Context Window

Compare

Amazon Nova 2 Pro Preview 20251202 vs Apac Amazon Nova 2 Lite

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Amazon

Model

Amazon Nova 2 Pro Preview 20251202

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Amazon

Model

Apac Amazon Nova 2 Lite

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

Amazon Nova 2 Pro Preview 202512021M
Apac Amazon Nova 2 Lite1M

Same context window size for both models.

Token calculator →Memory savings →

Amazon Nova 2 Pro Preview 20251202 and Apac Amazon Nova 2 Lite have identical context windows (1000K tokens). Apac Amazon Nova 2 Lite is 84% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • RAG / high-volume retrieval

    Use Apac Amazon Nova 2 Lite. Input tokens are 84% cheaper — critical when sending large retrieved contexts.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecAmazon Nova 2 Pro Preview 20251202Apac Amazon Nova 2 Lite
Context window1,000,000 tokens (1000K)1,000,000 tokens (1000K)
Max output tokens64,000 tokens (64K)64,000 tokens (64K)
Speed tierBalancedBalanced
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoNo
Release dateN/AN/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderAmazon Nova 2 Pro Preview 20251202 inAmazon Nova 2 Pro Preview 20251202 outApac Amazon Nova 2 Lite inApac Amazon Nova 2 Lite out
Aws Bedrock$2.19/M$17.50/M$0.330/M$2.75/M

Frequently asked questions

Apac Amazon Nova 2 Lite has a larger context window: 1000K tokens vs 1000K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savingsLearn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model