Model Cost Profile

Amazon: Nova Premier 1.0

Developer: amazon

Pricing updated Mar 10, 2026

Input rank: #293Output rank: #308

Live Pricing

Input: $2.50

Output: $12.50

Pricing via OpenRouter API ยท Last synced Mar 10, 2026

Amazon's Nova Premier 1.0 offers a substantial context window of 1,000,000 tokens, making it ideal for applications requiring extensive data processing, such as large-scale document analysis and complex conversational agents. With an input price of $2.50 per million tokens and an output price of $12.50 per million tokens, teams can effectively budget for projects that demand high-volume text generation or comprehension tasks. This model is particularly suited for enterprises needing to optimize costs while managing large datasets in real-time applications.

๐Ÿ‘ Vision๐Ÿ”ง Tool Calling

Context Window

1,000,000

Tokens

Input Price / 1M

$2.50

Prompt tokens

Output Price / 1M

$12.50

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Amazon: Nova Premier 1.0 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 10
$2.50$7.50$12.50Mar 7Mar 8Mar 9Mar 10

Current Input / 1M

$2.50

Current Output / 1M

$12.50

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Amazon: Nova Premier 1.0.

How much does Amazon: Nova Premier 1.0 cost per 1M input tokens?

Amazon: Nova Premier 1.0 input pricing is $2.50 per 1M tokens based on the latest synced provider data.

How much does Amazon: Nova Premier 1.0 cost per 1M output tokens?

Amazon: Nova Premier 1.0 output pricing is $12.50 per 1M tokens based on the latest synced provider data.

What context window does Amazon: Nova Premier 1.0 support?

Amazon: Nova Premier 1.0 supports a context window of 1,000,000 tokens.

How can I compare Amazon: Nova Premier 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.