GPT-4.1 Nano vs Nano Banana

Compare GPT-4.1 Nano and Nano Banana. Find out which model is better for your specific use case and requirements.

Model Comparison

FeatureGPT-4.1 NanoNano Banana
ProviderOpenAIGoogle
Model Typetextimage
Context Window1,047,576 tokensN/A
Input Cost
$0.10/ 1M tokens
N/A
Output Cost
$0.40/ 1M tokens
N/A

Strengths & Best Use Cases

GPT-4.1 Nano

OpenAI

1. Ultra-Fast, Low-Latency Performance

  • The fastest model in the GPT-4.1 family, ideal for real-time interactions and high-throughput applications.
  • Designed for scenarios where speed matters more than complex reasoning.

2. Most Cost-Efficient GPT-4.1 Variant

  • Lowest price point among GPT-4.1 models.
  • Enables large-scale deployments such as support bots, routing systems, and lightweight assistants without high compute costs.

3. Solid Instruction Following

  • Consistent and reliable at following clear instructions.
  • Well-suited for:
    • Classification
    • Simple reasoning
    • Data extraction
    • Content rewriting
    • Chat-style responses

4. Strong Tool Calling Capabilities

  • Built with robust support for:
    • Function calling
    • Structured outputs (e.g., JSON)
    • Lightweight automation tasks
  • Works well within multi-step agent workflows that rely on simple tools.

5. Basic Multimodal Input

  • Supports text and image input.
  • Useful for:
    • Simple visual recognition
    • Alt-text generation
    • Reading graphics or screenshots

6. Text-Only Output

  • Produces text only, ensuring:
    • Clean structured outputs
    • High reliability for downstream processing
    • Ease of integration into backend systems

7. 1M-Token Context Window

  • Supports up to 1,047,576 tokens, allowing:
    • Long documents
    • Multiple files
    • Large prompt memory
  • Reduces or eliminates the need for chunking and retrieval in many simple workflows.

8. Ideal Use Cases

  • Customer support bots
  • Routing and intent detection
  • Simple agents and workflow automation
  • Content cleanup and rewriting
  • Basic Q&A, summaries, and extraction

9. Broad API Integration

  • Available across major API endpoints:
    • Chat Completions
    • Responses
    • Realtime
    • Assistants
    • Fine-tuning
  • Supports predicted outputs for reliability and determinism.

Nano Banana

Google

1. High-quality image generation

  • Produces sharper, more detailed images than Gemini 2.0 Flash.
  • Designed to generate professional-grade, aesthetically consistent visuals.

2. Advanced image editing capabilities

  • Supports targeted, natural-language-driven edits (remove objects, change poses, recolor, blur backgrounds, etc.).
  • Enables precise local transformations with simple prompts.

3. Multi-image fusion

  • Can merge multiple input images intelligently into a single coherent scene.
  • Useful for room restyling, product placement, and photorealistic composite images.

4. Character consistency across prompts

  • Maintains the same character or object across multiple scenes and prompts.
  • Suitable for brand assets, storytelling, product showcases, and multi-angle rendering.

5. Strong world knowledge

  • Inherits Gemini's semantic understanding to reason about real-world objects.
  • Can interpret hand-drawn diagrams and follow complex editing instructions.

6. Low latency + developer-friendly

  • Based on the Gemini Flash family, optimized for responsiveness and cost-effectiveness.
  • Easily testable and remixable using Google AI Studio's app builder.

7. Invisible SynthID watermarking

  • All generated and edited images include Google's invisible SynthID watermark.
  • Ensures traceability and responsible AI output.

8. Works with text + image input

  • Accepts multiple images and text instructions simultaneously.
  • Ideal for building interactive image tools, editors, and creative workflows.

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