Context Window

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DeepSeek V3 0324 vs Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

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.

Deepseek

Model

DeepSeek V3 0324

Tool calling

Context window

66K

65,536 tokens · ~49K words

Model page
Google

Model

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Image input

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.

DeepSeek V3 032466K
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)66K

Same context window size for both models.

Token calculator →Memory savings →

DeepSeek V3 0324 and Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) have identical context windows (65K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long output (reports, code files)

    Use Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image). Its 66K 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.

SpecDeepSeek V3 0324Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
Context window65,536 tokens (65K)65,536 tokens (65K)
Max output tokens8,192 tokens (8K)66,000 tokens (66K)
Speed tierBalancedFast
VisionNoYes
Function callingYesNo
Extended thinkingYesYes
Prompt cachingYesNo
Batch APINoNo
Release dateMar 2025Jun 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.

ProviderDeepSeek V3 0324 inDeepSeek V3 0324 outNano Banana 2 Lite (Gemini 3.1 Flash Lite Image) inNano Banana 2 Lite (Gemini 3.1 Flash Lite Image) out
Openrouter$0.140/M$0.280/M——

Frequently asked questions

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) has a larger context window: 65K 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.

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