Nano Banana 2.1 vs 2, Lite, and Pro: Model Comparison
Compare Nano Banana 2.1, Nano Banana 2, 2 Lite, and Pro by resolution, references, thinking controls, search grounding, pricing, and use case.
Nano Banana 2.1 vs Nano Banana 2, 2 Lite, and Pro: Which Model Should You Choose?
The Nano Banana family now includes several image models with similar names but different product positions.
Google positions Nano Banana 2.1 as its latest high-efficiency general-purpose model. Nano Banana 2 Lite prioritizes speed and cost, Nano Banana Pro targets more complex professional asset production, and Nano Banana 2 remains available even though Google recommends Nano Banana 2.1 for new projects.
The right version depends on whether your workflow prioritizes generation cost, response speed, reference-image consistency, output resolution, or advanced creative control.
Quick Answer
| Your Requirement | Recommended Model |
|---|---|
| A general starting point for a new image project | Nano Banana 2.1 |
| High-volume, low-cost 1K image generation | Nano Banana 2 Lite |
| Multiple reference images followed by multi-turn editing | Nano Banana 2.1 |
| Fast 0.5K previews | Nano Banana 2 |
| Complex professional assets and brand visuals | Nano Banana Pro |
| Lowest Batch API image price at 1K | Nano Banana 2 Lite or Nano Banana 2.1 |
| Up to five character reference images | Nano Banana Pro |
| Google Web and Image Search grounding | Nano Banana 2.1 or Nano Banana 2 |
Comparison Method
This is a documented-capabilities comparison rather than a same-prompt image-quality benchmark.
The comparison focuses on:
- Official model positioning
- Supported image resolutions
- Reference-image limits and allocation
- Character and object consistency capabilities
- Thinking-level controls
Core Capability Comparison
| Capability | Nano Banana 2.1 | Nano Banana 2 | Nano Banana 2 Lite | Nano Banana Pro |
|---|---|---|---|---|
| Primary positioning | High-efficiency generation and editing | Previous-generation high-efficiency workhorse | Fast, low-cost production | Complex professional assets |
| 0.5K output | Not supported | Supported | Not supported | Not supported |
| 1K output | Supported | Supported | Supported | Supported |
| 2K output | Supported | Supported | Not supported | Supported |
| 4K output | Supported | Supported | Not supported | Supported |
| Multiple reference images | Supported | Supported | Not primarily positioned for complex multi-reference workflows | Supported |
| Character references | Up to 4 | Up to 4 | Not positioned as a character-consistency model | Up to 5 |
| Object references | Up to 10 | Up to 10 | Up to 14 object images | Up to 6 |
| Dedicated style references | Not separately specified | Not separately specified | Not separately specified | Up to 3 |
| Configurable thinking levels | minimal, medium, high | minimal, high | minimal, high | Uses a model-managed thinking process |
| Default thinking level | medium | minimal | minimal | Managed by the model |
| Google Web Search grounding | Supported | Supported | Not supported | Supported |
| Google Image Search grounding | Supported | Supported | Not supported | Not documented in the same way as 2.1 |
| Batch API | Supported | Supported | Supported | Supported |
Nano Banana 2.1
Nano Banana 2.1 is currently the strongest general-purpose starting point for new image projects.
According to Google’s official documentation, its main improvements include:
- Better visual quality and realism
- Improved prompt adherence
- Stronger multi-turn character consistency
- More accurate text rendering
- Better infographic layouts
- Improved 2K and 4K panoramic outputs
- Search-grounded image generation
It supports 1K, 2K, and 4K image generation, but it does not offer 0.5K output.
What Is Nano Banana 2.1 Best For?
Nano Banana 2.1 is suitable for:
- Conversational image editing
- Multi-turn local adjustments
- Multi-character consistency
- Multiple product or object references
- 2K and 4K marketing assets
- Images and infographics containing text
- Google Web and Image Search grounding
- New general-purpose image-production workflows
Limitations to Keep in Mind
The official 14-reference-image limit has a specific allocation:
- Up to 4 character reference images
- Up to 10 object reference images
- Up to 14 reference images in total
This does not mean the model can reliably preserve 14 independent characters at the same time.
