GPT-5 Pro vs Nano Banana Pro

Compare GPT-5 Pro and Nano Banana Pro. Find out which model is better for your specific use case and requirements.

Model Comparison

FeatureGPT-5 ProNano Banana Pro
ProviderOpenAIGoogle
Model Typetextimage
Context Window400,000 tokensN/A
Input Cost
$15.00/ 1M tokens
N/A
Output Cost
$120.00/ 1M tokens
N/A

Strengths & Best Use Cases

GPT-5 Pro

OpenAI

1. Highest reasoning quality in the GPT-5 family

  • Uses significantly more compute to "think harder" before responding.
  • Designed for the toughest reasoning tasks where answer quality matters more than speed.
  • Produces more precise, reliable, and detailed outputs than standard GPT-5.

2. Advanced multi-turn reasoning via Responses API

  • Available only in the Responses API to support:
    • Multi-turn internal model interactions before returning a reply.
    • Advanced control patterns (e.g., background mode for long-running jobs).
  • Ideal for complex workflows, deep planning, and multi-step analysis.

3. Configured for maximum effort by default

  • Always runs with reasoning.effort: 'high' (no lower-effort mode).
  • Prioritizes depth and correctness over latency and cost.

4. Multimodal input

  • Accepts text + image as input.
  • Outputs text, with strong instruction-following and analysis capabilities.

5. Tooling and ecosystem integration

  • Supports Web Search, File Search, and Image Generation (as tools).
  • Supports MCP and other Responses API tooling patterns.
  • Does not support Code Interpreter and does not support Computer Use, keeping focus on pure reasoning + 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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