Drug Discovery & Protein Design

Frontier reasoning model tuned for math, science and coding workflows.

Top-tier reasoning model for research, analysis and complex writing.

Long-context multimodal model with native tool use and 1M+ token window.

Open reasoning model trained with RL, competitive with o1-class systems.

Predicts the structure and interactions of life's molecules.

Genome-scale foundation model spanning DNA, RNA and proteins.

Segment Anything for images and video, in real time.

Generative physics platform for robotics simulation and 4D worlds.

Open vision-language models for fine-tuning.

Self-supervised vision foundation model for image features.

Multi-agent variant of Grok 4 for the hardest problems.

Frontier protein language model for biology design.

Open diffusion model for de novo protein design.

Open AlphaFold3-class biomolecular structure prediction model.

Best-in-class medium-range global weather forecasting AI.

Probabilistic AI weather forecasting beating ENS.

LLM tuned for therapeutic and drug development tasks.

World foundation models for physical AI simulation.

Fully open language model with training data and code released.

NVIDIA's open LLM family for synthetic data and reasoning.

Computer vision system that targets herbicide only at weeds in real time.

Leads LMArena Text, WebDev and Vision — Google's flagship multimodal reasoning model.

Extended-thinking variant of Gemini 3 for hardest math, science and research problems.

Segment Anything 3D — reconstructs objects, scenes and human bodies from a single image.

Fully open model flow with training data, checkpoints and recipes for reproducible AI.

Agentic RL vision-language model for tool-integrated visual reasoning.

Cloud generative-AI app delivering near-instant simulation predictions for engineers.

Tencent's deep-reasoning model, mamba-based and tuned for complex multi-step problems.

Google DeepMind's mathematics model tracked by Epoch, focused on geometry.

More than three billion years of evolution have produced an image of biology encoded into the space of natural proteins.

We're contributing Mathstral to the science community to bolster efforts in advanced mathematical problems requiring complex, multi-step logical reasoning.

Modern artificial intelligence (AI) systems are powered by foundation models.

Computational design of protein-binding proteins is a fundamental capability with broad utility in biomedical research and biotechnology.

We introduce Chai-1, a multi-modal foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of tasks relevant to drug discovery.

Artificial general intelligence start-up Kimi, owned by Chinese AI start-up Moonshot AI, on Saturday launched its first reasoning AI model k0-math.

We've developed a new series of AI models designed to spend more time thinking before they respond.

INTELLECT-MATH is a 7B parameter model optimized for mathematical reasoning.

Tsinghua University's mathematics model tracked by Epoch, focused on mathematical reasoning.

We've developed a new series of AI models designed to spend more time thinking before they respond.

Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models.

Claude Sonnet 4 can understand nuanced instructions and context, recognize and correct its own mistakes, and create sophisticated analysis and insights from complex data.

Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models.

Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models.

We introduce MindLink, a new family of large language models developed by Kunlun Inc.

To advance Gemini’s capabilities towards solving hard reasoning problems, we developed a novel reasoning approach, called Deep Think, that naturally blends in parallel thinking techniques during response generation.

Today we're releasing Claude Opus 4.1, an upgrade to Claude Opus 4 on agentic tasks, real-world coding, and reasoning.

Large language models (LLMs) have evolved into agentic systems capable of autonomous tool use and multi-step reasoning for complex problem-solving.

Ling-1T is the first flagship non-thinking model in the Ling 2.0 series, featuring 1 trillion total parameters with ≈ 50 billion active parameters per token.

Today, we’re excited to launch two powerful new additions to the xAI API: Grok 4.1 Fast, our best tool-calling model with a 2M context window.

DeepSeek's language model tracked by Epoch, focused on mathematical reasoning.

SK Telecom's language model tracked by Epoch, focused on code generation.

K-EXAONE is a large-scale multilingual language model developed by LG AI Research.

Fei-Fei Li's World Labs spatial intelligence model that generates explorable 3D worlds from a single image.

LLM-discovered preference optimization algorithm from Sakana's evolutionary research line.

Imbue's research model trained from scratch for robust agentic reasoning and code.

NVIDIA's open 14B text-generation LM supporting autoregressive, diffusion-style parallel, and self-speculative decoding.

Sapient's 1B Hierarchical Reasoning Model for compact, structured chain-of-thought text generation.