Gemini 3.1 Pro vs Nano Banana 2

1. Google's most advanced reasoning Gemini model

• Designed to solve complex problems across multimodal inputs, including text, audio, images, video, PDFs, and full code repositories.
• Google highlights improved software engineering behavior, better agentic performance, and stronger usability in domains like finance and spreadsheets.

2. Large multimodal context with substantial output room

• Supports a 1,048,576 token input context window for large repositories, long documents, and multi-source workflows.
• Allows up to 65,536 output tokens for longer answers, plans, and code generations.

3. More efficient thinking with expanded controls

• Improves token efficiency and reasoning performance across use cases.
• Adds the MEDIUM thinking_level option to better balance cost, speed, and quality.

4. Strong support for production agents

• Supports grounding with Google Search, code execution, function calling, structured outputs, context caching, RAG, and chat completions.
• Also offers a custom-tools endpoint tuned for agentic workflows that mix bash-like tools with custom code tools.

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.