Context Window

Compare

Amazon Nova Lite vs Nano Banana 2.1

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 Lite

Image inputTool calling

Context window

300K

300,000 tokens · ~225K words

Model page
Google

Model

Nano Banana 2.1

Image inputTool calling

Context window

66K

65,536 tokens · ~49K 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 Lite300K
Nano Banana 2.166K

Amazon Nova Lite has about 4.6× the context window of the other in this pair.

Token calculator →Memory savings →

Amazon Nova Lite has 357% more context capacity (300K vs 65K tokens). Amazon Nova Lite is 96% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Amazon Nova Lite. Its 300K context fits entire documents without chunking (vs 65K).

  • RAG / high-volume retrieval

    Use Amazon Nova Lite. Input tokens are 96% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Nano Banana 2.1. Its 58K max output lets you generate complete artifacts in one request.

Full specs

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

SpecAmazon Nova LiteNano Banana 2.1
Context window300,000 tokens (300K)65,536 tokens (65K)
Max output tokens10,000 tokens (10K)58,982 tokens (58K)
Speed tierBalancedFast
VisionYesYes
Function callingYesYes
Extended thinkingNoYes
Prompt cachingYesNo
Batch APINoNo
Release dateN/AOct 2026

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 Lite inAmazon Nova Lite outNano Banana 2.1 inNano Banana 2.1 out
Aws Bedrock$0.060/M$0.240/M——
Openrouter——$1.50/M$7.50/M

Frequently asked questions

Amazon Nova Lite has a larger context window: 300K tokens vs 65K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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Use a smaller model.
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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.

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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