokens
Output Price / 1M
$3.20
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.8000 |
| Output (Completion) | $3.20 |
Price History
Amazon: Nova Pro 1.0 Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 10
Current Input / 1M
$0.8000
Current Output / 1M
$3.20
Cost Calculator
Estimate monthly spend for Amazon: Nova Pro 1.0 based on your workload.
01.0B
0500M
Estimated Monthly Cost
$58
25M input + 12M output tokens
Cheaper Alternatives to Compare
Quick links for cost-down decisions before production rollout.
FAQ
Common pricing and benchmark questions for Amazon: Nova Pro 1.0.
How much does Amazon: Nova Pro 1.0 cost per 1M input tokens?
Amazon: Nova Pro 1.0 input pricing is $0.8000 per 1M tokens based on the latest synced provider data.
How much does Amazon: Nova Pro 1.0 cost per 1M output tokens?
Amazon: Nova Pro 1.0 output pricing is $3.20 per 1M tokens based on the latest synced provider data.
What context window does Amazon: Nova Pro 1.0 support?
Amazon: Nova Pro 1.0 supports a context window of 300,000 tokens.
How can I compare Amazon: Nova Pro 1.0 with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.