Mercury by Inception Labs

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 multimodal language model that outperforms GPT-4 and DeepSeek on major benchmarks. Benefit from an optimized MoE architecture that reduces computing costs by 30% while maintaining outstanding performance