Nano Banana 2 Lite is Google's Gemini 3.1 Flash Lite Image model for fast image generation and editing. It sits in a family with Nano Banana 2 (gemini-3.1-flash-image), Nano Banana Pro (gemini-3-pro-image), and the original Nano Banana (gemini-2.5-flash-image).
This comparison focuses on what the models can do: latency, resolution support, image editing depth, text rendering, grounding, thinking support, benchmark results, and workflow fit. It does not compare commercial plan details.
Sources checked on July 1, 2026:
- Google launch blog
- Google Cloud announcement
- Gemini 3.1 Flash Lite Image docs
- Gemini 3.1 Flash Image docs
- Gemini 3 Pro Image docs
- Gemini 2.5 Flash Image docs
- Google DeepMind model card
Quick verdict
| Model | Official model code | Best fit | Main limitation |
|---|---|---|---|
| Nano Banana 2 Lite | gemini-3.1-flash-lite-image | Quick 1K ideation, draft exploration, interactive tools, and local image edits. | No native 2K or 4K output; harder text and advanced edits still need review. |
| Nano Banana 2 | gemini-3.1-flash-image | Balanced production workflows that need stronger quality plus 0.5K, 1K, 2K, or 4K output. | Less specialized for ultra-fast 1K loops than Lite and less final-polish focused than Pro. |
| Nano Banana Pro | gemini-3-pro-image | Final assets, complex layouts, product mockups, factual visuals, and precise text work. | Heavier model tier; not the first choice for rapid exploration. |
| Original Nano Banana | gemini-2.5-flash-image | Legacy workflows that already depend on Gemini 2.5 Flash Image behavior. | Older quality baseline; no thinking support in the model docs. |
For most new workflows, start with Nano Banana 2 Lite when speed and iteration matter most. Move to Nano Banana 2 when output resolution or stronger average quality becomes important. Use Nano Banana Pro when the image needs close-review fidelity, text accuracy, grounding, or structured visual reasoning.
Performance and capability matrix
| Capability | Nano Banana 2 Lite | Nano Banana 2 | Nano Banana Pro | Original Nano Banana |
|---|---|---|---|---|
| Speed signal | Google Cloud says image generation can complete in as little as 4 seconds; docs target sub-2 second latency. | Built for quick interactive generation and repeated creative use cases. | Designed for professional-grade control and reasoning rather than the fastest draft loop. | Described as a high-velocity visual creation model in the Gemini 2.5 family. |
| Resolution support | Optimized for 1K (1024x1024px); docs list 1024px and say 2K/4K are unsupported. | Docs list new support for 0.5K, 2K, and 4K, with 1K as the default. | Best suited to high-fidelity output, including professional still assets and complex compositions. | Legacy image generation path with image and text input/output. |
| Image editing | Supported; docs describe text-to-image, image-plus-text editing, and fast local edits such as color and background changes. | Supported through high-quality image generation and conversational editing. | Supported with advanced creative control for complex editing and product-style work. | Supported for conversational image editing and multimodal visual workflows. |
| Text rendering | Improved over the legacy baseline, but small text and page-length text remain known limitations. | Docs call out improved internationalized text rendering. | Strongest fit for accurate text, complex layouts, factual diagrams, and polished design assets. | Useful for fast creative workflows, but weaker than newer models in official results. |
| Grounding | Search grounding is not supported in the model docs. | Search grounding is supported and can inform generation with text and image search results. | Search grounding and structured outputs are supported in the model docs. | Search grounding is not supported in the model docs. |
| Thinking support | Supported with minimal and high thinking modes. | Supported. | Supported. | Not supported in the model docs. |
Official DeepMind benchmark table
The numbers below are from the Google DeepMind model card for Gemini 3.1 Flash-Lite Image. They use DeepMind's side-by-side human evaluation Elo scale, so they should be read as official model-card comparisons, not public third-party arena rankings.
