Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs Nemotron 3 Super (free)

Nano Banana 2 (Gemini 3.1 Flash Image) is Google DeepMind’s flagship Flash image model for high-fidelity generation and fast, advanced editing at scale, optimized for price–performance. It follows complex prompts more reliably and adds configurable thinking levels (Minimal vs High/Dynamic) to balance latency and quality. Nano Banana 2 improves in-image text rendering and supports in-image localization (generate/translate text across languages directly in the image), while leveraging stronger world knowledge and web image search for more grounded, realistic outputs. It supports native aspect ratios (including 4:1, 1:4, 8:1, 1:8) and 512px/1K/2K/4K resolutions.

NVIDIA Nemotron 3 Super is an open hybrid MoE model with 120B parameters, using only 12B active parameters to achieve high computational efficiency and strong accuracy in complex multi-agent scenarios. Based on a hybrid Mamba-Transformer Mixture-of-Experts architecture with multi-token prediction (MTP), it offers more than 50% faster token generation than leading open models. The model includes a 1M-token context window, enabling long-term agent consistency, cross-document reasoning, and multi-step task planning. Latent MoE makes it possible to engage 4 experts at the inference cost of just one, enhancing both intelligence and generalization. Reinforcement learning across more than 10 environments provides top-tier benchmark performance, including AIME 2025, TerminalBench, and SWE-Bench Verified. Released fully open with weights, datasets, and recipes under the NVIDIA Open License, Nemotron 3 Super supports simple customization and secure deployment in any environment — from local workstations to the cloud.