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Amazon: Nova Premier 1.0 API Pricing

Amazon: Nova Premier 1.0 costs $2.50 per 1M input tokens and $12.50 per 1M output tokens (cache reads: $0.625). Context window: 1M. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Intelligence & capability
via Artificial Analysis
9.2
Intelligence index · top 82% of 288 scored
$5
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$2.50
Output / 1M tokens
$12.50
Context window
1M
Max output
32K

Token economics

Token typePricevs base input
Standard input$2.50—
Cache read$0.625−75%
Output$12.50—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

What would Amazon: Nova Premier 1.0 cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$70.00
Coding agent5,0008,000 / 2,000$225.00
RAG pipeline30,0004,000 / 500$487.50
Doc summarizer2,00020,000 / 1,000$125.00

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Amazon: Nova Premier 1.0

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

Compare Amazon: Nova Premier 1.0 with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Amazon: Nova Premier 1.0 cost?

Amazon: Nova Premier 1.0 costs $2.50 per 1M input tokens and $12.50 per 1M output tokens; cached input tokens cost $0.625 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

1M tokens, with up to 32K output tokens per response. That's roughly 1250 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.625/1M, about 75% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.

Official resources