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Nano Banana 2 vs Gemini 3 Pro

Compare pricing, context windows, and strengths for Nano Banana 2 by Google and Gemini 3 Pro by Google - and see how to put either to work in Appaca.

image

Nano Banana 2

High-efficiency native image model optimized for fast generation, editing, and conversational image workflows at high throughput.

View Nano Banana 2
text

Gemini 3 Pro

Google's most intelligent multimodal model designed for advanced reasoning, coding, and agentic tasks.

View Gemini 3 Pro

Nano Banana 2 vs Gemini 3 Pro at a glance

Specs and pricing side by side, from the Appaca AI models directory.

Spec Nano Banana 2 Gemini 3 Pro
Provider Google Google
Model type Image Text
Context window - 1M tokens
Input price - $4 / 1M tokens
Output price - $18 / 1M tokens
Status Current Superseded by Gemini 3.1 Pro
Key differences

How Nano Banana 2 and Gemini 3 Pro differ

What the numbers mean in practice when choosing between Nano Banana 2 and Gemini 3 Pro.

  • These are different kinds of model: Nano Banana 2 is an image model while Gemini 3 Pro is a text model, so they often complement each other in a workflow rather than compete.

  • Gemini 3 Pro has been superseded by Gemini 3.1 Pro - for new builds, consider the newer model first.

Strengths side by side

Where each model shines, according to benchmarks and provider positioning.

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.

Gemini 3 Pro

1. State-of-the-art reasoning

  • Top performance across academic reasoning, scientific knowledge, math, and complex problem-solving.
  • Excels at long-horizon, multi-step workflows and deep logical interpretation.

2. World-leading multimodal capabilities

  • Natively understands text, images, videos, audio, and code.
  • Ranked highest on benchmarks like MMMU-Pro, Video-MMMU, ScreenSpot-Pro.

3. Exceptional coding + agentic workflows

  • Strong in competitive coding and real-world agentic tasks (SWE-Bench Verified, Terminal-Bench, LiveCodeBench).
  • Improved tool calling, planning, and execution for autonomous or semi-autonomous agents.

4. Powerful for long-context tasks

  • Effective at 128K-1M context windows with high retrieval accuracy.
  • Ideal for document-heavy workflows, research, analysis, multi-file coding, and multi-document reasoning.

5. Strong information synthesis and interpretation

  • Outperforms peers in chart reasoning, OCR, structured extraction, and screen understanding.
  • Excellent at combining multimodal inputs into coherent, concise answers.

6. High reliability for enterprise tasks

  • Benchmarks show superior factuality, grounding, and parametric knowledge.
  • Strong multilingual accuracy and global commonsense performance.

7. Optimized for production agents

  • Designed for complex multi-step planning, simultaneous task execution, and improved consistency.
  • Works across coding, research, creative workflows, UI generation, and data-heavy applications.
Appaca

Use Nano Banana 2 or Gemini 3 Pro - or both

Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Nano Banana 2 or Gemini 3 Pro - 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 Nano Banana 2 or Gemini 3 Pro. No code, no API keys, no deployment.

Switch models without rebuilding

Start on Nano Banana 2, test the same tool on Gemini 3 Pro, 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 Nano Banana 2 or Gemini 3 Pro - connected to the tools you already use.

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FAQs

Is Nano Banana 2 cheaper than Gemini 3 Pro?

Pricing models differ: see the full Nano Banana 2 and Gemini 3 Pro pages in the Appaca AI models directory for current pricing details.

Which has the larger context window, Nano Banana 2 or Gemini 3 Pro?

Context window data is listed on each model's page in the Appaca AI models directory.

Should I use Nano Banana 2 or Gemini 3 Pro?

It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on Nano Banana 2, test the same tool on Gemini 3 Pro, and switch at any time without rebuilding anything.

Can I use Nano Banana 2 and Gemini 3 Pro without writing code?

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 Nano Banana 2, Gemini 3 Pro, 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 Nano Banana 2 or Gemini 3 Pro

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.