Nano Banana 2
The model code for Nano Banana 2 is:
gemini-3.1-flash-image
It is the previous-generation high-efficiency workhorse and supports:
- 0.5K, 1K, 2K, and 4K image generation
- Multiple reference-image inputs
- Up to 4 character reference images
- Up to 10 object reference images
- Google Web and Image Search grounding
minimalandhighthinking levels
When Should You Still Use Nano Banana 2?
Nano Banana 2 may still make sense when:
- Your existing production workflow already uses this model
- You specifically need 0.5K output
- You have not completed migration testing for 2.1
- You need to reproduce assets previously generated with this version
For new projects, Google recommends starting with Nano Banana 2.1.
Nano Banana 2 Lite
The model code for Nano Banana 2 Lite is:
gemini-3.1-flash-lite-image
Google positions it as the fastest and lowest-cost model in the current image-generation family. It is intended for workflows where throughput and operating cost matter more than complex editing capabilities.
It only supports 1K image output.
What Is Nano Banana 2 Lite Best For?
Nano Banana 2 Lite is better suited to:
- High-volume 1K image generation
- Rapid concept previews
- Simple product-image variations
- Background or layout ideation
- Latency-sensitive and cost-sensitive workloads
- Workflows that do not depend on complex multi-turn consistency
When Is It Not the Best Choice?
It is not the first choice for:
- Multiple character reference images
- Complex continuous editing
- 2K or 4K output
- Google Search grounding
- Maintaining character consistency across long editing sessions
Nano Banana Pro
The model code for Nano Banana Pro is:
gemini-3-pro-image
Google positions Nano Banana Pro as its advanced option for complex professional visual work, with an emphasis on:
- Stronger world knowledge
- Advanced localization
- Brand consistency
- Detailed creative control
- Professional asset production
Its documented reference-image allocation includes:
- Up to 5 character images
- Up to 6 object images
- Up to 3 style reference images
What Is Nano Banana Pro Best For?
Nano Banana Pro is worth considering when:
- Brand details must be preserved carefully
- The project has complex localization requirements
- You need to maintain more character identities
- Style-reference images are central to the workflow
- Production precision matters more than achieving the lowest generation cost
A higher price does not remove the need for human review. Text, anatomy, logos, object counts, and brand details still need to be checked.
Resolution and Aspect-Ratio Differences
Nano Banana 2.1
Supported output resolutions:
- 1K
- 2K
- 4K
Supported aspect ratios include:
1:11:41:82:33:23:44:14:34:55:48:19:1616:921:9
Nano Banana 2
Nano Banana 2 supports the same primary aspect ratios and additionally supports 0.5K output.
Nano Banana 2 Lite
Nano Banana 2 Lite only supports 1K output, making it more suitable for lightweight and high-volume production.
Nano Banana Pro
Nano Banana Pro supports 1K, 2K, and 4K output. However, Google’s official size table does not list the extreme panoramic formats 1:4, 4:1, 1:8, and 8:1.
Reference-Image Capability Comparison
| Reference-Image Task | Model That Best Matches the Documented Capability |
|---|---|
| Preserve up to 4 characters | Nano Banana 2.1 or Nano Banana 2 |
| Preserve up to 5 characters | Nano Banana Pro |
| Use up to 10 product or object references | Nano Banana 2.1 or Nano Banana 2 |
| Use many object references for 1K generation | Nano Banana 2 Lite |
| Supply separate character, object, and style references | Nano Banana Pro |
| Continue conversational editing after multi-reference generation | Nano Banana 2.1 |
Reference-image limits describe official capacity. They do not guarantee that every detail will remain perfectly unchanged.
