Trinity-Large-Thinking

Microsoft’s new reasoning model, trained from scratch and optimized for code. It rivals the best models on SWE-Bench Pro and AIME 2025, while remaining medium-sized and computationally efficient

Take advantage of enhanced audio and visual understanding to create comprehensive multimodal applications, ranging from image analysis to audio interpretation. The open-source E2B and E4B models offer optimal memory capacity and computational efficiency. Perfect for inference on devices with limited resources

Explore a range of height multimodal AI models created by Amazon. Generate text, images and video with high performance thanks to integration with AWS infrastructure

A diffusion-based language model that generates text up to 10 times faster than traditional LLMs. Benefit from increased efficiency and reduced cost for your AI applications requiring fast responses