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All blog posts, tools, and guides about Multimodal from Developers Digest.
6 resources - 4 posts, 2 tools

Google DeepMind's Gemini Robotics ER 2 is now publicly available via the Gemini API. It watches live video feeds to track task progress, orchestrates VLA models as tools, and coordinates multiple robots. The numbers: 57.4% progress classification, 91.3% moment finding at 0.96s offset.

MiniMax launched H3, an omni-modal generation model that takes text, image, video, and audio input and outputs 2K video with native stereo sound at 0.80 CNY per second. Open weights are promised in the coming days.

Black Forest Labs released FLUX 3, a single multimodal model trained jointly on images, video, and audio that also drives robots on Audi production lines. Here is what it does, how it works, and how to try it.

How to ship Claude's vision API in production. OCR, charts, UI audits, real cost numbers, TypeScript SDK code, and the gotchas that bite at 100k images a month.
Google's frontier model family. Gemini 2.5 Pro has 1M token context and top-tier coding benchmarks. Gemini 3 Pro pushes reasoning further. Free tier via AI Studio.
AI ModelsOpen-source OpenAI API replacement. Runs LLMs, vision, voice, image, and video models on any hardware - no GPU required. 35+ backends. Distributed mode for scaling.
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