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Get started freeGPT-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
| Feature | GPT-5.2 Codex | Nano Banana Pro |
|---|---|---|
| Provider | OpenAI | |
| Model Type | text | image |
| Context Window | 400,000 tokens | N/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
OpenAI1. 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
Google1. 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.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-5.2 Codex
textBug Fixer & Debugger
Identify bugs in your code, understand why they happen, and get a corrected version.
Code Generator
Generate efficient, documented, and bug-free code snippets in any programming language.
Code Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.
Best for Nano Banana Pro
imageInfluencer Campaign (Partner + Brief + Measurement)
Design an influencer marketing campaign that reaches your persona via credible partners while reinforcing your USP and persona challenges.
Co-Marketing Partnerships (Complementary Brands)
Develop a co-marketing partnership strategy with brands serving the same persona, amplifying reach while reinforcing your USP and persona challenges.
Lead Nurturing Email Series (Education + Objections)
Create a lead nurturing email series that educates prospects, ties your USP to outcomes, and overcomes persona objections and challenges.
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