Nano Banana Pro vs Gemini 1.5 Pro

Compare Nano Banana Pro and Gemini 1.5 Pro. Find out which model is better for your specific use case and requirements.

Model Comparison

FeatureNano Banana ProGemini 1.5 Pro
ProviderGoogleGoogle
Model Typeimagetext
Context WindowN/A1,000,000 tokens
Input CostN/A
$3.50/ 1M tokens
Output CostN/A
$7.00/ 1M tokens

Strengths & Best Use Cases

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.

Gemini 1.5 Pro

Google

1. Breakthrough long-context window up to 1,000,000 tokens

  • Can process 1 hour of video, 11 hours of audio, 700k+ words, or 100k+ lines of code in a single prompt.
  • Supports advanced retrieval, reasoning, summarization, and cross-document tasks.
  • Achieves 99% retrieval accuracy on 1M-token Needle-In-A-Haystack tests.

2. Strong multimodal reasoning across video, audio, images, and text

  • Can analyze long videos (e.g., full silent films), track events, infer causality, and identify small details.
  • Handles large complex documents like manuals, transcripts, and books.

3. High-performance reasoning and problem solving

  • Comparable to Gemini 1.0 Ultra across many benchmarks.
  • Excels at code reasoning, multi-step explanations, and large-scale codebase analysis.

4. Advanced code understanding and generation

  • Performs problem-solving on codebases exceeding 100,000 lines.
  • Capable of cross-file reasoning, debugging guidance, API comprehension, and generating structured code improvements.

5. Efficient Mixture-of-Experts (MoE) architecture

  • Activates only relevant expert pathways per input.
  • Enables faster training, lower latency, and more efficient serving.
  • Dramatically improves scalability and inference speed.

6. Exceptional in-context learning capabilities

  • Learns new tasks directly from long prompts without fine-tuning.
  • Demonstrated by learning to translate a low-resource language (Kalamang) from a grammar manual.

7. High-fidelity multimodal understanding

  • Reads, analyzes, and reasons about long PDFs, code repositories, images, and videos together.
  • Enables new classes of applications: legal analysis, scientific review, codebase audits, long-form content generation, etc.

8. Safety and reliability first

  • Undergoes extensive ethics, safety testing, and red-teaming.
  • Improved representational safety and reduced hallucinations compared to previous generations.

9. Available for developers and enterprises

  • Accessible via AI Studio and Vertex AI.
  • Supports future pricing tiers for expanded context windows.
  • Designed for real enterprise-scale workloads.

10. Widely capable mid-size model

  • Positioned between Gemini Pro and Gemini Ultra generations.
  • Well-balanced: reasoning, multimodality, long-context, and speed.

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