As the number of references increases, it becomes more important to:
- Define the purpose of each reference image
- Specify which attributes must remain unchanged
- Describe character, product, and style requirements separately
- Inspect every identity and object
- Change only one main issue at a time
Thinking-Level Comparison
| Model | Supported Levels | Default |
|---|---|---|
| Nano Banana 2.1 | minimal, medium, high | medium |
| Nano Banana 2 | minimal, high | minimal |
| Nano Banana 2 Lite | minimal, high | minimal |
| Nano Banana Pro | Uses the model’s thinking process | Managed by the model |
Nano Banana 2.1 provides the most granular documented thinking-level control in this model group.
A practical starting configuration is:
- Simple editing:
minimal - Standard 2.1 generation:
medium - Complex composition or multiple references:
high
Thinking level adjusts the balance between quality and latency. It is not a fixed image-quality enhancement switch.
Search Grounding
Nano Banana 2.1 and Nano Banana 2 support grounding with Google Web and Image Search.
Potential applications include:
- Live weather graphics
- Recent events
- Data-driven infographics
- Natural-history references
- Time-sensitive editorial visuals
Nano Banana 2 Lite does not support the same search-grounding workflow.
Keep the following limitations in mind:
- Search queries may incur additional charges
- Images of real people returned through Search cannot be used as generation references
- Search-grounded images still require factual review
- Image Search grounding has attribution and presentation requirements
API Pricing Comparison
The following prices are taken from Google’s official API pricing page and were checked on October 8, 2026.
Standard Image Output
| Model | 1K | 2K | 4K |
|---|---|---|---|
| Nano Banana 2.1 | About $0.0336 | About $0.0504 | About $0.113 |
| Nano Banana 2 | About $0.067 | About $0.101 | About $0.151 |
| Nano Banana 2 Lite | About $0.0336 | Not supported | Not supported |
| Nano Banana Pro | About $0.134 | About $0.134 | About $0.24 |
Batch Image Output
| Model | 1K | 2K | 4K |
|---|---|---|---|
| Nano Banana 2.1 | About $0.0168 | About $0.0252 | About $0.0567 |
| Nano Banana 2 | About $0.034 | About $0.050 | About $0.076 |
| Nano Banana 2 Lite | About $0.0168 | Not supported | Not supported |
| Nano Banana Pro | About $0.067 | About $0.067 | About $0.12 |
These figures represent the listed image-output prices. Image input, text output, thinking tokens, Search usage, and other request content may produce additional charges.
Which Model Should You Choose?
| Use Case | Recommended Model | Reason |
|---|---|---|
| A new general-purpose image workflow | Nano Banana 2.1 | The clearest high-efficiency default |
| High-volume, simple 1K assets | Nano Banana 2 Lite | Prioritizes cost and throughput |
| 0.5K preview images | Nano Banana 2 | The only version here explicitly supporting 0.5K |
| Multi-turn product-image editing | Nano Banana 2.1 | Better suited to continuous conversational refinement |
| Consistency for up to 4 characters | Nano Banana 2.1 | Supports up to 4 character reference images |
| Consistency for up to 5 characters | Nano Banana Pro | Supports up to 5 character reference images |
| Complex branded asset production | Nano Banana Pro | Stronger brand and style-reference controls |
| Search-grounded infographics | Nano Banana 2.1 | Supports Web and Image Search grounding |
| Lower-cost 4K API production | Nano Banana 2.1 | Official 4K output pricing is lower than 2 and Pro |
| An existing Nano Banana 2 workflow | Test before migrating | Production stability should be preserved first |
Final Recommendation
For most new image-generation and conversational-editing workflows, Nano Banana 2.1 is the clearest starting point. It combines 1K-to-4K output, multiple reference images, three thinking levels, multi-turn editing, and grounding with Google Web and Image Search.
Choose Nano Banana 2 Lite when 1K generation speed and cost matter most. Continue using Nano Banana 2 when you specifically need 0.5K output or compatibility with an existing workflow. Consider Nano Banana Pro when your project depends on professional brand control, style references, localization, or as many as five character references.