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Get started freeNano Banana 2 vs Gemini 3 Pro
Compare Nano Banana 2 and Gemini 3 Pro. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Nano Banana 2 | Gemini 3 Pro |
|---|---|---|
| Provider | ||
| Model Type | image | text |
| Context Window | N/A | 1,000,000 tokens |
| Input Cost | N/A | $4.00/ 1M tokens |
| Output Cost | N/A | $18.00/ 1M tokens |
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Strengths & Best Use Cases
Nano Banana 2
Google1. 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
Google1. 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.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for Nano Banana 2
imageSocial Listening Strategy (Signals + Opportunities)
Develop a social listening strategy to monitor persona challenge conversations and surface opportunities to highlight your USP.
Dead Lead Re-Engagement Campaign (3 Emails)
Write a 3-email re-engagement sequence to revive cold buyer/seller leads using a check-in, a value add market update, and a break-up email.
Social Media Campaign (USP + Challenge Angles)
Design a social media campaign that engages your persona with informative and entertaining content tied to your USP and their challenges.
Best for Gemini 3 Pro
textScore Cold Sales Emails
Evaluate and improve a cold sales email using a weighted scorecard (clarity, relevance, proof, CTA, deliverability) with specific rewrite suggestions.
Exit Ticket Creator
Generate quick formative assessments that gauge student understanding and inform next-day instruction.
Create Discovery Questions (Interrogatories + RFPs + RFAs)
Generate clear, organized discovery questions and requests tailored to a specific legal issue and case theory.
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