GPT Image 1.5 vs Nano Banana 2
Compare pricing, context windows, and strengths for GPT Image 1.5 by OpenAI and Nano Banana 2 by Google - and see how to put either to work in Appaca.
GPT Image 1.5
State-of-the-art image generation model with improved instruction following and adherence to prompts.
View GPT Image 1.5Nano Banana 2
High-efficiency native image model optimized for fast generation, editing, and conversational image workflows at high throughput.
View Nano Banana 2GPT Image 1.5 vs Nano Banana 2 at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT Image 1.5 | Nano Banana 2 |
|---|---|---|
| Provider | OpenAI | |
| Model type | Image | Image |
| Input price | $5 / 1M tokens | - |
| Image generation | From $0.009 / image | - |
| Status | Current | Current |
How GPT Image 1.5 and Nano Banana 2 differ
What the numbers mean in practice when choosing between GPT Image 1.5 and Nano Banana 2.
Our take
GPT Image 1.5 and Nano Banana 2 are the leading image generation options from OpenAI and Google. GPT Image 1.5 is known for prompt fidelity and flexible quality tiers from $0.009 per image, while Nano Banana 2 is built for fast, high-quality generation at scale. For brand and marketing asset pipelines both perform well - test each on your real prompts before standardising.
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GPT Image 1.5 offers three quality tiers and three resolutions, letting you trade cost against detail per job.
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Nano Banana 2 prioritises speed, which suits batch generation and interactive tools.
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Both accept image inputs for editing and reference-guided generation workflows.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT Image 1.5
1. State-of-the-Art Image Generation
- Produces high-quality, detailed images optimized for realism, style control and prompt fidelity.
- Designed to handle complex visual scenes, compositions and lighting conditions.
2. Natively Multimodal Architecture
- Understands and reasons over both text and images as inputs.
- Ideal for workflows like editing based on reference images, expanding sketches or mockups and visual concept development.
3. Flexible Output Resolutions & Quality Levels
- Supports multiple resolutions including 1024x1024, 1024x1536 and 1536x1024.
- Offers three quality tiers (Low, Medium, High) to balance cost, speed and maximum detail.
4. Multiple Pricing Models
- Pay-per-token for multimodal input: text tokens and image tokens.
- Pay-per-image generation for final output: low, medium and high quality tiers.
- Enables businesses to balance cost and output needs.
5. Broad Use Cases
- Product photography and marketing assets.
- Illustration, concept art and creative ideation.
- UX/UI mockups.
- Style-guided image creation.
- Generating reference images for design or storytelling.
6. Supported Across Major API Endpoints
- Available via Chat Completions, Responses, Realtime, Assistants and Images (generations/edits) endpoints.
- Allows tight integration into automated creative pipelines or user-facing apps.
7. Simplified Model Behavior for Stability
- No streaming, function calling, structured outputs or fine-tuning; focused solely on high-quality image generation.
8. Consistent Results via Snapshots
- Supports snapshots for version locking to ensure long-term reproducibility.
9. Ideal For
- Designers, marketers and creatives.
- Product teams needing image assets.
- App builders integrating image generation workflows.
- Agencies producing visual content at scale.
Nano Banana 2
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.
Use GPT Image 1.5 or Nano Banana 2 - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT Image 1.5 or Nano Banana 2 - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by GPT Image 1.5 or Nano Banana 2. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT Image 1.5, test the same tool on Nano Banana 2, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by GPT Image 1.5 or Nano Banana 2 - connected to the tools you already use.
Related comparisons
See how GPT Image 1.5 and Nano Banana 2 stack up against other models in the directory.
FAQs
Pricing models differ: see the full GPT Image 1.5 and Nano Banana 2 pages in the Appaca AI models directory for current pricing details.
Context window data is listed on each model's page in the Appaca AI models directory.
GPT Image 1.5 and Nano Banana 2 are the leading image generation options from OpenAI and Google. GPT Image 1.5 is known for prompt fidelity and flexible quality tiers from $0.009 per image, while Nano Banana 2 is built for fast, high-quality generation at scale. For brand and marketing asset pipelines both perform well - test each on your real prompts before standardising.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by GPT Image 1.5, Nano Banana 2, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with GPT Image 1.5 or Nano Banana 2
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.