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Get started freeGPT-5.5 vs Nano Banana 2
Compare GPT-5.5 and Nano Banana 2. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.5 | Nano Banana 2 |
|---|---|---|
| Provider | OpenAI | |
| Model Type | text | image |
| Context Window | 1,000,000 tokens | N/A |
| Input Cost | $5.00/ 1M tokens | N/A |
| Output Cost | $30.00/ 1M tokens | N/A |
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Strengths & Best Use Cases
GPT-5.5
OpenAI1. Strongest Agentic Coding Model
- State-of-the-art on Terminal-Bench 2.0 (82.7%), Expert-SWE (73.1%), and SWE-Bench Pro (58.6%), outperforming GPT-5.4 on complex coding tasks.
- Holds context across large systems, reasons through ambiguous failures, and carries changes through surrounding codebases with fewer tokens.
2. Higher Intelligence at GPT-5.4 Latency
- Co-designed, trained, and served on NVIDIA GB200/GB300 NVL72 systems to match GPT-5.4 per-token latency while performing at a significantly higher level.
- Uses fewer tokens to complete the same tasks, making it more efficient as well as more capable.
3. Powerful for Knowledge Work & Computer Use
- Scores 84.9% on GDPval (44 occupations) and 78.7% on OSWorld-Verified for autonomous computer operation.
- Excels at generating documents, spreadsheets, and reports; naturally moves across finding information, using tools, and checking output.
4. Scientific Research Co-Scientist
- Leading performance on GeneBench, BixBench, and FrontierMath; helped discover a new proof about Ramsey numbers verified in Lean.
- Strong enough to meaningfully accelerate progress at the frontiers of biomedical and mathematical research.
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.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-5.5
textSocial 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.
Customer Data Insights (Segmentation + Messaging)
Analyze customer data patterns and convert insights into targeted messaging that emphasizes your USP and addresses persona challenges.
Marketing Attribution Model (Measure What Works)
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Best for Nano Banana 2
imageMarketing-to-Sales Enablement Training (USP Talk Track)
Create a training program for the sales team to communicate your USP and address persona challenges with consistent messaging and proof.
Employee Advocacy Program (Social Sharing System)
Create an employee advocacy program that helps your team share USP-focused content and engage with persona conversations about challenges.
E-commerce Product Description
Create persuasive, SEO-friendly product descriptions that convert visitors into buyers.
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