A rate per million tokens is not a budget. The calculator takes your request volume, prompt size and cache hit rate and gives you a monthly figure.
Amazon Nova Pro API pricing (October 2026)
What it costs at real volumes
A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.
Specifications
- Provider
- Amazon Bedrock
- Context window
- 300K tokens
- Max output
- 5.0K tokens
- Tier
- Workhorse
- Status
- GA
- Blended $/1M (3:1)
- $1.40
- Cache break-even, caching each turn
- 0%, caching always saves
- Prices verified
- 30 Oct 2026
Source: Amazon Bedrock pricing. Finitizer is not affiliated with Amazon Bedrock.
Similar models
Other Nova models
- Amazon Nova 2 Lite-$0.550
- Amazon Nova Premier+$3.60
- Amazon Nova Lite-$1.30
- Amazon Nova Micro-$1.34
Closest prices elsewhere
- Gemini 3.8 Flash+$0.100
- Mistral Large 4-$0.350
- DeepSeek V4 Pro-$0.410
- Gemini 3.5 Flash-Lite-$0.550
Frequently asked questions
How much does Amazon Nova Pro cost per 1M tokens?
Amazon Nova Pro costs $0.800 per million input tokens and $3.20 per million output tokens at Amazon Bedrock list prices. Output is 4.0x the input rate, so the input:output ratio of a workload drives the real cost more than the headline price.
Does Amazon Nova Pro support prompt caching?
Yes. Cached input is billed at $0.200 per million tokens, 4x cheaper than uncached input. There is no cache-write premium, so caching is never a net loss.
What is the batch discount for Amazon Nova Pro?
Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $0.400 and output to $1.60 per million tokens.
What is Amazon Nova Pro's context window?
300K tokens of context with up to 5.0K output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token, but filling it on every request is one of the most common causes of an unexpected bill.
Running Amazon Nova Pro in production?
Finitizer Tokenomics reads what this model actually costs you from your own bills and exports, shows which workload, team or API key is spending it, flags a spike or a new spend source the day your data shows it, and forecasts where the month will land.
See Finitizer Tokenomics