Models & Labs
Together AI Adds 40+ New Image and Video Models
Together AI Blogmedium confidence
Why it matters
- →This expansion enhances the tools available for developers looking to create integrated multimedia applications.
Together AI has expanded its model library by adding over 40 new image and video models, including Sora 2 and Veo 3, aimed at facilitating the development of multimodal applications with OpenAI-compatible APIs.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1Guide to Comparing AI Video Models
Replicate Blog · July 7, 2025 · Background
- 2Prompting Veo 3 with Images
Replicate Blog · August 1, 2025 · Related
- 3Together AI Expands Fine-Tuning Platform Features
Together AI Blog · September 10, 2025 · Related
What happened next
- 4OpenAI Plans New Model Release in 2024
AI Explained · December 12, 2025 · Background
- 5AI Models to Feature Distinct Personas
AI Explained · January 28, 2026 · Background
- 6Together Evaluations Adds Support for Major APIs
Together AI Blog · February 2, 2026 · Related
More in Models & Labs
Models & Labsmodels
llama.cpp b12029 adds CUDA 13 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
llama.cpp Releases
© The Verge AIModels & Labsother
Apple Intelligence arrives in China via iOS 27.3
Apple is finally unlocking its AI suite for Chinese users with the iOS 27.3 beta, marking a significant regulatory milestone after months of approval delays. The rollout relies on Alibaba’s Qwen model rather than OpenAI, integrating features like notification summaries and visual intelligence directly into the OS. By sidestepping the new Siri in favor of established text and image tools, Apple is prioritizing immediate utility over the full generative experience. This move effectively brings Apple’s AI capabilities to a massive new market, albeit with localized constraints that distinguish it from the global release.
The Verge AI
© Matt WolfeModels & Labsmodels
Google Releases Gemini 4 Carbon for Cost-Efficient Inference
Google launched Gemini 4 Carbon, a new model variant aimed at providing high performance at a lower cost for inference tasks.
Matt Wolfe