Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs MiniMax M2.7

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.

MiniMax-M2.7 is a next-generation large language model built for autonomous, real-world productivity and continuous improvement. Designed to take an active role in its own development, M2.7 incorporates advanced agent capabilities through multi-agent collaboration, allowing it to plan, execute, and improve complex tasks across dynamic environments. Trained for production-level performance, M2.7 supports workflows such as live debugging, root cause analysis, financial modeling, and full document creation across Word, Excel, and PowerPoint. It delivers strong benchmark results, including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while reaching 1495 ELO on GDPval-AA, setting a new benchmark for multi-agent systems in real-world digital workflows.