GPT-OSS 20B vs Nano Banana Pro

• Open-weight / Apache 2.0 licensed: you can use, modify, and deploy freely (commercially & academically) under permissive terms.
• Large model size (≈ 21B parameters) with Mixture-of-Experts (MoE) architecture: only ~3.6B parameters active per token, yielding efficient inference. :contentReference[oaicite:1]{index=1}
• Very long context window support: up to ~128 K tokens (or ~131 K tokens per some sources) enabling in-depth reasoning, long documents, or multi-turn context. :contentReference[oaicite:2]{index=2}
• Adjustable reasoning effort: you can trade latency vs quality by tuning “reasoning effort” levels. :contentReference[oaicite:3]{index=3}
• Efficient hardware requirements (for its class): designed to run on a single 16 GB-class GPU or optimized local deployments for lower latency applications. :contentReference[oaicite:4]{index=4}
• Strong for tasks such as reasoning, tool-use, structured output, chain-of-thought debugging: because the model is open and you can inspect its chain of thought. :contentReference[oaicite:5]{index=5}
• Flexibility: since weights are available, you can self-host, fine-tune, or deploy offline, giving more control than closed API models. :contentReference[oaicite:6]{index=6}

1. Studio-quality image generation

• Built on Gemini 3 Pro for exceptionally high fidelity.
• Improved accuracy in composition, physics, lighting, and artistic style.

2. Precise creative controls

• Fine-tune lighting, camera, color grading, focus, and physical realism.
• Ideal for professional production workflows requiring creative direction.

3. Advanced text rendering & localization

• Produces crisp, accurate text inside images (signs, menus, labels, UI elements).
• Can localize text across different languages while preserving layout and style.

4. Multi-input creative workflows

• Supports up to 14 reference images for composite ads or mockups.
• Generates consistent resemblance for up to 5 individuals.
• Works with 2K and 4K resolution outputs.

5. Strong world knowledge

• Understands and reasons about real-world concepts.
• Generates factual assets like diagrams, maps, and educational content.

6. Google Search grounding (when enabled)

• Retrieves real-time web data to improve factual accuracy.
• Useful for data-driven graphics, infographics, and historically accurate visuals.

7. Enhanced editing capabilities

• Handles local edits, transformations, pose changes, and reference-based modifications.
• Maintains stylistic consistency during image-to-image operations.

8. Developer-friendly ecosystem

• Fully integrated into Google AI Studio, Vertex AI, and Antigravity platform.
• Supported in Adobe, Figma, and agentic development workflows.

9. SynthID provenance watermark

• Every generated or edited image includes an invisible SynthID watermark.
• Ensures content authenticity and responsible AI usage.