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Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs GPT-5 Image

A side-by-side comparison of two image models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.

Quick verdict: which should you choose?

Choose Nano Banana 2 (Gemini 3.1 Flash Image Preview) if you need

  • Need 400000-token context for large multimodal inputs
  • Require unified processing of images, text, and supported files
  • Prioritize strong native vision capabilities from OpenAI
  • Operate within OpenAI's proprietary multimodal ecosystem

Choose GPT-5 Image if you need

  • Want lower output price at $3 per 1M tokens
  • Need fast responses for image+text preview workflows
  • Use efficient handling of combined image and text inputs
  • Operate within Google's proprietary multimodal preview stack

Verdict

GPT-5 Image leads on maximum context length and unified image-text-file processing via OpenAI's foundation, while Nano Banana 2 wins on price and preview-oriented speed from Google. GPT-5 Image suits workloads needing 400k context; Nano Banana 2 fits cost-sensitive image+text previews. Neither shows intelligence or speed metrics, so direct performance claims remain unsupported.

Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs GPT-5 Image: side by side

SpecNano Banana 2 (Gemini 3.1 Flash Image Preview)GPT-5 ImageWinner
IntelligenceTie
Output speedTie
Output price$3.00/1M$10.00/1MNano Banana 2 (Gemini 3.1 Flash Image Preview)
Context131K400KGPT-5 Image
ParamsTie
TypeProprietaryProprietaryTie
ProviderGoogleOpenAITie

Detailed analysis

Pricing

Winner: Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Nano Banana 2 lists $3 per 1M output tokens versus GPT-5 Image at $10 per 1M. This gives Nano Banana 2 a clear cost advantage for high-volume image and text tasks. No other pricing details are provided.

Context Length

Winner: GPT-5 Image

GPT-5 Image supports 400000 tokens compared with Nano Banana 2's 131072 tokens. The larger window enables handling of extremely large multimodal contexts. Both models are proprietary with unknown parameter counts.

Vision and Multimodal Focus

Winner: Tie

GPT-5 Image highlights strong native vision and unified image-text-file processing. Nano Banana 2 emphasizes efficient image+text handling and long-context multimodal support. Both are image-specialized with noted limits on pure-text depth.

Workflow Suitability

Winner: Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Nano Banana 2 is described as suitable for fast preview workflows. GPT-5 Image notes increased compute demands from its large context. Unknown output speeds prevent further speed comparisons.

Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Pros

  • +Efficient handling of image+text inputs
  • +Strong long-context multimodal support
  • +Fast responses suitable for preview workflows

Cons

  • Preview model may have reduced feature completeness
  • Less depth on pure-text or code tasks versus larger Gemini variants
  • Image-focused specialization limits non-visual use cases
Full Nano Banana 2 (Gemini 3.1 Flash Image Preview) review →

GPT-5 Image

Pros

  • +Strong native vision capabilities
  • +Handles extremely large contexts
  • +Unified processing of images, text, and files
  • +Built on OpenAI's multimodal foundation

Cons

  • Image-specialized focus may limit pure text performance
  • Large context increases compute demands
  • File support restricted to supported formats
Full GPT-5 Image review →

Summary: Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs GPT-5 Image

Choose GPT-5 Image when maximum context and OpenAI-grade vision unification matter most. Select Nano Banana 2 when lower cost and preview speed are priorities. Direct intelligence or latency comparisons are not possible from the given data.

Frequently asked questions

GPT-5 Image is stronger for large-context unified multimodal work; Nano Banana 2 is better for lower-cost preview tasks. No intelligence_index values are available to declare an overall winner.

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