| Benchmark | Lite thinking | Lite no thinking | Nano Banana 2 | Nano Banana Pro | Original Nano Banana |
|---|---|---|---|---|---|
| General T2I | 1059.0 +/- 7.0 | 1055.0 +/- 6.0 | 1080.0 +/- 6.0 | 1018.0 +/- 5.0 | 929.0 +/- 6.0 |
| Visual Design | 1047.0 +/- 9.0 | 1027.0 +/- 8.0 | 1066.0 +/- 9.0 | 1009.0 +/- 7.0 | 919.0 +/- 9.0 |
| General Editing | 983.0 +/- 9.0 | 954.0 +/- 9.0 | 1062.0 +/- 8.0 | 1054.0 +/- 7.0 | 893.0 +/- 8.0 |
| Text Editing | 961.0 +/- 10.0 | 968.0 +/- 10.0 | 1107.0 +/- 10.0 | 1076.0 +/- 8.0 | 823.0 +/- 11.0 |
| Multi Character Editing, up to 5 | 1020.0 +/- 8.0 | 1034.0 +/- 9.0 | 1103.0 +/- 8.0 | 1135.0 +/- 10.0 | 802.0 +/- 10.0 |
| Multi Product Editing, up to 14 | 1029.0 +/- 8.0 | 1024.0 +/- 9.0 | 1084.0 +/- 10.0 | 1098.0 +/- 9.0 | 940.0 +/- 8.0 |
Two patterns matter for model selection:
- Lite is a substantial upgrade over Original Nano Banana across the listed benchmark rows.
- Nano Banana 2 and Pro still lead on harder editing work, especially text editing, multi-character consistency, and multi-product recontextualization.
When Nano Banana 2 Lite fits best
Use Lite when the workflow needs fast visual feedback and many prompt iterations:
- rapid 1K concept exploration
- social, ad, thumbnail, and marketplace variants
- product mockups where the first pass matters more than final polish
- interactive tools where users expect near-immediate visual response
- local edits such as color swaps, sticker creation, background changes, and quick refinements
- new workflows replacing the original Nano Banana path
Lite is the model to reach for when waiting time changes the product experience. If a user is adjusting a prompt, comparing options, or making small edits in sequence, its speed profile is the main advantage.
When Nano Banana 2 is the better default
Use Nano Banana 2 when the workflow still needs speed but also needs broader capability headroom:
- native 0.5K, 2K, or 4K output options
- stronger average image quality than Lite
- stronger general editing scores
- stronger text editing scores
- web-informed image generation through search grounding
- production creative work where the result may be used directly after review
Nano Banana 2 is the best generalist choice in this family. It is less specialized than Lite for the fastest 1K loops, but it gives teams more room when resolution, grounding, or quality requirements shift during the same workflow.
When Nano Banana Pro is the better fit
Use Pro when the image has to survive close review:
- packaging, print, client delivery, and hero visuals
- images with small typography or complex layout requirements
- factual data visualizations where grounded context matters
- high-fidelity product mockups
- multi-character compositions where consistency is critical
- multi-product recontextualization where final fidelity matters
Pro is the strongest fit for final-pass work. It is the model to use when text, layout, factuality, and detailed visual control matter more than draft-loop speed.
Does Original Nano Banana still make sense?
Original Nano Banana is mainly a compatibility choice. The Gemini 2.5 Flash Image docs still describe it as a high-velocity visual creation model with image and text input/output, but the newer Lite model is the cleaner starting point for most new 1K workflows.
Keep Original Nano Banana only when an existing integration, prompt library, or review process depends on its behavior.
FAQ
Does Nano Banana 2 Lite support 2K or 4K output?
No. The official model docs list image_size as 1024px and state that 2K and 4K are unsupported. Use Nano Banana 2 or Nano Banana Pro when native higher-resolution output is required.
Does Nano Banana 2 Lite support image editing?
Yes. The model docs list image editing as supported and describe interleaved text/image generation and editing. Google Cloud also notes that image generation has the fastest latency and image editing may take slightly longer.
Is Nano Banana 2 Lite good at text rendering?
It is stronger than the legacy model in official comparisons, but text rendering is still a known limitation for small text, long paragraphs, and page-length content. Use Nano Banana 2 or Pro when text accuracy is central to the asset.
Which model should I start with?
Start with Lite when you need fast 1K iteration. Start with Nano Banana 2 when resolution flexibility or stronger all-around quality is already required. Start with Pro when the target image is a final asset with strict text, layout, product, or factual requirements.