SSyncDev

AI model comparison

Nano Banana 2 vs Gemini 3.6 Flash

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

Nano Banana 2 from Google lists 131.07K context, 32.77K maximum output, $0.50 input per 1M tokens, $60.00 output per 1M tokens. Gemini 3.6 Flash from Google lists 1.05M context, 65.54K maximum output, $1.50 input per 1M tokens, $7.50 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Google

Nano Banana 2

Nano Banana 2 from Google: Image model for prompt-driven generation, editing, and visual design workflows.

Context
131.07K
Max output
32.77K
Input / 1M tokens
$0.50
Output / 1M tokens
$60.00

Accepts

  • Text input
  • Image input
  • Video input
  • PDF input

Produces

  • Text output
  • Image output
Full model profilegithub.com ↗
VS

Google

Gemini 3.6 Flash

Gemini 3.6 Flash from Google: Fast Gemini model balancing multimodal reasoning, tool use, and cost.

Context
1.05M
Max output
65.54K
Input / 1M tokens
$1.50
Output / 1M tokens
$7.50

Accepts

  • Text input
  • Image input
  • Video input
  • Audio input
  • PDF input

Produces

  • Text output
Full model profilegithub.com ↗

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

Nano Banana 2

  • Input price: $0.50

Gemini 3.6 Flash

  • Context capacity: 1.05M
  • Maximum output: 65.54K
  • Output price: $7.50

Context capacity

Higher listed limit

Nano Banana 2:131.07K

Gemini 3.6 Flash:1.05M

Gemini 3.6 Flash

Maximum output

Higher listed limit

Nano Banana 2:32.77K

Gemini 3.6 Flash:65.54K

Gemini 3.6 Flash

Input price

Lower listed token rate

Nano Banana 2:$0.50

Gemini 3.6 Flash:$1.50

Nano Banana 2

Output price

Lower listed token rate

Nano Banana 2:$60.00

Gemini 3.6 Flash:$7.50

Gemini 3.6 Flash

Specifications

Pricing, limits and capabilities

Specifications for Nano Banana 2 and Gemini 3.6 Flash. Higher limits and lower prices describe these figures only.
SpecificationNano Banana 2Gemini 3.6 Flash
ProviderGoogleGoogle
Listed pricing routeGoogleGoogle
Model familygemini-flashgemini-flash
Accepted inputstext, image, video, pdftext, image, video, audio, pdf
Produced outputstext, imagetext
Context window131.07K1.05MHigher
Max output32.77K65.54KHigher
Input price / 1M$0.50Lower$1.50
Output price / 1M$60.00$7.50Lower
Reasoning modeDocumentedDocumented
Tool callingNot documentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedDocumented
Structured outputNot documentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Nano Banana 2 if you need a lower listed input rate. Consider Gemini 3.6 Flash if you need larger context or larger maximum output or a lower listed output rate. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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