LLM ComparisonGPT-5.2 CodexNano Banana Pro

GPT-5.2 Codex vs Nano Banana Pro

Compare GPT-5.2 Codex and Nano Banana Pro. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.2 CodexNano Banana Pro
ProviderOpenAIGoogle
Model Typetextimage
Context Window400,000 tokensN/A
Input Cost
$1.75/ 1M tokens
N/A
Output Cost
$14.00/ 1M tokens
N/A

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Strengths & Best Use Cases

GPT-5.2 Codex

OpenAI

1. Optimized for Long-Horizon Coding Tasks

  • OpenAI describes GPT-5.2 Codex as a highly intelligent coding model built for long-horizon, agentic coding work.
  • Well suited to planning, refactoring, debugging, and multi-step implementation flows inside real codebases.

2. Adjustable Reasoning for Coding Work

  • Supports configurable reasoning effort from low to xhigh depending on speed and quality needs.
  • Accepts both text and image inputs while producing text output.

3. Large Context + Long Output

  • 400 k token context window supports broad repository understanding and larger working sets.
  • Allows up to 128 k output tokens for longer patches, code generation, and technical explanations.

4. Up-to-Date Model Snapshot

  • Knowledge cut-off of Aug 31 2025 keeps it current with newer tools and frameworks.
  • Supports streaming, function calling, and structured outputs for tool-driven coding workflows.

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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