Mistral Magistral
Mistral AI's first reasoning model designed to think through complex problems with transparency and multilingual support.
Top AI Tools, Handpicked Daily Just for You
Top AI Tools, Handpicked Daily Just for You
Mistral AI's first reasoning model designed to think through complex problems with transparency and multilingual support.
OpenAI just released o3-pro, an updated version of their most intelligent model, o3, which is designed for more reliable responses by thinking longer.
The latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks.
A Speech Foundation Model for Multilingual Conversational Text-to-Speech.
Efficient Vision-Language-Action Model trained on Lerobot Community Data. Developed by Hugging Face.
An open-source app that lets you run powerful AI models directly on your mobile phone.
A diffusion-based framework for generating lifelike, temporally consistent portrait animations by decoupling identity and motion using pre-trained encoders.
Qwen's first long-context LRM trained with reinforcement learning for long-context reasoning.
Multimodal diffusion foundation models designed to achieve superior performance across diverse domains such as textual reasoning, multimodal understanding, and text-to-image generation.
An open, free, and uncensored captioning Visual Language Model (VLM).
A novel multimodal document image parsing model that follows an analyze-then-parse paradigm.
Windsurf's first frontier model family, built to accelerate the entire software engineering process, not just coding.
A 341 million parameter text-to-audio model optimized to run entirely on Arm CPUs.
A novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic architectural design.
A Unified Framework for Image Customization.
Nvidia’s 600-million-parameter automatic speech recognition (ASR) model designed for high-quality English transcription. (Open Source)
A novel approach that achieves state-of-the-art instruction-based editing using just 0.5% of the training data and 1% of the parameters required by prior SOTA methods.
Takes in a region of an image or a video in the form of points/boxes/scribbles/masks and outputs detailed descriptions to the region.
An open-source LLM designed for formal theorem proving in Lean 4, with initialization data collected through a recursive theorem proving pipeline powered by DeepSeek-V3.
Provides easy one-click API key creation and interactive playgrounds to explore different Llama models.