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LLM ComparisonGPT-5.2Nano Banana 2

GPT-5.2 vs Nano Banana 2

Compare GPT-5.2 and Nano Banana 2. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.2Nano Banana 2
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

OpenAI

1. Advanced Reasoning for Diverse Domains

  • Built to tackle coding and agentic workflows across multiple industries, with configurable reasoning support.

2. Multi-Modal & Long-Form Capabilities

  • Handles both text and image inputs, producing text output.
  • Allows up to 128 k output tokens for lengthy responses.

3. Large Context & Updated Knowledge

  • 400 k token context window accommodates extensive codebases or documents.
  • Knowledge cut-off of Aug 31 2025 keeps it current with recent developments.

Nano Banana 2

Google

1. High-efficiency counterpart to Gemini 3 Pro Image

  • Google describes Nano Banana 2 as the high-efficiency counterpart to Gemini 3 Pro Image.
  • Optimized for speed and high-volume developer use cases rather than maximum pro-grade fidelity.

2. Native image generation + understanding

  • Accepts text and image inputs and can output both text and images in a conversational workflow.
  • Useful for quick iteration, editing, remixing, and interactive visual applications.

3. Strong throughput with practical image controls

  • Supports up to 14 input images per prompt, 128 k input tokens, and 32,768 output tokens.
  • Handles multiple aspect ratios and can generate or edit images while keeping latency and cost lower than higher-end image models.

4. Grounded, developer-friendly image workflows

  • Supports Google Search grounding and Content Credentials (C2PA) for image outputs.
  • All generated images include SynthID watermarking as part of Google's native image stack.

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