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AI model comparison

Gemini 2.0 Flash-Lite vs Nano Banana 2

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

Gemini 2.0 Flash-Lite from Google lists 1.05M context, 8.19K maximum output, $0.075 input per 1M tokens, $0.30 output per 1M tokens. 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. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Google

Gemini 2.0 Flash-Lite

Gemini 2.0 Flash-Lite from Google: Low-latency Gemini model for high-volume multimodal and agent workloads.

Context
1.05M
Max output
8.19K
Input / 1M tokens
$0.075
Output / 1M tokens
$0.30

Accepts

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

Produces

  • Text output
Full model profilegithub.com ↗
VS

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 ↗

At a glance

Key differences

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

Gemini 2.0 Flash-Lite

  • Context capacity: 1.05M
  • Input price: $0.075
  • Output price: $0.30

Nano Banana 2

  • Maximum output: 32.77K

Context capacity

Higher listed limit

Gemini 2.0 Flash-Lite:1.05M

Nano Banana 2:131.07K

Gemini 2.0 Flash-Lite

Maximum output

Higher listed limit

Gemini 2.0 Flash-Lite:8.19K

Nano Banana 2:32.77K

Nano Banana 2

Input price

Lower listed token rate

Gemini 2.0 Flash-Lite:$0.075

Nano Banana 2:$0.50

Gemini 2.0 Flash-Lite

Output price

Lower listed token rate

Gemini 2.0 Flash-Lite:$0.30

Nano Banana 2:$60.00

Gemini 2.0 Flash-Lite

Specifications

Pricing, limits and capabilities

Specifications for Gemini 2.0 Flash-Lite and Nano Banana 2. Higher limits and lower prices describe these figures only.
SpecificationGemini 2.0 Flash-LiteNano Banana 2
ProviderGoogleGoogle
Listed pricing routeGoogleGoogle
Model familygemini-flash-litegemini-flash
Accepted inputstext, image, audio, video, pdftext, image, video, pdf
Produced outputstexttext, image
Context window1.05MHigher131.07K
Max output8.19K32.77KHigher
Input price / 1M$0.075Lower$0.50
Output price / 1M$0.30Lower$60.00
Reasoning modeNot documentedDocumented
Tool callingDocumentedNot documented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputDocumentedNot documented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Gemini 2.0 Flash-Lite if you need larger context or a lower listed input rate or a lower listed output rate. Consider Nano Banana 2 if you need larger maximum output. 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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