All tags
Model: "nano-banana-pro"
xAI Grok Imagine API - the #1 Video Model, Best Pricing and Latency - and merging with SpaceX
genie-3 nano-banana-pro gemini lingbot-world grok-imagine runway-gen-4.5 hunyuan-3d-3.1-pro google-deepmind x-ai runway fal interactive-simulation real-time-generation promptability character-customization world-models open-source video-generation audio-generation animation-workflows model-as-a-service 3d-generation latency coherence demishassabis sundarpichai
Google DeepMind launched Project Genie (Genie 3 + Nano Banana Pro + Gemini), a prototype for creating interactive, real-time generated worlds from text or image prompts, currently available to Google AI Ultra subscribers in the U.S. (18+) with noted limitations like ~60s generation limits and imperfect physics. In parallel, the open-source LingBot-World offers a real-time interactive world model with <1s latency at 16 FPS and minute-level coherence, emphasizing interactivity and causal consistency. In video generation, xAI Grok Imagine debuted strongly with native audio support, 15s duration, and competitive pricing at $4.20/min including audio, while Runway Gen-4.5 focuses on animation workflows with new features like Motion Sketch and Character Swap. The 3D generation space sees fal adding Hunyuan 3D 3.1 Pro/Rapid to its API offerings, extending model-as-a-service workflows into 3D pipelines.
OpenAI GPT Image-1.5 claims to beat Nano Banana Pro, #1 across all Arenas, but completely fails Vibe Checks
gpt-image-1.5 nano-banana-pro mimo-v2-flash deepseek-v3.2 openai gemini xiaomi lmsys deepseek openrouter image-generation instruction-following benchmarking model-efficiency long-context multi-token-prediction hybrid-attention model-optimization inference-speed agentic-workflows model-architecture model-quantization fuli_luo eliebakouch
OpenAI released its new image model GPT Image 1.5, featuring precise image editing, better instruction following, improved text and markdown rendering, and faster generation up to 4×. Despite topping multiple leaderboards like LMArena (1277), Design Arena (1344), and AA Arena (1272), user feedback from Twitter, Reddit, and Discord communities is largely negative compared to Nano Banana Pro by Gemini. Xiaomi introduced the MiMo-V2-Flash, a 309B MoE model optimized for inference efficiency with 256K context window, achieving state-of-the-art scores on SWE-Bench. The model uses Hybrid Sliding Window Attention and multi-token prediction, offering significant speedups and efficiency improvements. The timing of OpenAI's launch amid competition from Gemini and Nano Banana Pro affects user sentiment, highlighting challenges in benchmarking relevance.