LLM ComparisonGemini 3.1 ProNano Banana

Gemini 3.1 Pro vs Nano Banana

Compare Gemini 3.1 Pro and Nano Banana. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGemini 3.1 ProNano Banana
ProviderGoogleGoogle
Model Typetextimage
Context Window1,048,576 tokensN/A
Input Cost
$4.00/ 1M tokens
N/A
Output Cost
$18.00/ 1M tokens
N/A

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Strengths & Best Use Cases

Gemini 3.1 Pro

Google

1. Google's most advanced reasoning Gemini model

  • Designed to solve complex problems across multimodal inputs, including text, audio, images, video, PDFs, and full code repositories.
  • Google highlights improved software engineering behavior, better agentic performance, and stronger usability in domains like finance and spreadsheets.

2. Large multimodal context with substantial output room

  • Supports a 1,048,576 token input context window for large repositories, long documents, and multi-source workflows.
  • Allows up to 65,536 output tokens for longer answers, plans, and code generations.

3. More efficient thinking with expanded controls

  • Improves token efficiency and reasoning performance across use cases.
  • Adds the MEDIUM thinking_level option to better balance cost, speed, and quality.

4. Strong support for production agents

  • Supports grounding with Google Search, code execution, function calling, structured outputs, context caching, RAG, and chat completions.
  • Also offers a custom-tools endpoint tuned for agentic workflows that mix bash-like tools with custom code tools.

Nano Banana

Google

1. High-quality image generation

  • Produces sharper, more detailed images than Gemini 2.0 Flash.
  • Designed to generate professional-grade, aesthetically consistent visuals.

2. Advanced image editing capabilities

  • Supports targeted, natural-language-driven edits (remove objects, change poses, recolor, blur backgrounds, etc.).
  • Enables precise local transformations with simple prompts.

3. Multi-image fusion

  • Can merge multiple input images intelligently into a single coherent scene.
  • Useful for room restyling, product placement, and photorealistic composite images.

4. Character consistency across prompts

  • Maintains the same character or object across multiple scenes and prompts.
  • Suitable for brand assets, storytelling, product showcases, and multi-angle rendering.

5. Strong world knowledge

  • Inherits Gemini's semantic understanding to reason about real-world objects.
  • Can interpret hand-drawn diagrams and follow complex editing instructions.

6. Low latency + developer-friendly

  • Based on the Gemini Flash family, optimized for responsiveness and cost-effectiveness.
  • Easily testable and remixable using Google AI Studio's app builder.

7. Invisible SynthID watermarking

  • All generated and edited images include Google's invisible SynthID watermark.
  • Ensures traceability and responsible AI output.

8. Works with text + image input

  • Accepts multiple images and text instructions simultaneously.
  • Ideal for building interactive image tools, editors, and creative workflows.

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