LLM ComparisonGemini 3.1 ProNano Banana Pro

Gemini 3.1 Pro vs Nano Banana Pro

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

Model Comparison

FeatureGemini 3.1 ProNano Banana Pro
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 Pro

Google

1. Studio-quality image generation

  • Built on Gemini 3 Pro for exceptionally high fidelity.
  • Improved accuracy in composition, physics, lighting, and artistic style.

2. Precise creative controls

  • Fine-tune lighting, camera, color grading, focus, and physical realism.
  • Ideal for professional production workflows requiring creative direction.

3. Advanced text rendering & localization

  • Produces crisp, accurate text inside images (signs, menus, labels, UI elements).
  • Can localize text across different languages while preserving layout and style.

4. Multi-input creative workflows

  • Supports up to 14 reference images for composite ads or mockups.
  • Generates consistent resemblance for up to 5 individuals.
  • Works with 2K and 4K resolution outputs.

5. Strong world knowledge

  • Understands and reasons about real-world concepts.
  • Generates factual assets like diagrams, maps, and educational content.

6. Google Search grounding (when enabled)

  • Retrieves real-time web data to improve factual accuracy.
  • Useful for data-driven graphics, infographics, and historically accurate visuals.

7. Enhanced editing capabilities

  • Handles local edits, transformations, pose changes, and reference-based modifications.
  • Maintains stylistic consistency during image-to-image operations.

8. Developer-friendly ecosystem

  • Fully integrated into Google AI Studio, Vertex AI, and Antigravity platform.
  • Supported in Adobe, Figma, and agentic development workflows.

9. SynthID provenance watermark

  • Every generated or edited image includes an invisible SynthID watermark.
  • Ensures content authenticity and responsible AI usage.

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