Context Window

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Nano Banana Pro (Gemini 3 Pro Image) vs Minimax M2 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.

Google

Model

Nano Banana Pro (Gemini 3 Pro Image)

Image inputTool calling

Context window

66K

65,536 tokens · ~49K words

Model page
Minimax

Model

Minimax M2 1

Context window

197K

196,608 tokens · ~147K 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.

Nano Banana Pro (Gemini 3 Pro Image)66K
Minimax M2 1197K

Minimax M2 1 has about 3× the context window of the other in this pair.

Token calculator →Memory savings →

Minimax M2 1 has 200% more context capacity (196K vs 65K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Minimax M2 1. Its 196K context fits entire documents without chunking (vs 65K).

  • Long output (reports, code files)

    Use Nano Banana Pro (Gemini 3 Pro Image). Its 32K 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.

SpecNano Banana Pro (Gemini 3 Pro Image)Minimax M2 1
Context window65,536 tokens (65K)196,608 tokens (196K)
Max output tokens32,768 tokens (32K)16,384 tokens (16K)
Speed tierFastFast
VisionYesNo
Function callingYesNo
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoNo
Release dateJun 2026N/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.

ProviderNano Banana Pro (Gemini 3 Pro Image) inNano Banana Pro (Gemini 3 Pro Image) outMinimax M2 1 inMinimax M2 1 out
Gmi——$0.300/M$1.20/M
Minimax——$0.300/M$1.20/M
Novita——$0.300/M$1.20/M
Openrouter——$0.270/M$1.20/M

Frequently asked questions

Minimax M2 1 has a larger context window: 196K 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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